Index for regul

_regula_
L_1-Norm Minimization With regula Falsi Type Root Finding Methods

_regulable_
Perceptual Quality-regulable Video Coding System With Region-Based Rate Control Scheme
Region-Based perceptual quality regulable bit allocation and rate control for video coding applications

_regular_
360 x 360 Mosaics: regular and Stereoscopic
Accelerated hybrid image reconstruction for non-regular sampling color sensors
Acquiring periodic tilings of regular polygons from images
Adaptive Technique for Accurate Feature Extraction from regular and Irregular Image Data, An
Adjusting the regular Network of Squares Resolution to the Digital Terrain Model Surface Shape
Almost regular Metrics on Groups and Lipschitz-Continuity of Distance Transforms
Application of Polynomial Interpolation for Iterative Complementation of the Missing Nodes in a regular Network of Squares Used for the Construction of a Digital Terrain Model
Application of the genetic algorithm for microwave imaging of a layered dielectric object via the regular shape expansion technique
Are Turn-by-Turn Navigation Systems of regular Vehicles Ready for Edge-Assisted Autonomous Vehicles?
Automatic lattice detection in near-regular histology array images
Behavior Monitoring Using Learning Techniques and regular-Expressions-Based Pattern Matching
Blind Watermarking Via Pixel Modification with regular Rule
Building a regular Decision Boundary with Deep Networks
Building Models of regular Scenes from Structure and Motion
centralised training algorithm with D3QN for scalable regular unmanned ground vehicle formation maintenance, A
Circular Shortest Path on regular Grids
Closed Form Solution for Monocular Re-Projective 3D Pose Estimation of regular Planar Patterns, A
Clustering with r-regular graphs
Comparison Among Distances Based on Neighborhood Sequences in regular Grids, A
Comparison of a regular and an Irregular Decomposition of Regions and Volumes
Comparison Study of Four Texture Synthesis Algorithms on regular and Near-regular Textures, A
Comparison Study of Four Texture Synthesis Algorithms on regular and Near-regular Textures, A
Computationally Efficient Approach for Resampling Microwave Radiances from Conical Scanners to a regular Earth Grid, A
Computer Analysis of regular Repetitive Textures
Computer-Aided Classification of Gastrointestinal Lesions in regular Colonoscopy
Connectivity in the regular polytope representation
Context-Sensitivity of Two-Dimensional regular Array Grammars
Coupling regular Tessellation with RJMCMC Algorithm to Segment SAR Image With Unknown Number Of Classes
Cumulative Inference Algorithm regular Grammars, The
Curve and Surface Reconstruction from regular and Non-Regular Point Sets
Curve and Surface Reconstruction from regular and Non-Regular Point Sets
Deformable Texture: the Irregular-Regular-Irregular Cycle
Design of new class of regular biorthogonal wavelet filter banks using generalized and hybrid lifting structures
Design Of regular Nonseparable Bidimensional Wavelets Using Grobner Basis Techniques
Detecting irregularities in regular patterns
Detecting regular Patterns Using Frequency Domain Self-Filtering
Detection of irregularities in regular patterns
Detection of Near-regular Object Configurations by Elastic Graph Search
Determination of the SNPP VIIRS SDSM Screen Relative Transmittance From Both Yaw Maneuver and regular On-Orbit Data
Differences in the Gaze Behaviours of Pedestrians Navigating between regular and Irregular Road Patterns
Digital Topology: regular Sets and Root Images of the Cross-Median Filter
Digitization of non-regular shapes in arbitrary dimensions
Direct Generation of regular-Grid Ground Surface Map from In-Vehicle Stereo Image Sequences
Discovering Regions Where Users Drive Inefficiently on regular Journeys
Discovering regular and consistent behavioral patterns in topical tweeting
Dominant Motion Analysis in regular and Irregular Crowd Scenes
Dynamic Non-regular Sampling Sensor Using Frequency Selective Reconstruction
Dynamic of Vegetation Growth with regular Climate and Climatic Fluctuations in a Subtropical Mountainous Island, Taiwan, The
Edit Distance of regular Languages
Efficient Method to Map a regular Mesh Into a 3d Neural Network, An
Efficient Polygon Decomposition into Singular and regular Regions Via Voronoi Diagrams
Efficient Polygonal Decomposition Into Singular and regular Regions Via Voronoi Diagrams
efficient region expansion algorithm for regular triangulated meshes, An
Efficient regular grammatical inference for pattern recognition
Efficient regular grammatical inference techniques by the use of partial similarities and their logical relationships
Efficient tracking of regular patterns on non-rigid geometry
empirical comparison of high definition video and regular video in optical flow computation, An
Equivalence Between regular n-G-Maps and n-Surfaces
evolutionary system for near-regular texture synthesis, An
Exemplar based regular texture synthesis using LSTM
Experiments on Picture Representation Using regular Decomposition
Extended-regular Sequence for Automated Analysis of Microarray Images
Extracting Periodicity of a regular Texture-Based on Autocorrelation Functions
Fast transcoding architectures for insertion of non-regular shaped objects in the compressed DCT-domain
Feature Recognition in Line Drawings Using regular Expressions
Finding contrasted and regular edges by a contrario detection of periodic subsequences
Finite fuzzy automata, regular fuzzy languages, and pattern recognition
Flattening-Net: Deep regular 2D Representation for 3D Point Cloud Analysis
FRNet: Factorized and regular Blocks Network for Semantic Segmentation in Road Scene
From regular images to animated heads: A least squares approach
From stereoscopic images to semi-regular meshes
Full Flow: Optical Flow Estimation By Global Optimization over regular Grids
Fully Automatic Camera Calibration Using regular Planar Patterns
Fundamentals of Average Local Variance: Part I: Detecting regular Patterns, The
Fundamentals of Average Local Variance: Part II: Sampling Simple regular Patterns With Optical Imagery, The
Generalized regular Sampling of Trigonometric Polynomials and Optimal Sensor Arrangement
Heterogeneous Traffic Mixing regular and Connected Vehicles: Modeling and Stabilization
Hierarchical Image Segmentation: Part-I: Detection of regular Curves in a Vector Graph
High dynamic range video by spatially non-regular optical filtering
Highly regular wavelets for the detection of clustered microcalcifications in mammograms
How Much Can We See from a UAV-Mounted regular Camera? Remote Sensing-Based Estimation of Forest Attributes in South American Native Forests
Hyperspectral Image Super-Resolution Algorithm Based on Graph regular Tensor Ring Decomposition
ICON: Learning regular Maps Through Inverse Consistency
Images: regular Tempered Distributions
Increasing Imaging Resolution by Non-regular Sampling and Joint Sparse Deconvolution and Extrapolation
Inference of finite-state transducers from regular languages
Inference of Fuzzy regular Pattern Grammar
Inference of regular languages using state merging algorithms with search
Inferring repeated pattern composition in near regular textures
Inferring Stochastic regular Grammar with Nearness Information for Human Action Recognition
Intensity-based image matching for regular firearms
Intra Prediction of regular and Near-Regular Textures Via Graph-Based Inpainting
Intra Prediction of regular and Near-Regular Textures Via Graph-Based Inpainting
Iterative Optimization of Quarter Sampling Masks for Non-regular Sampling Sensors
Large scale on-line handwritten Chinese character recognition using successor method based on stochastic regular grammar
Lattice Structure for regular Linear Phase Paraunitary Filter Bank With Odd Decimation Factor
Lattice-based MRF model for Dynamic Near-regular Texture Tracking and Manipulation, A
Lattice-Based MRF Model for Dynamic Near-regular Texture Tracking, A
Learning and matching human activities using regular expressions
Learning of context-sensitive languages described by augmented regular expressions
LEGO-Net: Learning regular Rearrangements of Objects in Rooms
Leveraging regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling
Location Constrained Pixel Classifiers for Image Parsing with regular Spatial Layout
Manifold-ranking based retrieval using k-regular nearest neighbor graph
MAP Signal Reconstruction with Non regular Grids
Matching and normalization of affine deformed image from regular moments
Measuring Spatial Mismatch between Public Transit Services and regular Riders: A Case Study of Beijing
Medial Axes and Mean Curvature Motion I: regular Points
Merging and Diverging Impact on Mixed Traffic of regular and Autonomous Vehicles
Mesh Convolutional Autoencoder for Semi-regular Meshes of Different Sizes
Modeling and Prediction of regular Ionospheric Variations and Deterministic Anomalies
Modeling Heterogeneous Traffic Mixing regular, Connected, and Connected-Autonomous Vehicles Under Connected Environment
Morphological Approach to Text String Extraction from regular Periodic Overlapping Text-Background Images, A
Motif analysis of noisy regular textures
Motion blur estimation of handheld camera using regular- and short-exposure image pair
Multiscale Contour Segmentation and Approximation: An Algorithm Based on the Geometry of regular Inscribed Polygons
Multiscale Wavelet-Based Test for Isotropy of Random Fields on a regular Lattice, A
Near-regular BTF Texture Model
Near-regular Texture Synthesis
Noncombinatorial detection of regular repetitions under perspective skew
Nonlinear supervised dimensionality reduction via smooth regular embeddings
note on regular kolam array grammars generating right triangles, A
Novel Approach for Semi-regular Mesh Based on Planar Proxies, A
Optimization Algorithm for Shape Analysis of regular Polygons, An
Optimized Butterfly-based lifting scheme for semi-regular meshes
Optimizing line-of-sight using simplified regular terrains
Orientation computation of an inclined textured plane: Study of results for regular macro textures
Other regular, National, Regional, Vision Conferences
PatchMatch-Based Automatic Lattice Detection for Near-regular Textures
Piecewise regular Meshes: Construction and Compression
PLDD: Point-lines distance distribution for detection of arbitrary triangles, regular polygons and circles
Point Pattern Matching for 2-D Point Sets with regular Structure
Products of the SNPP VIIRS SD Screen Transmittance and the SD BRDFs From Both Yaw Maneuver and regular On-Orbit Data
Promise and Perils of Near-regular Texture, The
PSU Near-regular Texture Database
Pure 2D Picture Grammars (P2DPG) and P2DPG with regular Control
Quantitative Evaluation of Near regular Texture Synthesis Algorithms
Quantization Error in regular Grids: Triangular Pixels
Quasi-regular Facade Structure Extraction
Real-time precise detection of regular grids and matrix codes
Real-time rendering of glossy materials with regular sampling
Recognition and learning of a class of context-sensitive languages described by augmented regular expressions
Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a Stochastic regular Grammar
Reconstructing regular meshes from points: A parameterization-based approach
Reconstruction of images taken by a pair of non-regular sampling sensors using correlation based matching
Reconstruction of videos taken by a non-regular sampling sensor
Recovering Local Shape of a Mirror Surface from Reflection of a regular Grid
Reducing randomness of non-regular sampling masks for image reconstruction
RegGeoNet: Learning regular Representations for Large-Scale 3D Point Clouds
regular and Small Target Detection
regular Arcs in Digital Contours
regular Decomposition and Picture Structure
regular Decomposition of Multivariate Time Series and Other Matrices
regular Hierarchical Image and Processing Structures in Machine Vision
regular Hybrid Wavelets and Directional Filter Banks: Extensions and Applications
regular Orthonormal and Biorthogonal Wavelet Filters
regular Polygon Detection
regular polygon detector, The
regular polyhedral descriptor for 3-D object retrieval system
regular Shape Similarity Index: A Novel Index for Accurate Extraction of Regular Objects From Remote Sensing Images
regular Shape Similarity Index: A Novel Index for Accurate Extraction of Regular Objects From Remote Sensing Images
regular Spatial B-Spline Active Contour for Fast Video Segmentation
regular Splitting Graph Network for 3D Human Pose Estimation
regular Texture Analysis as Statistical Model Selection
regular texture removal for video stabilization
regular-Texture Image Retrieval Based on Texture-Primitive Extraction
Resampling Images to a regular Grid From a Non-Regular Subset of Pixel Positions Using Frequency Selective Reconstruction
Resampling Images to a regular Grid From a Non-Regular Subset of Pixel Positions Using Frequency Selective Reconstruction
robust feature-preserving semi-regular remeshing method for triangular meshes, A
Robust image watermarking using non-regular wavelets
Saliency Detection for 3D Surface Geometry Using Semi-regular Meshes
Scale detection via keypoint density maps in regular or near-regular textures
Scale detection via keypoint density maps in regular or near-regular textures
Semi-regular remeshing with reduced remeshing error
Semi-regular Representation and Progressive Compression of 3-D Dynamic Mesh Sequences
Shape from regular Patterns
Shape from regular Patterns: An Example of Constraint Propagation in Vision
Simultaneous Detection of regular Patterns in Ancient Manuscripts Using Gan-based Deep Unsupervised Segmentation
Smoothness of Boundaries of regular Sets
Spatial Pattern Templates for Recognition of Objects with regular Structure
Specification of Edge Penalties for regular and Irregular Pixel Images, The
SuPeR: Milano Retinex implementation exploiting a regular image grid
Texture Pattern Image Generation by regular Markov Chain
Towards Complete Scene and regular Shape for Distortion Rectification by Curve-Aware Extrapolation
Tracking Dynamic Near-regular Texture Under Occlusion and Rapid Movements
Trajectories and Traces on Non-traditional regular Tessellations of the Plane
Trajectory reconstruction for mixed traffic flow with regular, connected, and connected automated vehicles on freeway
Transparent Object Extraction from regular Textured Backgrounds by Using Binary Parallel Operations
Unified Curvature Definition for regular, Polygonal, and Digital Planar Curves, A
Use of Aerial Images for regular Updates of Buildings in the Fundamental Base of Geographic Data of the Czech Republic
Vector Quantizing Feature Space with a regular Lattice
Wavelet Variance Analysis for Random Fields on a regular Lattice
Wavelet-Based L_infty Semi-regular Mesh Coding
Weak Structure Model for regular Pattern Recognition Applied to Facade Images, A
What is regular in Regularization?
Word Spotting and regular Expression Detection in Handwritten Documents
196 for regular

_regularface_
regularface: Deep Face Recognition via Exclusive Regularization

_regularisation_
Adaptive Graph Diffusion regularisation for Discontinuity Preserving Image Registration
Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-adaptive regularisation, An
Automatic Aortic Root Segmentation with Shape Constraints and Mesh regularisation
Automatic Building Extraction and regularisation Technique Using LiDAR Point Cloud Data and Orthoimage, An
Automatic Building Footprint Extraction and regularisation from LIDAR Point Cloud Data
Bilevel Parameter Learning for Higher-Order Total Variation regularisation Models
Calibrating Deep Neural Networks using Explicit regularisation and Dynamic Data Pruning
Characteristic regularisation for Super-Resolving Face Images
Compressed sensing magnetic resonance imaging based on dictionary updating and block-matching and three-dimensional filtering regularisation
Cross-channel regularisation for joint demosaicking and intrinsic lens deblurring
Deep supervised hashing network with integrated regularisation
Detection Of Ship Wakes In Sar Imagery Using Cauchy regularisation
Dictionary Learning with Iterative Laplacian regularisation for Unsupervised Person Re-identification
Diffusion-based regularisation Strategies for Variational Level Set Segmentation
Direct Shape-from-Shading with Adaptive Higher Order regularisation
Discarding jagged artefacts in image upscaling with total variation regularisation
Energy Minimisation Approach to Attributed Graph regularisation, An
Equivalence Results for TV Diffusion and TV regularisation
Facial expression recognition using intra-class variation reduced features and manifold regularisation dictionary pair learning
Fast Interpolated Cameras by Combining a GPU Based Plane Sweep with a Max-Flow regularisation Algorithm
Fast Unsupervised Bayesian Image Segmentation With Adaptive Spatial regularisation
Fractional-order tensor regularisation for image inpainting
Graph regularisation Using Gaussian Curvature
GraphRegNet: Deep Graph regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs
Hetero-Manifold regularisation for Cross-Modal Hashing
Hybrid image compression model based on subband coding and edge-preserving regularisation
Image defogging based on amended dark channel prior and 4-directional L1 regularisation
Image reconstruction for emission tomography using intensity normalised patch-based regularisation
Image recovery and recognition: A combining method of matrix norm regularisation
Image restoration and decomposition using nonconvex non-smooth regularisation and negative Hilbert-Sobolev norm
Image restoration by regularisation in uncorrelated transform domain
Image restoration via DOST and total variation regularisation
Image smoothing via truncated L0 gradient regularisation
Image super-resolution based on the pairwise dictionary selected learning and improved bilateral regularisation
Improved eigenspectrum regularisation for human activity recognition
Infimal Convolution regularisation Functionals of BV and L_p Spaces
Iterative Cauchy Thresholding: regularisation With A Heavy-Tailed Prior
Learning Graph regularisation for Guided Super-Resolution
Learning parametrised regularisation functions via quotient minimisation
Learning Robust Graph regularisation for Subspace Clustering
Low-resolution face recognition and feature selection based on multidimensional scaling joint L 2,1-norm regularisation
Markov random field regularisation models for adaptive binarisation of nonuniform images
Maximum Likelihood Estimation of regularisation Parameters
Model regularisation for Skin Lesion Symmetry Classification: Symderm v2.0
MR image reconstruction using cosupport constraints and group sparsity regularisation
Multi-frame image super resolution using spatially weighted total variation regularisations
Multichannel Image regularisation Using Anisotropic Geodesic Filtering
Multiframe super-resolution based on a high-order spatially weighted regularisation
Multiscale adaptive regularisation Savitzky-Golay method for speckle noise reduction in ultrasound images
Multiview Depth Parameterisation with Second Order regularisation
Natural Image Matting with Total Variation regularisation
Non-parametric mixture model with TV spatial regularisation and its dual expectation maximisation algorithm
Optical Flow on Evolving Surfaces with Space and Time regularisation
Order-Adaptive regularisation for Variational Optical Flow: Global, Local and in Between
Oriented geodesic distance based non-local regularisation approach for optic flow estimation
Probabilistic regularisation and Symmetry in Binocular Dynamic Programming Stereo
Providing clear pruning threshold: A novel CNN pruning method via L0 regularisation
Quick response barcode deblurring via L_0 regularisation based sparse optimisation
RAgE: Robust Age Estimation Through Subject Anchoring With Consistency regularisation
Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold regularisation
Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold regularisation
regularisation Functions and Estimators
regularisation learning of correlation filters for robust visual tracking
regularisation of 3D Signed Distance Fields
regularisation of Linear Classifiers by Adding Redundant Features
regularisation of the limited data computed tomography problem via the boundary element method
Reweighted infrared patch image model for small target detection based on non-convex Lp-norm minimisation and TV regularisation
Robust Visual Object Tracking with Spatiotemporal regularisation and Discriminative Occlusion Deformation
SAR image denoising based on multifractal feature analysis and TV regularisation
Semantic regularisation for Recurrent Image Annotation
Simple algorithm for L1-norm regularisation-based compressed sensing and image restoration
Single image dehazing by latent region-segmentation based transmission estimation and weighted L 1-norm regularisation
Single-image super-resolution with total generalised variation and Shearlet regularisations
Spatial Semantic regularisation for Large Scale Object Detection
Stroke width-based directional total variation regularisation for document image super resolution
Structure-Preserving regularisation Constraints for Shape-from-Shading
Tikhonov regularisation in Diffusion Signal Estimation
Total variation regularisation of images corrupted by non-Gaussian noise using a quasi-Newton method
TV regularisation sparse light field reconstruction model based on guided-filtering, A
Unified Models for Second-Order TV-Type regularisation in Imaging: A New Perspective Based on Vector Operators
Unimodal regularisation based on beta distribution for deep ordinal regression
Zero-Shot Learning Using Synthesised Unseen Visual Data with Diffusion regularisation
82 for regularisation

_regularised_
Accuracy of the regularised dynamic programming stereo
Adaptive regularised L_2-boosting on clustered sparse coefficients for single image super-resolution
Blind deblurring and denoising via a learning deep CNN denoiser prior and an adaptive L 0-regularised gradient prior for passive millimetre-wave images
Bootstrap-Optimised regularised Image Reconstruction for Emission Tomography
Comparative Analysis of Planetscope and Sentinel Sentinel-2 Space-borne Sensors in Mapping Striga Weed Using Guided regularised Random Forest Classification Ensemble, A
Cucumber disease detection using adaptively regularised kernel-based fuzzy C-means and probabilistic neural network
Deep residual network with regularised fisher framework for detection of melanoma
Design and parallel computation of regularised fast Hartley transform
Disentangling Geometry and Appearance with regularised Geometry-Aware Generative Adversarial Networks
Efficient image structural similarity quality assessment method using image regularised feature
Face recognition using regularised generalised discriminant locality preserving projections
Fast convergence of regularised Region-based Mixture of Gaussians for dynamic background modelling
Fast proximal splitting algorithm for constrained TGV-regularised image restoration and reconstruction
Graph regularised sparse NMF factorisation for imagery de-noising
Loose L1/2 regularised sparse representation for face recognition
L_2,1-norm-based sparse principle component analysis with trace norm regularised term
Moving Target Detection in Infrared Imagery Using a regularised CDWT Optical Flow
Multiple Laplacian graph regularised low-rank representation with application to image representation
Multiscale spatially regularised correlation filters for visual tracking
On the expected behaviour of noise regularised deep neural networks as Gaussian processes
Optimally regularised Kernel Fisher Discriminant Analysis
real regularised fractional derivative, A
regularised deep matrix factorised model of matrix completion for image restoration, A
regularised differentiation for image derivatives
regularised IHS-based pan-sharpening approach using spectral consistency constraint and total variation
regularised nonlinear blind signal separation using sparsely connected network
regularised Range Flow
regularised region-based Mixture of Gaussians for dynamic background modelling
regularised restoration of vector quantisation compressed images
regularised transfer learning for hyperspectral image classification
regularised, semi-local hurst estimation via generalised lasso and dual-tree complex wavelets
Robust graph regularised sparse matrix regression for two-dimensional supervised feature selection
robust regularised restoration algorithm based on Topkis-Veinott optimisation method, A
Subpixel image registration regularised by L_1 and L_2 norms
Tensor total variation regularised low-rank approximation framework for video deraining
Video-based person re-identification based on regularised hull distance learning
36 for regularis

_regulariser_
Comparison of Isotropic and Anisotropic Second Order regularisers for Optical Flow, A
Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser
Fast neighbourhood component analysis with spatially smooth regulariser for robust noisy face recognition
Learning Filter Functions in regularisers by Minimising Quotients
LOFReg: An outlier-based regulariser for deep metric learning
Robust Blind Deconvolution with Convolution-Spectrum-Based Kernel regulariser and Poisson-Noise Data Terms
Segmentation of 2D and 3D Objects with Intrinsically Similarity Invariant Shape regularisers
7 for regulariser

_regularising_
regularising neural networks for future trajectory prediction via inverse reinforcement learning framework

_regularities_
2.5D building modeling by discovering global regularities
Automated human motion segmentation via motion regularities
Characterization of contour regularities based on the Levenshtein edit distance
Characterization of Facade regularities in High-Resolution SAR Images
Consistent Estimation of Building Parameters Considering Geometric regularities by Soft Constraints
DDoS Mitigation Based on Space-Time Flow regularities in IoV: A Feature Adaption Reinforcement Learning Approach
Direct Sparse Visual Odometry with Structural regularities for Long Corridor Environments
Distortion-Aware Self-Supervised Indoor 360° Depth Estimation via Hybrid Projection Fusion and Structural regularities
Exploring regularities For Improving Facade Reconstruction From Point Clouds
Extraction of Object Representations from Stereo Image Sequences Utilizing Statistical and Deterministic regularities in Visual Data
High-zoom video hallucination by exploiting spatio-temporal regularities
Interactive 3D Modeling from Multiple Images Using Scene regularities
LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification
On the representation of training tables in a K-valued code and the construction of empirical regularities
Pattern Recognition Method Using Ensembles of regularities Found by Optimal Partitioning
regularities and Singularities in Line Pictures
Singularities and regularities on Line Pictures via Symmetrical Trapezoids
StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation
Video Quality Model of Compression, Resolution and Frame Rate Adaptation Based on Space-Time regularities
19 for regularities

_regularity_
2-D digital curve analysis: A regularity measure
3D Metric Rectification using Angle regularity
Approximate Envelope Minimization for Curvature regularity
Comment on Constructing regularity Feature Trees for Solid Models, A
Complete Parametrization of Piecewise Polynomial Interpolators According to Degree, Support, regularity, and Order
Constructing regularity Feature Trees for Solid Models
Contour regularity Extraction Based on String Edit Distance
Curvature regularity for Multi-label Problems: Standard and Customized Linear Programming
Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation
Detecting and estimating structure regularity of soft tissue organs from ultrasound images
Discovering Texture regularity as a Higher-Order Correspondence Problem
Dynamic Texture Recognition Using Normal Flow and Texture regularity
Dynamical regularity for Action Analysis
Efficient regularity-Based Grouping
Evaluation of yarn regularity using computer vision
fast regularity measure for surface defect detection, A
Fast regularity-constrained plane fitting
Finding defects in texture using regularity and local orientation
Fuzzy Repair of Urban Building Facade Point Cloud Based on Distribution regularity, The
Generating Contrast Curves for Texture regularity Analysis
GridSAR: Grid strength and regularity for robust evaluation of blocking artifacts in JPEG images
Handwritten and Printed Text Separation: Linearity and regularity Assessment
Highlight on a Feature Extracted at Fine Scales: The Pointwise Lipschitz regularity
Hong Kong World: Leveraging Structural regularity for Line-Based SLAM
Image Interpolation Based on 2D-DWT with Novel regularity-Preserving Algorithm Using RLS Adaptive Filters
Image Registration with Guaranteed Displacement regularity
improved EZW algorithm based on set partitioning in hierarchical trees using wavelet regularity, An
INDMF Based regularity Calculation Method and Its Application in the Recognition of Typical Loess Landforms
Intrinsic regularity Detection in 3D Geometry
Inverse problem formulation for regularity estimation in images
Joint Estimation of Local Variance and Local regularity for Texture Segmentation. Application to Multiphase Flow Characterization
Learning regularity in Skeleton Trajectories for Anomaly Detection in Videos
Learning Structural regularity for Evaluating Blocking Artifacts in JPEG Images
Learning Temporal regularity in Video Sequences
Local regularity-based image denoising
Local regularity-Driven City-Scale Facade Detection from Aerial Images
Measuring regularity of Individual Travel Patterns
Measuring regularity of network patterns by grid approximations using the LLL algorithm
Methods for Automatic Extraction of regularity Patterns and its Application to Object-Oriented Image Classification
Multiscale regularity Measure as a Geometric Criterion for Image Segmentation, A
Multitask AET with Orthogonal Tangent regularity for Dark Object Detection
No-Reference Texture regularity Metric Based on Visual Saliency, A
novel image compression method for medical images using geometrical regularity of image structure, A
On the Interplay Between Strong regularity and Graph Densification
On the Role of Contrast and regularity in Perceptual Boundary Saliency
Optimal Algorithms for Extracting Spatial regularity in Images
Part segmentation of slice data using regularity
Pattern regularity as a visual key
Prox-regularity of Rank Constraint Sets and Implications for Algorithms
Quantifying structure regularity in fluorescence microscopy cell images using a novel multi-dimensional approximate entropy metric
Quantifying the regularity of a 3D set of points on the surface of an ellipsoidal object
Quasi-regularity Verification for 2d Polygonal Objects Based on Medial Axis Analysis
r-regularity
RAW tool identification through detected demosaicing regularity
Reduced reference image quality assessment using regularity of phase congruency
regularity analysis on bus networks and route directions by automatic vehicle location raw data
regularity and Complexity of Human Electroencephalogram Dynamics: Applications to Diagnosis of Alzheimers Disease
regularity and Scale-Space Properties of Fractional High Order Linear Filtering
regularity Classes for Locally Orderless Images
regularity Guaranteed Human Pose Correction
regularity of spectral residual for reduced reference image quality assessment
regularity Preserved Superpixels and Supervoxels
regularity Properties of Distance Transformations in Image-Analysis
regularity Scalable Image Coding Based on Wavelet Singularity Detection
regularity selection for effective 3D object reconstruction from a single line drawing
regularity-Based Perceptual Grouping
regularity-Constrained Fast Sine Transforms
regularity-Driven Building Facade Matching between Aerial and Street Views
regularity-Preserving Image Interpolation
Revealing structure in large graphs: Szemeredi's regularity lemma and its use in pattern recognition
Robust shape regularity criteria for superpixel evaluation
Self-similarity based structural regularity for just noticeable difference estimation
Separating Structure from Noise in Large Graphs Using the regularity Lemma
Shape from Angle regularity
Skeletonization of ribbon-like shapes based on regularity and singularity analyses
Spatial Interaction Analysis of Shared Bicycles Mobility regularity and Determinants: A Case Study of Six Main Districts, Beijing
Spatio-Temporal regularity Flow (SPREF): Its Estimation and Applications
Stratified regularity measures with Jensen-Shannon divergence
Study of a Robust Feature: The Pointwise Lipschitz regularity
Surface regularity via the Estimation of Fractional Brownian Motion Index
Synthetic Images as a regularity Prior for Image Restoration Neural Networks
Szemeredi's regularity Lemma and Its Applications to Pairwise Clustering and Segmentation
Tamper Detection Based on regularity of Wavelet Transform Coefficients
Texture Anisotropy, Symmetry, regularity: Recovering Structure and Orientation from Interaction Maps
Using perceptual relation of regularity and anisotropy in the texture with independent component model for defect detection
Video Compression Using Spatiotemporal regularity Flow
Video stabilization using regularity of energy flow
Wavelet Based Image Fusion Method Using Local Multiscale Image regularity, A
88 for regularity

_regularizaron_
Image guided depth enhancement via deep fusion and local linear regularizaron

_regularization_
2-D Seismic Data Reconstruction via Truncated Nuclear Norm regularization
3D Point Cloud Denoising Using Graph Laplacian regularization of a Low Dimensional Manifold Model
ABC-Norm regularization for Fine-Grained and Long-Tailed Image Classification
Accelerated MRI Reconstruction With Separable and Enhanced Low-Rank Hankel regularization
Accurate Light Field Depth Estimation With Superpixel regularization Over Partially Occluded Regions
Achieving robustness in classification using optimal transport with hinge regularization
Active learning with adaptive regularization
Adaptive and Implicit regularization for Matrix Completion
Adaptive Classification for Hyperspectral Image Data Using Manifold regularization Kernel Machines
Adaptive Consistency regularization for Semi-Supervised Transfer Learning
Adaptive Edge-Preserving Variational Framework for Color Image regularization, An
Adaptive Feature Selection via Boosting-Like Sparsity regularization
Adaptive Gaussian Weighted Laplace Prior regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography
Adaptive graph regularization method based on least square regression for clustering
Adaptive Inpainting Algorithm Based on DCT Induced Wavelet regularization
Adaptive Kernel-Based Image Denoising Employing Semi-Parametric regularization
Adaptive L2 regularization in Person Re-Identification
Adaptive MAP Sub-Pixel Mapping Model Based on regularization Curve for Multiple Shifted Hyperspectral Imagery
Adaptive Morphologic regularizations for Inverse Problems
Adaptive Neural regularization Assignment for Semi-Blind Biomedical Image Restoration
Adaptive Projected Clustering with Graph regularization
Adaptive Region Proposal With Channel regularization for Robust Object Tracking
Adaptive regularization for image restoration using a variational inequality approach
Adaptive regularization for Image Segmentation Using Local Image Curvature Cues
Adaptive regularization for multiple image restoration using an extended Total Variations approach
Adaptive regularization in Convex Composite Optimization for Variational Imaging Problems
Adaptive regularization in Image Restoration by Unsupervised Learning
Adaptive regularization in Image Restoration Using a Model Based Neural Network
Adaptive regularization level set evolution for medical image segmentation and bias field correction
Adaptive regularization Method for 3-D GNSS Ionospheric Tomography Based on the U-Curve
Adaptive regularization of a distorted born iterative algorithm for diffraction tomography
Adaptive regularization of Some Inverse Problems in Image Analysis
Adaptive regularization of the NL-means for video denoising
Adaptive regularization of the NL-Means: Application to Image and Video Denoising
Adaptive regularization Parameter for Graph Cut Segmentation
Adaptive regularization Parameter for Pseudo Affine Projection Algorithm
Adaptive regularization With the Structure Tensor
Adaptive regularization-based space-time super-resolution reconstruction
Adaptive regularization: Towards Self-Calibrated Surface Reconstruction
Adaptive Rest Condition Potentials: First and Second Order Edge-Preserving regularization
Adaptive Rest Condition Potentials: Second Order Edge-Preserving regularization
Adaptive Rest Condition Spring System: An Edge-preserving regularization Technique, The
Adaptive Segmentation-Based regularization Term for Image Restoration, An
adaptive surface filter for airborne laser scanning point clouds by means of regularization and bending energy, An
Adaptive thresholding HOSVD algorithm with iterative regularization for image denoising
Adaptive Total Variation regularization Based SAR Image Despeckling and Despeckling Evaluation Index
adaptive two phase blind image deconvolution algorithm for an iterative regularization model, An
Adversarial Defense Via Local Flatness regularization
Adversarial Learning With Margin-Based Triplet Embedding regularization
Adversarial local distribution regularization for knowledge distillation
Adversarial Robustness Via Fisher-Rao regularization
Adversarial Training Based Speech Emotion Classifier With Isolated Gaussian regularization, An
Adversarial Training with Bi-Directional Likelihood regularization for Visual Classification
Adversarial Training with Channel Attention regularization
Adversarially Robust Deep Image Super-resolution Using Entropy regularization
Airborne DLSLA 3-D SAR Image Reconstruction by Combination of Polar Formatting and L_1 regularization
ALERT: Adversarial Learning With Expert regularization Using Tikhonov Operator for Missing Band Reconstruction
Alleviating the estimation bias of deep deterministic policy gradient via co-regularization
Analysis of the electrical impedance tomography algorithm based on finite element method and Tikhonov regularization
Anatomical regularization on Statistical Manifolds for the Classification of Patients with Alzheimer's Disease
Anchor Structure regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization
Anisotropic regularization for Inverse Problems with Application to the Wiener Filter with Gaussian and Impulse Noise
Anisotropic Spatiotemporal regularization in Compressive Video Recovery by Adaptively Modeling the Residual Errors as Correlated Noise
Anisotropic Third-Order regularization for Sparse Digital Elevation Models
Ant Colony Optimization for Image regularization Based on a Nonstationary Markov Modeling
Application of Sparse regularization in Spherical Radial Basis Functions-Based Regional Geoid Modeling in Colorado
Application of the UPRE Method to Optimal Parameter Selection for Large Scale regularization Problems
Approximate regularization for Structural Optical Flow Estimation
ARAPReg: An As-Rigid-As Possible regularization Loss for Learning Deformable Shape Generators
ARRPNGAN: Text-to-image GAN with attention regularization and region proposal networks
Articulated Motion Segmentation Of Point Clouds by Group-Valued regularization
Artifact reduction for POCS-based super resolution with edge adaptive regularization and higher-order interpolants
Artifact-Free Wavelet Denoising: Non-convex Sparse regularization, Convex Optimization
aTGV-SF: Dense Variational Scene Flow through Projective Warping and Higher Order regularization
ATLAS-MVSNet: Attention Layers for Feature Extraction and Cost Volume regularization in Multi-View Stereo
Attention with structure regularization for action recognition
Attention-guided evolutionary attack with elastic-net regularization on face recognition
Attenuation Correction for the HRRT PET-Scanner Using Transmission Scatter Correction and Total Variation regularization
Augmented Cyclic Consistency regularization for Unpaired Image-to-Image Translation
augmented Lagrangian approach to linear inverse problems with compound regularization, An
Automated Detection and Layout regularization of Similar Features In Indoor Point Cloud
Automated Method For 3d Roof Outline Generation And regularization In Airbone Laser Scanner Data, An
Automated regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration
Automatic Extraction And regularization Of Building Outlines From Airborne Lidar Point Clouds
Automatic regularization Method: An Application for 3-D X-Ray Micro-CT Reconstruction Using Sparse Data, An
AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal regularization
Balanced Energy regularization Loss for Out-of-distribution Detection
Bandlet-based sparsity regularization in video inpainting
baseline regularization scheme for transfer learning with convolutional neural networks, A
Batch regularization to converge the deep neural network for indoor RGBD scene understanding
Bayes information criterion for Tikhonov regularization with linear constraints: application to spectral data estimation
Bayesian and regularization Methods for Hyperparameter Estimation in Image Restoration
Bayesian Approach for the Estimation and Transmission of regularization Parameters for Reducing Blocking Artifacts, A
Bayesian Edge regularization in Range Image Segmentation
Bayesian Estimation Based Mumford-Shah regularization for Blur Identification and Segmentation in Video Sequences
Bayesian estimation of regularization and point spread function parameters for Wiener-Hunt deconvolution
Bayesian Framework For regularization, A
Bayesian regularization
Bayesian regularization in Nonlinear Imaging: Reconstructions From Experimental Data in Nonlinearized Microwave Tomography
Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation
Bayesian sparse regularization for parallel MRI reconstruction using complex Bernoulli-Laplace mixture priors
Behaviour of Sample Selection Techniques Under Explicit regularization
beta-DARTS: Beta-Decay regularization for Differentiable Architecture Search
Beyond standard regularization theory
Beyond the Deep Metric Learning: Enhance the Cross-Modal Matching with Adversarial Discriminative Domain regularization
Bi-l0-l2-norm regularization for blind motion deblurring
Bias Analysis and Correction for Ill-Posed Inversion Problem with Sparsity regularization Based on L1 Norm for Azimuth Super-Resolution of Radar Forward-Looking Imaging
Bias Reduction in Variational regularization
Biased anisotropic diffusion: A unified regularization and diffusion approach to edge detection
Biased Anisotropic Diffusion: A Unified regularization and Diffusion Approach to Edge Detection
Bilateral Cyclic Constraint and Adaptive regularization for Unsupervised Monocular Depth Prediction
Bilateral regularization in Reproducing Kernel Hilbert Spaces for Discontinuity Preserving Image Registration
Bilinear Parameterization For Differentiable Rank-regularization
Biologically plausible regularization mechanisms
Bioluminescence Tomography Based on Gaussian Weighted Laplace Prior regularization for In Vivo Morphological Imaging of Glioma
Blind Deconvolution for Poissonian Blurred Image With Total Variation and L0-Norm Gradient regularizations
Blind Deconvolution of Widefield Fluorescence Microscopic Data by regularization of the Optical Transfer Function (OTF)
Blind Deconvolution Using Generalized Cross-Validation Approach to regularization Parameter Estimation
Blind deconvolution using TV regularization and Bregman iteration
Blind Hyperspectral Unmixing Based on Graph Total Variation regularization
Blind Hyperspectral Unmixing Using Total Variation and L_q Sparse regularization
Blind Hyperspectral Unmixing with Enhanced 2DTV regularization Term
Blind Image Restoration by Anisotropic regularization
Blind image restoration utilizing total variation regularization, shock filter and gradient reliability map
Blind image restoration with sparse priori regularization for passive millimeter-wave images
Blind Multiscale Spatial regularization Framework for Kernel-Based Spectral Unmixing, A
Blocking effect removal using regularization and dithering
BLoG: Bootstrapped Graph Representation Learning with Local and Global regularization for Recommendation
Boosting Co-teaching with Compression regularization for Label Noise
Boosting normalized sparsity regularization for blind image deconvolution
Boosting Transductive Few-Shot Fine-tuning with Margin-based Uncertainty Weighting and Probability regularization
Bottom-up Temporal Action Localization with Mutual regularization
Boundary-constrained robust regularization for single image dehazing
Brain MR image segmentation based on local Gaussian mixture model and nonlocal spatial regularization
BranchOut: regularization for Online Ensemble Tracking with Convolutional Neural Networks
Bregmanized Nonlocal regularization for Deconvolution and Sparse Reconstruction
Building Boundary Tracing and regularization from Airborne Lidar Point Clouds
Building Extraction from Satellite Images Using Mask R-CNN with Building Boundary regularization
Cam-Guided U-Net With Adversarial regularization for Defect Segmentation
CapsNet regularization and its conjugation with ResNet for signature identification
CAR: Class-Aware regularizations for Semantic Segmentation
Cardiac Motion Estimation from 3D Echocardiography with Spatiotemporal regularization
Cardiac motion estimation in ultrasound images using spatial and sparse regularizations
CFAR Detection Based on Adaptive Tight Frame and Weighted Group-Sparsity regularization for OTHR
Classification by Cheeger Constant regularization
Classification of PolSAR Image Using Neural Nonlocal Stacked Sparse Autoencoders with Virtual Adversarial regularization
Classification of priors and regularization techniques appurtenant to single image super-resolution
Classifier learning with a new locality regularization method
Clifford Bundles: A Common Framework For Image, Vector Field, and Orthonormal Frame Field regularization
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and regularization
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center regularization
Coarse-to-fine Planar regularization for Dense Monocular Depth Estimation
Coastline Detection Using Fusion of Over Segmentation And Distance regularization Level Set Evolution
CoConut: Co-Classification with Output Space regularization
coding artifacts removal algorithm based on spatial and temporal regularization, A
Codomain scale space and regularization for high angular resolution diffusion imaging
Coherence Retrieval Using Trace regularization
Color Edge Detection and Surface Reconstruction Through regularization
Color Elastica Model for Vector-Valued Image regularization, A
Color image regularization via channel mixing and half quadratic minimization
Color Image Restoration by Saturation-Value Total Variation regularization on Vector Bundles
Color-Aware regularization for Gradient Domain Image Manipulation
Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian regularization
Color-Guided Depth Recovery via Joint Local Structural and Nonlocal Low-Rank regularization
CoMatch: Semi-supervised Learning with Contrastive Graph regularization
Combating Noisy Labels by Agreement: A Joint Training Method with Co-regularization
Combinatorial regularization of Descriptor Matching for Optical Flow Estimation
Combined Active-Passive Soil Moisture Estimation Algorithm With Adaptive regularization in Support of SMAP, A
Combined Tensor Fitting and TV regularization in Diffusion Tensor Imaging Based on a Riemannian Manifold Approach
Combined Use of TSVD and Tikhonov regularization for Mass Flux Solution in Tibetan Plateau, A
Combining interior tomography reconstruction and spatial regularization
Combining Total Variation and Nonlocal Means regularization for Edge Preserving Image Deconvolution
Combining Total Variation regularization with Window-Based Time Delay Estimation in Ultrasound Elastography
Common Spatial Pattern Reformulated for regularizations in Brain-Computer Interfaces
Comparison of regularization Methods for Near-Light-Source Perspective Shape-from-Shading, A
Comparison of the main forms of half-quadratic regularization
Complex-Valued Imaging with Total Variation regularization: An Application to Full-Waveform Inversion in Visco-acoustic Media
Compound regularization of Full-Waveform Inversion for Imaging Piecewise Media
Compounded regularization and Fast Algorithm for Compressive Sensing Deconvolution
Compressed hyperspectral image recovery via total variation regularization assuming linear mixing
Compressed sensing image reconstruction via adaptive sparse nonlocal regularization
Compressed sensing MRI using total variation regularization with K-space decomposition
Compressive Learning of Deep regularization for Denoising
Compressive Radar Imaging of Stationary Indoor Targets With Low-Rank Plus Jointly Sparse and Total Variation regularizations
Compressive regularization Imaging Algorithm for Millimeter-Wave SAIR, A
Compressive Sensing Image Restoration Using Adaptive Curvelet Thresholding and Nonlocal Sparse regularization
Compressive Sensing Reconstruction of Correlated Images Using Joint regularization
Compressive Sensing via Nonlocal Low-Rank regularization
Computation of Stereo Disparity Using regularization
Computational single-photon depth imaging without transverse regularization
Computational Vision and regularization Theory
Conditional Consistency regularization for Semi-Supervised Multi-Label Image Classification
Confidence Interval Constraint-Based regularization Framework for PET Quantization
ConMatch: Semi-supervised Learning with Confidence-Guided Consistency regularization
Consistency Preservation and Feature Entropy regularization for GAN Based Face Editing
Consistency regularization for Domain Adaptation
Consistency regularization for Generalizable Source-free Domain Adaptation
Consistency regularization for Unsupervised Domain Adaptation in Semantic Segmentation
Consistent and Elastic Registration of Histological Sections Using Vector-Spline regularization
Consistent multi-layer subtask tracker via hyper-graph regularization
Consistent Posterior Distributions Under Vessel-Mixing: A regularization for Cross-Domain Retinal Artery/Vein Classification
Consistent Video Style Transfer via Relaxation and regularization
Constant Flow Sampling: A Method to Automatically Select the regularization Parameter in Image Registration
Constrained clustering via spectral regularization
Constrained Convex Optimization Approach to Hyperspectral Image Restoration with Hybrid Spatio-Spectral regularization, A
Constrained Flows of Matrix-Valued Functions: Application to Diffusion Tensor regularization
Constrained H^1-regularization Schemes for Diffeomorphic Image Registration
Constrained Nonlinear Energy Minimization Framework for the regularization of the Stereo Correspondence Problem, A
Constrained Perturbation regularization Approach for Signal Estimation Using Random Matrix Theory
Constrained regularization Approach in Robust Corner Detection, A
Constrained regularization by Denoising With Automatic Parameter Selection
Constrained regularization methods for superresolution
Content-adaptive low rank regularization for image denoising
Continually Learning Self-Supervised Representations with Projected Functional regularization
Continuous Random Walk Model With Explicit Coherence regularization for Image Segmentation, A
Contrastive regularization for Semi-Supervised Learning
Control of the Effects of regularization on Variational Optic Flow Computations
Control proximal gradient algorithm for image L_1 regularization
Control subgradient algorithm for image L_1 regularization
Controlled-Smoothness Stabilizers fo the regularization of Ill-Posed Visual Problems Involving Discontinuities
Convex 1-D Total Variation Denoising with Non-convex regularization
Convex Approach to Superresolution and regularization of Lines in Images, A
Convex Approximation of regularization Models for Motion Estimation with Markov Random Fields, A
Convex Denoising using Non-Convex Tight Frame regularization
Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based regularization, A
Convex Formulation for Multiband Image Classification With Superpixel-Based Spatial regularization
Convex Hodge Decomposition and regularization of Image Flows
Convex Image Denoising via Non-Convex regularization
Convex Image Denoising via Non-convex regularization with Parameter Selection
Convex regularization-based hardware/software co-design for real-time enhancement of remote sensing imagery
Convex Relaxation of Vectorial Problems with Coupled regularization
Convex Semi-definite Positive Framework for DTI Estimation and regularization, A
Convolutional Fine-Grained Classification With Self-Supervised Target Relation regularization
Convolutional Neural Network With Adaptive regularization to Classify Driving Styles on Smartphones
Cooperation of Boundary Attention and Negative Matrix L1 regularization Loss Function for Polyp Segmentation
Correlated Logistic Model With Elastic Net regularization for Multilabel Image Classification
Correlation filter tracker based on sparse regularization
Coupled multi-frame super-resolution with diffusive motion model and total variation regularization
Coupled Tensor Block Term Decomposition with Superpixel-Based Graph Laplacian regularization for Hyperspectral Super-Resolution
Critical regularizations for Neural Surface Reconstruction in the Wild
Cross-domain action recognition via collective matrix factorization with graph Laplacian regularization
Cross-Domain Few-Shot Classification via Dense-Sparse-Dense regularization
Cross-Label Suppression: A Discriminative and Fast Dictionary Learning With Group regularization
Cross-modal domain adaptation for text-based regularization of image semantics in image retrieval systems
Cross-OSN User Modeling by Homogeneous Behavior Quantification and Local Social regularization
Cross-View regularization for Domain Adaptive Panoptic Segmentation
CSIOR: An Algorithm For Ordered Triangular Mesh regularization
CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame regularization
CURE: Curvature regularization for Missing Data Recovery
Curricular Contrastive regularization for Physics-Aware Single Image Dehazing
Curvature preserving image super-resolution with gradient-consistency-anisotropic-regularization prior
Curvature regularization for Curves and Surfaces in a Global Optimization Framework
Curvature-Aware regularization on Riemannian Submanifolds
Curvature-based regularization for surface approximation
Curvature-Preserving regularization of Multi-valued Images Using PDE's
CutMix: regularization Strategy to Train Strong Classifiers With Localizable Features
Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid regularization
Data Specific Spatially Varying regularization for Multimodal Fluorescence Molecular Tomography
Data-Driven Gradient regularization for Quasi-Newton Optimization in Iterative Grating Interferometry CT Reconstruction
Data-Driven regularization Model for Stereo and Flow, A
Deblurring of irregularly sampled images by TV regularization in a spline space
Decoupled coarse-to-fine matching and nonlinear regularization for efficient motion estimation
Decreasing Weighted Sorted L_1 regularization
Deep CNN with Graph Laplacian regularization for Multi-label Image Annotation
Deep Facial Expression Recognition with Occlusion regularization
Deep hierarchical guidance and regularization learning for end-to-end depth estimation
Deep Hypersphere Feature regularization for Weakly Supervised RGB-D Salient Object Detection
Deep Inhomogeneous regularization For Transfer Learning
Deep Neural Network With Consistency regularization of Multi-Output Channels for Improved Tumor Detection and Delineation
Deep Regression by Feature regularization for COVID-19 Severity Prediction
Deep Retinal Image Segmentation With regularization Under Geometric Priors
Deep Spatial-angular regularization for Compressive Light Field Reconstruction over Coded Apertures
Deep Spatial-Angular regularization for Light Field Imaging, Denoising, and Super-Resolution
Deep Video Prediction Through Sparse Motion regularization
Deep-Learned regularization and Proximal Operator for Image Compressive Sensing
Deep-Learning-Based Metal Artefact Reduction With Unsupervised Domain Adaptation regularization for Practical CT Images
DeGPR: Deep Guided Posterior regularization for Multi-Class Cell Detection and Counting
Demosaicing approach based on extended color total-variation regularization
Denoising of Digital Radiographic Images with Automatic regularization Based on Total Variation
Dense Depth Map Reconstruction: A Minimization and regularization Approach which Preserves Discontinuities
Dense disparity estimation based on feature matching and IGMRF regularization
Dense Lightfield Disparity Estimation Using Total Variation regularization
Dense Motion Estimation Using regularization Constraints on Local Parametric Models
Dense Range Image Smoothing Using Adaptive regularization
DENSECL: Haze Mitigation Using Dense Blocks and Contrastive Loss regularization
Depth Image Inpainting: Improving Low Rank Matrix Completion With Low Gradient regularization
Depth Map Super-Resolution Based on Dual Normal-Depth regularization and Graph Laplacian Prior
Depth Map Super-Resolution By Multi-Direction Dictionary and Joint regularization
Depth map super-resolution using non-local higher-order regularization with classified weights
Depth Map Super-Resolution via Joint Local Gradient and Nonlocal Structural regularizations
Depth Recovery from Noisy Gradient Vector Fields Using regularization
Depth Restoration From RGB-D Data via Joint Adaptive regularization and Thresholding on Manifolds
Depth Super-Resolution From RGB-D Pairs With Transform and Spatial Domain regularization
Depth Super-Resolution via Joint Color-Guided Internal and External regularizations
Depth-aware total variation regularization for underwater image dehazing
Descriptor-Based Image Colorization and regularization
DesmokeNet: A Two-Stage Smoke Removal Pipeline Based on Self-Attentive Feature Consensus and Multi-Level Contrastive regularization
Detecting Social Insects in Videos Using Spatiotemporal regularization
Detection and Tracking of Moving Objects Based on a Statistical regularization Method in Space and Time
Detection of Small Target Using Schatten 1/2 Quasi-Norm regularization with Reweighted Sparse Enhancement in Complex Infrared Scenes
Detection, Classification and Boundary regularization of Buildings in Satellite Imagery Using Faster Edge Region Convolutional Neural Networks
Determinant regularization for Gradient-Efficient Graph Matching
Determination of the regularization Parameter to Combine Heterogeneous Observations in Regional Gravity Field Modeling
Deterministic Edge-Preserving regularization in Computed Imaging
Deterministic regularization of three-dimensional optical diffraction tomography
Dictionary learning and similarity regularization based image noise reduction
Diffeomorphic Cardiac Motion Estimation with Anisotropic regularization along Myofiber Orientation
Diffeomorphic Image Registration Model with Fractional-Order regularization and Cauchy-Riemann Constraint, A
Differentiable Mean Opinion Score regularization for Perceptual Speech Enhancement
Differentially Private Federated Learning with Local regularization and Sparsification
Diffusion MRI Tractography of Crossing Fibers by Cone-Beam ODF regularization
Diffusion Tensor regularization with Constraints Preservation
Digital Surface regularization by Normal Vector Field Alignment
Direct Parametric Reconstruction Using Anatomical regularization for Simultaneous PET/MRI Data
Direct regularization From Co-Registered Contrast MRI Improves Image Quality of MRI-Guided Near-Infrared Spectral Tomography of Breast Lesions
Directional Total Generalized Variation regularization for Impulse Noise Removal
Discontinuity Preserving regularization of Inverse Visual Problems
Discontinuity-Preserving and Viewpoint Invariant Reconstruction of Visible Surfaces Using a First-Order regularization
Discrete regularization on Weighted Graphs for Image and Mesh Filtering
Discriminant Analysis regularization in Lightweight Deep CNN Models
Discriminative dictionary learning with low-rank regularization for face recognition
Discriminative Feature Learning With Consistent Attention regularization for Person Re-Identification
Discriminative regularization of the latent manifold of variational auto-encoders
Discriminative transfer learning with sparsity regularization for single-sample face recognition
Distance-Based 3D Face Reconstruction Using regularization
Divergence-Free Wavelets and High Order regularization
DMA regularization: Enhancing Discriminability of Neural Networks by Decreasing the Minimal Angle
DML-GANR: Deep Metric Learning With Generative Adversarial Network regularization for High Spatial Resolution Remote Sensing Image Retrieval
Document Flattening through Grid Modeling and regularization
Domain Adaptive Video Segmentation via Temporal Consistency regularization
Domain consistency regularization for unsupervised multi-source domain adaptive classification
Domain Generalization by Mutual-Information regularization with Pre-trained Models
Domain Generalization via Selective Consistency regularization for Time Series Classification
Domain invariant regularization by disentangling content and style Features for visual domain generalization
Double Reweighted Sparse Regression and Graph regularization for Hyperspectral Unmixing
Douglas-Rachford Splitting Approach to Compressed Sensing Image Recovery Using Low-Rank regularization, A
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution regularization with Semantic Calibration
DropAll: Generalization of Two Convolutional Neural Network regularization Methods
DropDim: A regularization Method for Transformer Networks
Dual Adaptive regularization Method to Remove Mixed Gaussian-Poisson Noise, A
Dual Constrained TV-based regularization on Graphs
Dual Meta-Learning with Longitudinally Generalized regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
Dual-Tuning: Joint Prototype Transfer and Structure regularization for Compatible Feature Learning
Duality Principle for Image regularization and Perceptual Color Correction Models
Dynamic and reliable subtask tracker with general schatten p-norm regularization
Dynamic Cell Imaging in PET With Optimal Transport regularization
Dynamic Image Reconstruction Using Temporally Adaptive regularization for Emission Tomography
Dynamic MRI Using SmooThness regularization on Manifolds (SToRM)
Dynamic PET Reconstruction Using Wavelet regularization With Adapted Basis Functions
Dynamic Saliency-Aware regularization for Correlation Filter-Based Object Tracking
Dynamic tomography using curve evolution with spatial-temporal regularization
EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled regularization
Edge Detection and Surface Reconstruction Using Refined regularization
Edge Detection Using Refined regularization
Edge detection with iteratively refined regularization
Edge-and-corner preserving regularization for image interpolation and reconstruction
Edge-Preserving Anatomical-Based regularization Term for the Nas-Rif Restoration of SPECT Images, An
Edge-Preserving Image regularization Based on Morphological Wavelets and Dyadic Trees
edge-preserving subband coding model based on non-adaptive and adaptive regularization, An
Edge-preserving tomographic reconstruction with nonlocal regularization
Efficient 2D Tikhonov smoothness regularization with recursive filtering
Efficient Algorithm for Nonconvex Minimization and Its Application to PM regularization
Efficient and Effective Tool for Image Segmentation, Total Variations and regularization, An
Efficient and Robust MultiView Clustering With Anchor Graph regularization
Efficient Correlation Tracking via Center-Biased Spatial regularization
Efficient Deblocking With Coefficient regularization, Shape-Adaptive Filtering, and Quantization Constraint
Efficient edge-preserving regularization for limited-angle tomography
Efficient Feature Reconstruction via l2,1-Norm regularization for Few-Shot Classification
Efficient half-quadratic regularization with granularity control
Efficient Hyperelastic regularization for Registration
Efficient Image Dehazing with Boundary Constraint and Contextual regularization
Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation regularization, An
Efficient Joint-Dimensional Search with Solution Space regularization for Real-Time Semantic Segmentation
Efficient minimal-surface regularization of perspective depth maps in variational stereo
Efficient multi-label classification with hypergraph regularization
Efficient Multiscale regularization With Applications To The Computation Of Optical Flow
Efficient Nonlocal regularization for Optical Flow
Efficient Numerical Method for General L_{p} regularization in Fluorescence Molecular Tomography, An
efficient systolic array grid-based structure of the robust Bayesian regularization technique for real-time enhanced imaging in uncertain remote sensing environment, An
Eigenfeature regularization and Extraction in Face Recognition
EIT Imaging regularization Based on Spectral Graph Wavelets
Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and regularization
Elastic-net regularization of singular values for robust subspace learning
Elastica Models for Color Image regularization
Electron Paramagnetic Resonance Image Reconstruction with Total Variation regularization
Encouraging Disentangled and Convex Representation with Controllable Interpolation regularization
Energy Functions for regularization Algorithms
Energy Minimum regularization in Continual Learning
Enhanced 3DTV regularization and Its Applications on HSI Denoising and Compressed Sensing
Enhanced manifold regularization for semi-supervised classification
Enhanced Visualization of DBT Imaging Using Blind Deconvolution and Total Variation Minimization regularization, An
Enhancement of historical printed document images by combining Total Variation regularization and Non-local Means filtering
Enhancement of the Krylov Subspace regularization for Microwave Biomedical Imaging
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted regularization and Knowledge Distillation
Enhancing Emotion Classification Through Speech and Correlated Emotional Sounds via a Variational Auto-Encoder Model with Prosodic regularization
Enhancing Exemplar SVMs using Part Level Transfer regularization
Enhancing feature tracking with gyro regularization
Enhancing Low-Rank Subspace Clustering by Manifold regularization
Ensemble manifold regularization
Ensemble Manifold regularization
Entrack: Probabilistic Spherical Regression with Entropy regularization for Fiber Tractography
Entropy metric regularization for computational imaging with sensor arrays
Entropy regularization for unsupervised clustering with adaptive neighbors
Entropy regularization for weakly supervised object localization
Epigraphically-Relaxed Linearly-Involved Generalized Moreau-Enhanced Model for Layered Mixed Norm regularization
Equivalence of the Taut String Algorithm and BV-regularization, The
Error-Weighted regularization Algorithm for Image Motion-Field Estimation, An
Estimating Force Fields of Living Cells: Comparison of Several regularization Schemes Combined with Automatic Parameter Choice
Estimation of Depth-from-Motion Combining Iterative Prediction Scheme and regularization Framework
Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed L_1/L_2 regularization
Evaluation of an Anti-regularization Technique in Neural Networks
Evaluation of regularization Techniques for Transformers-based Models
Expectation-maximization algorithm with total variation regularization for vector-valued image segmentation
Explicit Model Size Control and Relaxation via Smooth regularization for Mixed-Precision Quantization
Exploiting mixing regularization for truly unsupervised font synthesis
Exploring Categorical regularization for Domain Adaptive Object Detection
expOSE: Accurate Initialization-Free Projective Factorization using Exponential regularization
Extended Chirp Scaling-Baseband Azimuth Scaling-Based Azimuth: Range Decouple L_1 regularization for TOPS SAR Imaging via CAMP
Extended Mumford-Shah regularization in Bayesian Estimation for Blind Image Deconvolution and Segmentation
Extending alpha-expansion to a larger set of regularization functions
Extending Lkn Climate Regionalization With Spatial regularization: An Application To Epidemiological Research
Extending Momentum Contrast With Cross Similarity Consistency regularization
Extraction of Anisotropic Characteristics of Scattering Centers and Feature Enhancement in Wide-Angle SAR Imagery Based on the Iterative Re-Weighted Tikhonov regularization
Face Hallucination Via Weighted Adaptive Sparse regularization
Face recognition based on adaptive margin and diversity regularization constraints
Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast regularization
face super-resolution approach using shape semantic mode regularization, A
Fantope regularization in Metric Learning
Fast Adaptive Local Subspace Learning With Regressive regularization
Fast and Accurate Matrix Completion via Truncated Nuclear Norm regularization
Fast and Accurate Spectrum Estimation via Virtual Coarray Interpolation Based on Truncated Nuclear Norm regularization
Fast and high quality learning-based super-resolution utilizing TV regularization method
Fast Explicit Diffusion for Registration with Direction-Dependent regularization
Fast Fully Data-Driven Image Restoration by means of Edge-Preserving regularization
Fast GL(n)-Invariant Framework for Tensors regularization
Fast image deconvolution using closed-form thresholding formulas of regularization
Fast Image Reconstruction Algorithms Combining Half-quadratic regularization and Preconditioning
Fast Invariant Riemannian DT-MRI regularization
Fast Local Trust Region Technique for Diffusion Tensor Registration Using Exact Reorientation and regularization
Fast MR image reconstruction with orthogonal wavelet regularization via shift-variant shrinkage
Fast Predictions of Variance Images for Fan-Beam Transmission Tomography With Quadratic regularization
Fast regularization of Matrix-Valued Images
Fast Variance Prediction for Iteratively Reconstructed CT Images With Locally Quadratic regularization
Feature Extraction via Multi-View Non-Negative Matrix Factorization with Local Graph regularization
Feature Line Generation and regularization From Point Clouds
Feature Statistics Mixing regularization for Generative Adversarial Networks
Feature Weighting and regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCI
Feature-Enhanced Synthetic Aperture Radar Image Formation Based on Nonquadratic regularization
Federated learning with l1 regularization
Few-Shot Non-Line-of-Sight Imaging with Signal-Surface Collaborative regularization
Few-shot prototype alignment regularization network for document image layout segementation
Fidelity-Embedded regularization Method for Robust Electrical Impedance Tomography, A
Filter Pruning using Hierarchical Group Sparse regularization for Deep Convolutional Neural Networks
Fine-Granularity and Spatially-Adaptive regularization for Projection-Based Image Deblurring
Flexible Space-Variant Anisotropic regularization for Image Restoration with Automated Parameter Selection, A
FOCUSR: Feature Oriented Correspondence Using Spectral regularization: A Method for Precise Surface Matching
Foothill: A Quasiconvex regularization for Edge Computing of Deep Neural Networks
Formulating Event-Based Image Reconstruction as a Linear Inverse Problem With Deep regularization Using Optical Flow
Fourier-wavelet regularization of phase retrieval in x-ray in-line phase tomography
Fractional regularization to Improve Photoacoustic Tomographic Image Reconstruction
Frame Rate Up-Conversion Using Bi-Directional Optical Flows With Dual regularization
Framework for Moving Least Squares Method with Total Variation Minimizing regularization, A
FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency regularization
Frequency domain regularization for iterative adversarial attacks
Frequency domain regularization of d-dimensional structure tensor-based directional fields
Frequency Dropout: Feature-level regularization via Randomized Filtering
Frustratingly Easy regularization on Representation Can Boost Deep Reinforcement Learning
Fully Automatic Video Colorization With Self-regularization and Diversity
Functional Liftings of Vectorial Variational Problems with Laplacian regularization
Fusion of public DEMs based on sparse representation and adaptive regularization variation model
Fuzzy Model-based Neural Network for Adaptive regularization in Image Restoration, A
Gaussian kernel fuzzy c-means with width parameter computation and regularization
GCV-Aided linear image regularization for the reconstruction of wave distribution function of magnetospheric VLF/ELF waves
General Choice of the regularization Functional in Regularized Image-Restoration
general learning framework using local and global regularization, A
General nonconvex total variation and low-rank regularizations: Model, algorithm and applications
General Retinal Vessel Segmentation Using regularization-Based Multiconcavity Modeling
Generalized Higher Degree Total Variation (HDTV) regularization
Generalized Pseudo-Labeling in Consistency regularization for Semi-Supervised Learning
Generation of anisotropic-smoothness regularization filters for EIT
Generative regularization with latent topics for discriminative object recognition
Generative Shape regularization Model for Robust Face Alignment, A
Generative Video Face Reenactment by AUs and Gaze regularization
Geometric and texture inpainting based on discrete regularization on graphs
geometric approach for color image regularization, A
Geometric Approach for regularization of the Data Term in Stereo-Vision, A
Geometrical regularization of Displacement Fields with Application to Biological Image Registration
Geometry-Consistent Light Field Super-Resolution via Graph-Based regularization
Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without regularization, The
Global Solutions Of Variational Models With Convex regularization
GMRLNet: A Graph-Based Manifold regularization Learning Framework for Placental Insufficiency Diagnosis on Incomplete Multimodal Ultrasound Data
GPS-Based Radio Tomography With Edge-Preserving regularization
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity regularization
Gradient Coils Design with regularization Method for Superconducting Magnetic Resonance Imaging
Graph dual regularization non-negative matrix factorization for co-clustering
Graph Laplacian regularization based on the Differences of Neighboring Pixels for Conditional Convolutions for Instance Segmentation
Graph Laplacian regularization for Image Denoising: Analysis in the Continuous Domain
Graph Laplacian regularization for Robust Optical Flow Estimation
Graph Laplacian regularization With Sparse Coding for Image Restoration and Representation
Graph matching with low-rank regularization
Graph regularization for color image processing
Graph regularization multidimensional projection
Graph regularization Network with Semantic Affinity for Weakly-Supervised Temporal Action Localization
Graph-Based Non-Convex Low-Rank regularization for Image Compression Artifact Reduction
Graph-based regularization for color image demosaicking
Graph-Based regularization of Binary Classifiers for Texture Segmentation
Graph-based tracking of the tongue contour in ultrasound sequences with adaptive temporal regularization
Graph-Constrained Contrastive regularization for Semi-weakly Volumetric Segmentation
GridMix: Strong regularization through local context mapping
Group Pruning Using a Bounded-Lp Norm for Group Gating and regularization
Group-Lasso: L1,inf regularization versus L1,2 Regularization, The
Group-Lasso: L1,inf regularization versus L1,2 Regularization, The
Group-Valued regularization for Analysis of Articulated Motion
Group-Valued regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes
Group-wise Inhibition based Feature regularization for Robust Classification
Guided deep embedded clustering regularization for multifeature medical signal classification
Guided Deep Generative Model-Based Spatial regularization for Multiband Imaging Inverse Problems
Hallucinating Face Image by regularization Models in High-Resolution Feature Space
Hardmix: A regularization Method to Mitigate the Large Shift in Few-Shot Domain Adaptation
HCLR: A hybrid clustering and low-rank regularization-based method for photon-limited image restoration
HDR video synthesis by a nonlocal regularization variational model
Heat Equations on Vector Bundles: Application to Color Image regularization
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined regularization
Hessian Schatten-Norm regularization for Linear Inverse Problems
Hessian-Based Norm regularization for Image Restoration With Biomedical Applications
HIER: Metric Learning Beyond Class Labels via Hierarchical regularization
Hierarchical disparity estimation with energy-based regularization
Hierarchical regularization of Building Boundaries in Noisy Aerial Laser Scanning and Photogrammetric Point Clouds
Hierarchical regularization of Polygons for Photogrammetric Point Clouds of Oblique Images
Hierarchical Semantic regularization of Latent Spaces in StyleGANs
High dynamic range compression by half quadratic regularization
High-order regularization for stereo color editing
High-Order Tensor regularization with Application to Attribute Ranking
High-quality image interpolation via local autoregressive and nonlocal 3-D sparse regularization
High-quality Image Restoration Using Low-Rank Patch regularization and Global Structure Sparsity
High-quality non-blind image deconvolution with adaptive regularization
Higher Degree Total Variation (HDTV) regularization for Image Recovery
Higher-Order Feature-Preserving Geometric regularization
Higher-order regularization and morphological techniques for image segmentation
Ho-Kashyap classifier with early stopping for regularization
How Does Lipschitz regularization Influence GAN Training?
How to Estimate the regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?
HRST-LR: A Hessian regularization Spatio-Temporal Low Rank Algorithm for Traffic Data Imputation
Human Action Recognition with Attribute regularization
Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm regularization
Human motion estimation from monocular image sequence based on cross-entropy regularization
Hybrid regularization image deblurring in the presence of impulsive noise
Hybrid regularization of Diffusion Process for Visual Re-Ranking
Hybrid regularizations for Multi-Aspect Category Sentiment Analysis
Hybrid Truncated Norm regularization Method for Matrix Completion, A
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive regularization
Hypergraph p-Laplacian regularization for Remotely Sensed Image Recognition
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive regularization
Hyperspectral Anomaly Detection Based on Improved RPCA with Non-Convex regularization
Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN regularization
Hyperspectral Image Denoising Based on Nonlocal Low-Rank and TV regularization
Hyperspectral Image Denoising via Matrix Factorization and Deep Prior regularization
Hyperspectral Image Denoising With Total Variation regularization and Nonlocal Low-Rank Tensor Decomposition
Hyperspectral Image Recovery Using Nonconvex Sparsity and Low-Rank regularizations
Hyperspectral Image Recovery via Hybrid regularization
Hyperspectral Image Restoration by Tensor Fibered Rank Constrained Optimization and Plug-and-Play regularization
Hyperspectral Image Super-Resolution via Deep Prior regularization With Parameter Estimation
Hyperspectral Image Super-Resolution via Nonlocal Low-Rank Tensor Approximation and Total Variation regularization
Hyperspectral Image Super-Resolution via Recurrent Feedback Embedding and Spatial-Spectral Consistency regularization
Hyperspectral Image Super-Resolution via Subspace-Based Low Tensor Multi-Rank regularization
Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial regularization
Hyperspectral Super-Resolution Via Joint regularization of Low-Rank Tensor Decomposition
Hyperspectral Unmixing With L_q regularization
Hyperspherical Consistency regularization
Identification of Gene Regulatory Pathways: A regularization Method
IIR filtering of surface meshes for the regularization of deformable models
Ill-Posed Problems and regularization Analysis in Early Vision
Illumination-Invariance Optical Flow Estimation Using Weighted regularization Transform
Image Analysis for Video Surveillance Based on Spatial regularization of a Statistical Model-Based Change Detection
Image and video spatial super-resolution via bandlet-based sparsity regularization and structure tensor
Image compressive sensing via hybrid regularization combining centralized group sparse representation and deep denoiser prior
Image compressive sensing via Truncated Schatten-p Norm regularization
Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive regularization
Image Dehazing Using Quadtree Decomposition and Entropy-Based Contextual regularization
Image denoising method based on variable exponential fractional-integer-order total variation and tight frame sparse regularization
Image Denoising via Bandwise Adaptive Modeling and regularization Exploiting Nonlocal Similarity
Image Denoising via Low Rank regularization Exploiting Intra and Inter Patch Correlation
Image fusion via sparse regularization with non-convex penalties
Image Reconstruction with Component regularization Based on Bregman Iteration
Image reconstruction with locally adaptive sparsity and nonlocal robust regularization
Image Recovery via Diffusion Tensor and Time-Delay regularization
Image Reflection Removal via Contextual Feature Fusion Pyramid and Task-Driven regularization
Image regularization with multiple morphological gradient priors
Image regularizations Based on the Sparsity of Corner Points
Image Restoration Based on Bi-regularization and Split Bregman Iterations
Image Restoration Based on Generalized Finite Automata Encoded Edge Preserving regularization
Image Restoration by Combined Order regularization With Optimal Spatial Adaptation
Image restoration through regularization based on error energy minimization
Image Restoration Using Dual Adaptive regularization Operators
Image Restoration: An Edge Detection Based regularization
Image Smoothing and Segmentation by Graph regularization
Image Super-Resolution Reconstruction via L1_2 and S1_2 regularizations
Image Super-Resolution Via Non-Local Steering Kernel Regression regularization
Image up-sampling using total-variation regularization with a new observation model
Impedance Imaging With First-Order TV regularization
Implicit Geometric regularization of 3D Building Shape Using Airborne LIDAR Data, An
Implicit regularization For 3d Building Rooftop Modeling Using Airborne Lidar Data, An
Improved kernelized correlation filter tracking by using spatial regularization
Improved Particle Swarm Optimization Based on Total Variation regularization and Projection Constraint with Applications in Ground-Penetrating Radar Inversion: A Model Simulation Study, An
improved regularization method for artifact rejection in image super-resolution, An
Improved Total Variation-Type regularization Using Higher Order Edge Detectors
Improving Acquisition Speed of X-Ray Ptychography Through Spatial Undersampling and regularization
Improving DNN Robustness to Adversarial Attacks Using Jacobian regularization
Improving GANs for Long-Tailed Data Through Group Spectral regularization
Improving Generalization of Meta-Learning with Inverted regularization at Inner-Level
Improving Low-Precision Network Quantization via Bin regularization
Improving Test-Time Adaptation Via Shift-Agnostic Weight regularization and Nearest Source Prototypes
Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization
Improving the Spatial Solution of Electrocardiographic Imaging: A New regularization Parameter Choice Technique for the Tikhonov Method
Impulse noise removal by spectral clustering and regularization on graphs
In Vivo Impedance Imaging With Total Variation regularization
Including Spatial Information in Nonlinear Inversion MR Elastography Using Soft Prior regularization
Incorporating Anatomical Side Information Into PET Reconstruction Using Nonlocal regularization
Incorporating structural prior for depth regularization in shape from focus
Increased Robustness in Chest X-Ray Classification Through Clinical Report-Driven regularization
incremental regularization of 3d building models for continuous building database update, An
Infimal convolution type regularization of TGV and shearlet transform for image restoration
influence of the noise in the restoration of solar radio images using adaptive regularization techniques based on clustering, The
Information theoretic regularization in diffuse optical tomography
Information-theoretic regularization for Multi-source Domain Adaptation
Informed Spatial regularizations For Fast Fusion Of Astronomical Images
Infrared dim target detection based on total variation regularization and principal component pursuit
Infrared Small Target Detection via Low-Rank Tensor Completion With Top-Hat regularization
Inhomogeneous Multi-resolution regularization Concept for Discontinuity Preserving Image Registration, An
Inpainting for Fringe Projection Profilometry Based on Geometrically Guided Iterative regularization
InSAR Image regularization and DEM Error Correction With Fractal Surface Scattering Model
Intensity-Aware Single-Image Deraining With Semantic and Color regularization
Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold regularization
Interframe Motion Deblurring using Spatio-Temporal regularization
Interpolation-based nonrigid deformation estimation under manifold regularization constraint
Interpretation of regularization by Denoising and Its Application with the Back-Projected Fidelity Term, An
Introducing Spatial regularization in SAR Tomography Reconstruction
Invariant Feature regularization for Fair Face Recognition
Inverse halftoning with nonlocal regularization
Inverse problem regularization with hierarchical variational autoencoders
Inverse Scale Spaces for Nonlinear regularization
IR-SSL: Improved regularization Based Semi-Supervised Learning for Land Cover Classification
Isotonic Modeling with Non-Differentiable Loss Functions with Application to Lasso regularization
Isotropic Energies, Filters and Splines for Vector Field regularization
Isotropic regularization
Isotropic Total Variation regularization of Displacements in Parametric Image Registration
ISP-IRLNet: Joint optimization of interpretable sampler and implicit regularization learning network for accerlerated MRI
Iterative illumination correction with implicit regularization
Iterative Image Restoration using a Non-Local regularization Function and a Local Regularization Operator
Iterative Image Restoration using a Non-Local regularization Function and a Local Regularization Operator
Iterative Joint Ptychography-Tomography with Total Variation regularization
iterative method for maximum entropy regularization reconstruction in MRI, An
Iterative regularization and Nonlinear Inverse Scale Space Applied to Wavelet-Based Denoising
Iterative regularization via Dual Diagonal Descent
Iterative Threshold Algorithm of Log-Sum regularization for Sparse Problem, An
Iterative Total Variation regularization with Non-Quadratic Fidelity
Jacobian norm with Selective Input Gradient regularization for interpretable adversarial defense
Joint Demosaicking / Rectification Of Fisheye Camera Images Using Multi-Color Graph Laplacian regularization
Joint Feature Selection and Graph regularization for Modality-Dependent Cross-Modal Retrieval
Joint image denoising with gradient direction and edge-preserving regularization
Joint Reconstruction and Calibration Using regularization by Denoising with Application to Computed Tomography
Joint regularization of Phase and Amplitude of InSAR Data: Application to 3-D Reconstruction
Joint Segmentation and Shape regularization With a Generalized Forward-Backward Algorithm
Joint Sparse and Low-Rank Multitask Learning with Laplacian-Like regularization for Hyperspectral Classification
Joint Spatial and Spectral Low-Rank regularization for Hyperspectral Image Denoising
Junction-Aware Extraction and regularization of Urban Road Networks in High-Resolution SAR Images
K-Space Based regularization of a New Pulse-Echo Image Reconstruction Operator
Kernel Cuts: Kernel and Spectral Clustering Meet regularization
Kernel regularization for Image Restoration
Kernel-Based Face Hallucination via Dual regularization Priors
Kernel-Based Implicit regularization of Structured Objects
Kernels, regularization and differential equations
Kinect Depth Inpainting via Graph Laplacian with TV21 regularization
Kinect depth restoration via energy minimization with TV21 regularization
KRMARO: Aerial Detection of Small-Size Ground Moving Objects Using Kinematic regularization and Matrix Rank Optimization
L(1/2) regularization for ISAR Imaging and Target Enhancement of Complex Image
L0-L1 Hybrid Total Variation regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing
L0-regularization-based skeleton optimization from consecutive point sets of kinetic human body
L1 minimization algorithm for non-smooth regularization in image processing, An
L1-norm-based principal component analysis with adaptive regularization
L1/2,1 group sparse regularization for compressive sensing
Label Efficient regularization and Propagation for Graph Node Classification
Landmark regularization: Ranking Guided Super-Net Training in Neural Architecture Search
Landslide Deformation Extraction from Terrestrial Laser Scanning Data with Weighted Least Squares regularization Iteration Solution
Laplacian Derivative Based regularization for Optical Flow Estimation in Driving Scenario
Large-scale image classification with trace-norm regularization
LASSO (L1) regularization for Development of Sparse Remote-Sensing Models with Applications in Optically Complex Waters Using GEE Tools
Latent Low-Rank Projection Learning with Graph regularization for Feature Extraction of Hyperspectral Images
Latent Space regularization for Unsupervised Domain Adaptation in Semantic Segmentation
Lautum regularization for Semi-Supervised Transfer Learning
LBP-Structure Optimization With Symmetry and Uniformity regularizations for Scene Classification
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance regularization
Learnable contextual regularization for semantic segmentation of indoor scene images
Learning Adaptive regularization for Image Labeling Using Geometric Assignment
Learning Adversarially Robust Object Detector with Consistency regularization in Remote Sensing Images
Learning Class-to-Image Distance via Large Margin and L1-Norm regularization
Learning Cross-Media Joint Representation With Sparse and Semisupervised regularization
Learning Discriminative Chamfer regularization
Learning Dynamic Spatial-Temporal regularization for UAV Object Tracking
Learning Generic Feature Representations with Adversarial regularization for Person Re-Identification
Learning Geometry-Aware Kernels in a regularization Framework
Learning Hierarchical Semantic Description Via Mixed-Norm regularization for Image Understanding
Learning image Vicept description via mixed-norm regularization for large scale semantic image search
Learning kernels from labels with ideal regularization
Learning Local regularization for Variational Image Restoration
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality regularization and Singular Value Sparsification
Learning Multi-Graph regularization for SVM Classification
Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive regularization: Toward a Unified Model
Learning regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling
Learning reliable-spatial and spatial-variation regularization correlation filters for visual tracking
Learning Shape Primitives via Implicit Convexity regularization
Learning Sparse Neural Networks Through Mixture-Distributed regularization
Learning Spatial regularization with Image-Level Supervisions for Multi-label Image Classification
Learning the Structure of Deep Architectures Using L1 regularization
Learning to Learn with Smooth regularization
Learning with few examples for binary and multiclass classification using regularization of randomized trees
Learning with Noisy Labels via Sparse regularization
Learning-based Image Registration with Meta-regularization
Learning-Based regularization for Cardiac Strain Analysis via Domain Adaptation
Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization
Level set estimation from compressive measurements using box constrained total variation regularization
Level Set regularization Using Geometric Flows
Level-set formulation based on Otsu method with morphological regularization
Lic-Based regularization of Multi-Valued Images
Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency regularization
Light Field Super-Resolution Using Edge-Preserved Graph-Based regularization
Lightweight Optical Flow CNN: Revisiting Data Fidelity and regularization, A
Linear classifier combination and selection using group sparse regularization and hinge loss
linear predictor as a regularization function in adaptive image restoration and reconstruction, A
Linearized proximal alternating minimization algorithm for motion deblurring by nonlocal regularization
Little Engine That Could: regularization by Denoising (RED), The
LLP norm regularization based group sparse representation for image compressed sensing recovery
Local Adaptivity to Variable Smoothness for Exemplar-Based Image regularization and Representation
Local and Nonlocal Discrete regularization on Weighted Graphs for Image and Mesh Processing
Local high-order regularization on data manifolds
Local Kernels That Approximate Bayesian regularization and Proximal Operators
Local Refinement for Stereo regularization
Local regularization for Multiclass Classification Facing Significant Intraclass Variations
Local Relationship Learning With Person-Specific Shape regularization for Facial Action Unit Detection
Local Smoothness Enforced Cost Volume regularization for Fast Stereo Correspondence
LocalDrop: A Hybrid regularization for Deep Neural Networks
Locality regularization Embedding for face verification
Locality-sensitive support vector machine by exploring local correlation and global regularization
Locally Adaptive regularization Based on Anisotropic Diffusion for Deformable Image Registration of Sliding Organs, A
Locally Adaptive Total Variation regularization
Locally Linear Regression Model for Boundary Preserving regularization in Stereo Matching, A
Logarithmic total variation regularization for cross-validation in photon-limited imaging
Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose regularization
Low Light Image Denoising Based on Poisson Noise Model and Weighted TV regularization
Low Rank Priors for Color Image regularization
Low rank regularization exploiting intra and inter patch correlation for image denoising
Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity regularization
Low-rank and sparse matrix decomposition based on S1/2 and L1/2 regularizations in dynamic MRI
Low-Rank Decomposition and Total Variation regularization of Hyperspectral Video Sequences
Low-Rank Matrix Approximation with Manifold regularization
Low-Rank Tensor Completion by Truncated Nuclear Norm regularization
Low-rank tensor recovery via non-convex regularization, structured factorization and spatio-temporal characteristics
LRTV: MR Image Super-Resolution With Low-Rank and Total Variation regularizations
LSRML: A latent space regularization based meta-learning framework for MR image segmentation
L_1 -regularization-Based SAR Imaging and CFAR Detection via Complex Approximated Message Passing
L_1 regularization in Two-Layer Neural Networks
L_1-Norm regularization for Short-and-Sparse Blind Deconvolution: Point Source Separability and Region Selection
M-estimators for robust multidimensional scaling employing L2,1 norm regularization
Machine-learned regularization and Polygonization of Building Segmentation Masks
Magnetic resonance imaging reconstruction via non-convex total variation regularization
Majorize-Minimize Subspace Approach for L_2-L_0 Image regularization, A
Marine Biodiversity Classification Using Dropout regularization
Markovian regularization of latent-variable-models mixture for New multi-component image reduction/segmentation scheme
Mask-Embedded Discriminator with Region-based Semantic regularization for Semi-Supervised Class-Conditional Image Synthesis
Masked Face Recognition via Self-Attention Based Local Consistency regularization
Matrix completion by Truncated Nuclear Norm regularization
Matrix Tri-Factorization with Manifold regularizations for Zero-Shot Learning
Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning
Max-Margin regularization for Reducing Accidentalness in Chamfer Matching
MaxDropout: Deep Neural Network regularization Based on Maximum Output Values
Maximum Likelihood Estimation of regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach Part I: Methodology and Experiments
Maximum Likelihood Estimation of regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis
Maximum Likelihood Estimator for Choosing the regularization Parameters in Global Optical Flow Methods, A
Mean Curvature Is a Good regularization for Image Processing
Memory Gradient algorithm for L2-L0 regularization with applications to image restoration, A
MeshStereo: A Global Stereo Model with Mesh Alignment regularization for View Interpolation
MetaMix: Improved Meta-Learning with Interpolation-based Consistency regularization
Method for Choosing the regularization Parameter in Generalized Tikhonov Regularized Linear Inverse Problems, A
Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation
Metric learning with trace-norm regularization for person re-identification
Metric-Based regularization and Temporal Ensemble for Multi-Task Learning using Heterogeneous Unsupervised Tasks
Microwave Imaging: Reconstructions from Experimental-Data Using Conjugate-Gradient and Enhancement by Edge-Preserving regularization
Minimization of a Detail-Preserving regularization Functional for Impulse Noise Removal
Minimization of Detail-preserving regularization Functional by Newton's Method with Continuation
Minimum entropy regularization in frequency-wavenumber migration to localize subsurface objects
Missing Surface Estimation Based on Modified Tikhonov regularization: Application for Destructed Dental Tissue
Mixed Noise Removal by Weighted Encoding With Sparse Nonlocal regularization
Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank regularization
Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data
MMANet: Margin-Aware Distillation and Modality-Aware regularization for Incomplete Multimodal Learning
Modified total variation regularization using fuzzy complement for image denoising
Modout: Learning Multi-Modal Architectures by Stochastic regularization
Monotonically Convergent regularization by Denoising
Monte-Carlo Sure: A Black-Box Optimization of regularization Parameters for General Denoising Algorithms
Morphologic gain-controlled regularization for edge-preserving super-resolution image reconstruction
Morphological regularization neural networks
Motion Capture Data Completion via Truncated Nuclear Norm regularization
Motion Competition: Variational Integration of Motion Segmentation and Shape regularization
Motion Detection Robust to Perturbations: A Statistical regularization and Temporal Integration Framework
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale regularization
Motion Estimation with Adaptive regularization and Neighborhood Dependent Constraint
Motion estimation with non-local total variation regularization
Motion Part regularization: Improving action recognition via trajectory group selection
Motion regularization for Matting Motion Blurred Objects
Motion regularization for Model-Based Head Tracking
Moving in the Right Direction: A regularization for Deep Metric Learning
Moving object detection by low rank approximation and L1-TV regularization on RPCA framework
Multi-agent Approach for Range Image Segmentation with Bayesian Edge regularization, A
Multi-class semi-supervised SVMs with Positiveness Exclusive regularization
Multi-Domain regularization Based Computed Tomography for High-Speed Rotation Objects
Multi-Exponential Transverse Relaxation Times Estimation From Magnetic Resonance Images Under Rician Noise and Spatial regularization
Multi-frame co-saliency spatio-temporal regularization correlation filters for object tracking
Multi-Graph Matching via Affinity Optimization with Graduated Consistency regularization
Multi-Kernel Supervised Hashing with Graph regularization for Cross-Modal Retrieval
Multi-label feature selection via manifold regularization and dependence maximization
Multi-label feature selection via robust flexible sparse regularization
Multi-layer strategy and reconstruction model with low rank and local rank regularizations for single image super-resolution
Multi-Local-Task Learning with Global regularization for Object Tracking
Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold regularization: Application to Schizophrenia Study
Multi-modal subspace learning with dropout regularization for cross-modal recognition and retrieval
Multi-modal Subspace Learning with Joint Graph regularization for Cross-Modal Retrieval
Multi-Parameter regularization Method for Synthetic Aperture Imaging Radiometers
Multi-Scale Tikhonov regularization Scheme for Implicit Surface Modelling, A
Multi-scale Total Variation with Automated regularization Parameter Selection for Color Image Restoration
Multi-View Feature Selection for PolSAR Image Classification via L_2,1 Sparsity regularization and Manifold Regularization
Multi-View Feature Selection for PolSAR Image Classification via L_2,1 Sparsity regularization and Manifold Regularization
Multiframe Super-Resolution Reconstruction Using Sparse Directional regularization
Multilabel Text Classification With Incomplete Labels: A Safe Generative Model With Label Manifold regularization and Confidence Constraint
Multilinear Graph Embedding: Representation and regularization for Images
Multilinear Model Estimation with L2-regularization
Multipath Error Reduction Method for BDS Using Tikhonov regularization with Parameter Optimization, A
Multiphase Soft Segmentation with Total Variation and H1 regularization
Multiple Cost Functions and regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL Model
Multiple degree total variation (MDTV) regularization for image restoration
Multiplicative Noise Removal With Spatially Varying regularization Parameters
Multiplicative regularization Approach for Deblurring Problems, A
Multiresolution-based weighted regularization for denoised image interpolation from scattered samples with application to confocal microscopy
Multiresolutional regularization of local linear regression over adaptive neighborhoods for color management
Multiscale CNN With Autoencoder regularization Joint Contextual Attention Network for SAR Image Classification
Multiscale Full-Waveform Dual-Parameter Inversion Based on Total Variation regularization to On-Ground GPR Data
Multiscale Structure Tensor for Improved Feature Extraction and Image regularization
Multispectral Images Denoising by Intrinsic Tensor Sparsity regularization
Multiview Hessian regularization for Image Annotation
Mumford-Shah and Potts regularization for Manifold-Valued Data
Mutual Information regularization for Weakly-Supervised RGB-D Salient Object Detection
NAPReg: Nouns As Proxies regularization for Semantically Aware Cross-Modal Embeddings
nD Variational Restoration of Curvilinear Structures With Prior-Based Directional regularization
Near real time enhancement of geospatial imagery via systolic implementation of neural network-adapted convex regularization techniques
Near-Infrared Fusion via Color regularization for Haze and Color Distortion Removals
Near-optimal regularization parameters for applications in computer vision
Neighborhood Region Smoothing regularization for Finding Flat Minima in Deep Neural Networks
net4Lap: Neural Laplacian regularization for Ranking and Re-Ranking
Network of Networks Processing Model for Image regularization, A
Neural network-based image restoration using scaled residual with space-variant regularization
Neuron Segmentation Based on CNN with Semi-Supervised regularization
NEV-NCD: Negative Learning, Entropy, and Variance regularization Based Novel Action Categories Discovery
New Detail-Preserving regularization Scheme, A
New Dynamic Stochastic Source Encoding Combined With a Minmax-Concave Total Variation regularization Strategy for Full Waveform Inversion
New Fast Accurate Nonlinear Medical Image Registration Program Including Surface Preserving regularization, A
new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data, A
New Method of Image Reconstruction for PET Using a Combined regularization Algorithm, A
new PDE-based approach for singularity-preserving regularization: application to degraded characters restoration, A
New regularization for Retinex Decomposition of Low-Light Images, A
NMF with Sparse regularizations in Transformed Domains
No Data Augmentation? Alternative regularizations for Effective Training on Small Datasets
Noise histogram regularization for iterative image reconstruction algorithms
Noise reduction in PET sinograms using non-local total variation regularization
Noise removal from MR images via iterative regularization based on higher-order singular value decomposition
Noisy iris segmentation with boundary regularization and reflections removal
Non-blind image deconvolution using a regularization based on re-blurring process
Non-Cartesian MRI Reconstruction With Automatic regularization Via Monte-Carlo SURE
Non-convex Rank/Sparsity regularization and Local Minima
Non-convex Total Variation regularization for Convex Denoising of Signals
Non-isotropic regularization of the correspondence space in stereo-vision
Non-isotropy regularization for Proxy-based Deep Metric Learning
Non-Lipschitz L_p-regularization and Box Constrained Model for Image Restoration
Non-Local Block With Adaptive regularization Strategy, A
Non-Local Patch-Based regularization for Image Restoration
Non-local regularization of Inverse Problems
non-local regularization strategy for image deconvolution, A
Non-Local Texture Optimization With Wasserstein regularization Under Convolutional Neural Network
Non-Negative Temporal Decomposition regularization With an Augmented Lagrangian
Non-negative Tucker decomposition with graph regularization and smooth constraint for clustering
non-regularization self-supervised Retinex approach to low-light image enhancement with parameterized illumination estimation, A
non-rigid image registration method based on multi-level B-spline and L2-regularization, A
Non-uniform motion deblurring with Kernel grid regularization
Nonconvex higher-order regularization based Rician noise removal with spatially adaptive parameters
nonconvex nonsmooth regularization method with structure tensor total variation, A
Nonconvex regularization for Network Slimming: Compressing CNNS Even More
Nonconvex regularization for Shape Preservation
Nonconvex regularization in Remote Sensing
Nonconvex TVq-Models in Image Restoration: Analysis and a Trust-Region regularization-Based Superlinearly Convergent Solver
Noninvasive electrocardiographic imaging with low-rank and non-local total variation regularization
Nonlinear Estimation of Material Abundances in Hyperspectral Images With L_1-Norm Spatial regularization
Nonlinear image processing: modeling and fast algorithm for regularization with edge detection
Nonlinear image recovery with half-quadratic regularization
Nonlinear Orthogonal NMF on the Stiefel Manifold With Graph-Based Total Variation regularization
Nonlinear regularization for Per Voxel Estimation of Magnetic Susceptibility Distributions From MRI Field Maps
Nonlinear regularization Using Constrained Edges in Image Reconstruction
nonlinear variation regularization algorithm for the magnetic resonance electrical impedance tomography, The
Nonlocal Discrete regularization on Weighted Graphs: A Framework for Image and Manifold Processing
Nonlocal Gradient Sparsity regularization for Image Restoration
Nonlocal graph regularization for image colorization
Nonlocal regularization of Inverse Problems: A Unified Variational Framework
Nonlocal Sparse and Low-Rank regularization for Optical Flow Estimation
Nonlocal Tensor Sparse Representation and Low-Rank regularization for Hyperspectral Image Compressive Sensing Reconstruction
Nonnegative matrix factorization with bounded total variational regularization for face recognition
Nonparametric Structure regularization Machine for 2D Hand Pose Estimation
Norm Loss: An efficient yet effective regularization method for deep neural networks
novel approach for bias mitigation of gender classification algorithms using consistency regularization, A
novel companion objective function for regularization of deep convolutional neural networks, A
novel denoising algorithm for medical images based on the non-convex non-local similar adaptive regularization, A
Novel Inpainting Algorithm for Recovering Landsat-7 ETM+ SLC-OFF Images Based on the Low-Rank Approximate regularization Method of Dictionary Learning With Nonlocal and Nonconvex Models, A
Novel Iterative Shrinkage Algorithm for CS-MRI via Adaptive regularization, A
novel multi-focus image fusion method based on joint regularization optimization layering and sparse representation, A
Novel Pooling Method for regularization of Deep Neural networks, A
Novel regularization Technique for Microendoscopic Electrical Impedance Tomography, A
Novel View Synthesis Using Locally Adaptive Depth regularization
Object Tracking via 2DPCA and L_1 -regularization
Ocular multi-spectral imaging deblurring via regularization of mutual information
Off-the-Grid Curve Reconstruction through Divergence regularization: An Extreme Point Result
OICSR: Out-In-Channel Sparsity regularization for Compact Deep Neural Networks
On Connections Between regularizations for Improving DNN Robustness
On Covariant Derivatives and Their Applications to Image regularization
On Div-Curl regularization for Motion Estimation in 3D Volumetric Imaging
On group-wise regularization: Theory and efficient algorithms
On Iterative regularization and Its Application
On Plug-and-Play regularization Using Linear Denoisers
On reconstruction of non-rigid shapes with intrinsic regularization
On regularization parameter estimation under covariate shift
On regularization, Formulation, and Initialization of the Active contour models (Snakes)
On Solving SAR Imaging Inverse Problems Using Nonconvex regularization With a Cauchy-Based Penalty
On Some Bayesian/regularization Methods for Image Restoration
On the Complexity of Mumford-Shah-Type regularization, Viewed as a Relaxed Sparsity Constraint
On the Expected Likelihood Approach for Assessment of regularization Covariance Matrix
On the Implementation of Collaborative TV regularization: Application to Cartoon+Texture Decomposition
On the Incorporation of Time-delay regularization into Curvature-Based Diffusion
On the Length and Area regularization for Multiphase Level Set Segmentation
On the regularization of image semantics by modal expansion
On the regularization path of the support vector domain description
On the regularization Properties of Structured Dropout
On Theory and regularization of Scale-Limited Extrapolation
On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-temporal regularization
One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic regularization
One-Dimensional regularization with Discontinuities
Online regularization by Denoising with Applications to Phase Retrieval
Operational rate-distortion shape coding with dual error regularization
Optic flow based on multi-scale anchor point movement and discontinuity-preserving regularization
Optical Flow Estimation Based on the Frequency-Domain regularization
Optical flow estimation with p-harmonic regularization
Optimal Choice of regularization Parameter in Image Denoising
Optimal Estiamtion of Contour Properties by Cross-Validated regularization
Optimal Feature Selection for Robust Classification via L2,1-Norms regularization
optimal motion vector regularization method using variance-distortion curve, An
Optimal regularization Parameter Estimation for Spectral Regression Discriminant Analysis
Optimal Selection of the regularization Function in a Weighted Total Variation Model. Part I: Modelling and Theory
Optimal Selection of the regularization Function in a Weighted Total Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests
Optimal space-varying regularization in iterative image restoration
Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation regularization
Optimization and regularization of complex task decomposition for blind removal of multi-factor degradation
Optimization model for multiplicative noise and blur removal based on Gaussian curvature regularization
Optimization of regularization parameter for sparse reconstruction based on predictive risk estimate
Optimization of RFM Problem Using Linearly Programed L1-regularization
Order-preserving Consistency regularization for Domain Adaptation and Generalization
Orientation Invariant Feature Embedding and Spatial Temporal regularization for Vehicle Re-identification
Oriented total variation /1/2 regularization
Ortho-Shot: Low Displacement Rank regularization with Data Augmentation for Few-Shot Learning
Orthogonal Jacobian regularization for Unsupervised Disentanglement in Image Generation
Orthonormal Vector Sets regularization with PDE's and Applications
overview of inverse problem regularization using sparsity, An
p-Laplacian regularization for Scene Recognition
p-Laplacian regularization of Signals on Directed Graphs
P-P and Dynamic Time Warped P-SV Wave AVA Joint-Inversion With l1-2 regularization
P2 Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual regularization and Cross Knowledge Distillation
Parallel mesh regularization and resampling algorithm for improved mesh registration
Parallel Proximal Algorithm for Image Restoration Using Hybrid regularization
Parameterless Discrete regularization on Graphs for Color Image Filtering
Part level transfer regularization for enhancing exemplar SVMs
Partial Enumeration and Curvature regularization
PartMix: regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-Identification
Patch Ordering as a regularization for Inverse Problems in Image Processing
PDR: Progressive Depth regularization for Monocular 3D Object Detection
PDRLRR: A novel low-rank representation with projection distance regularization via manifold optimization for clustering
Penalization-regularization-Operator Splitting Method for Eikonal Based Traveltime Tomography, A
Penalized discriminant analysis of 15-O-water PET brain images with prediction error selection of smoothness and regularization hyperparameters
Penalized Likelihood PET Image Reconstruction Using Patch-Based Edge-Preserving regularization
Penalized Modified Huber regularization to Improve Adversarial Robustness, A
Perception and Semantic Aware regularization for Sequential Confidence Calibration
Perceptual Evaluation of the Mean Square Error Choice of regularization Parameter
Perceptual regularization functionals for natural image restoration
Performance comparison of iterative reweighting methods for total variation regularization
Performance Evaluation of ELM with A-optimized Design regularization For Remote Sensing Imagery Classification
Performance of reconstruction-based super-resolution with regularization
Performance Study of a regularization-Based Deformable Handwritten Recognition Approach
Periocular Recognition in the Wild With Generalized Label Smoothing regularization
Person Re-identification Based on Relaxed Nonnegative Matrix Factorization with regularizations
PET regularization by envelope guided conjugate gradients
PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame regularization
Phase Field Variational Model with Arctangent regularization for Saliency Detection, A
Phase retrieval via spatial light modulator phase modulation in 4f optical setup: numerical inverse imaging with sparse regularization for phase and amplitude
Physics of MRF regularization for segmentation of materials microstructure images
Plug-And-Pipeline: Efficient regularization for Single-Step Adversarial Training
Plug-and-Play Image Reconstruction Is a Convergent regularization Method
Plug-and-Play regularization Using Linear Solvers
PM-Huber: PatchMatch with Huber regularization for Stereo Matching
Point Cloud Denoising via Feature Graph Laplacian regularization
Point Cloud Feature regularization Method by Fusing Judge Criterion of Field Force, A
Pointing Gesture Recognition via Self-supervised regularization for ASD Screening
Poisson Image Reconstruction With Hessian Schatten-Norm regularization
Poisson image reconstruction with total variation regularization
Poisson statistic and half-quadratic regularization for emission tomography reconstruction algorithm
Polyakov Action on (rho,G)-Equivariant Functions Application to Color Image regularization
Polygonal mesh regularization for subdivision surfaces interpolating meshes of curves
Pose-Free Neural Radiance Fields via Implicit Pose regularization
Power-Constrained Image Contrast Enhancement Through Sparse Representation by Joint Mixed-Norm regularization
Practical Pose Trajectory Splines With Explicit regularization
practical use of regularization for supervised learning with kernel methods, A
Prediction of eigenvalues and regularization of eigenfeatures for human face verification
Preservation of Piecewise Constancy under TV regularization with Rectilinear Anisotropy
Prestack Seismic Inversion With Data-Driven MRF-Based regularization
Primal-Dual Optimization Strategy With Total Variation regularization for Prestack Seismic Image Deblurring
Probabilistic Analysis of regularization
Probabilistic regularization in inverse optical imaging
Processing Fine Digital Terrain Models by Markovian regularization from 3D Airborne Lidar Data
Progressive Image Denoising Through Hybrid Graph Laplacian regularization: A Unified Framework
Progressive Learning With Anchoring regularization for Vehicle Re-Identification
Progressive Probabilistic Graph Matching with Local Consistency regularization
Progressive Unsupervised Person Re-Identification by Tracklet Association With Spatio-Temporal regularization
projected gradient algorithm for image restoration under Hessian matrix-norm regularization, A
Projective image restoration using sparsity regularization
QR Code Style Transfer Method Based on Conditional Instance regularization
Quadratic regularization Design for 2-D CT
Quaternion-Based Dictionary Learning and Saturation-Value Total Variation regularization for Color Image Restoration
Quintuple-Media Joint Correlation Learning With Deep Compression and regularization
Radial Basis Function Networks and Complexity regularization in Function Learning and Classification
Radial Basis Function Networks and Nonparametric Classification: Complexity regularization and the Rates of Convergence
Rain Streaks Removal for Single Image Via Directional Total Variation regularization
random-valued impulse noise removal algorithm with local deviation index and edge-preserving regularization, A
Rank-1 Tensor Decomposition for Hyperspectral Image Denoising with Nonlocal Low-Rank regularization
RankBoost with L1 regularization for facial expression recognition and intensity estimation
Ranking regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Real Aperture Radar Angular Super-Resolution Imaging Using Modified Smoothed L0 Norm with a regularization Strategy
Real-time visual tracking using L2 norm regularization based collaborative representation
Recognition of Handwritten Chinese Characters by Combining regularization, Fisher's Discriminant and Distorted Sample Generation
Recognition of Line Shapes Based on Thinning, Segmentation with Good Connectivity Algorithms, and regularization
Reconstructing Surfaces by Volumetric regularization Using Radial Basis Functions
Reconstruction of Connected Digital Lines Based on Constrained regularization
Reconstruction of irregularly-sampled images by regularization in spline spaces
Reconstruction of lines and planes of urban buildings with angle regularization
Reconstruction of multiple overlapping surfaces via standard regularization techniques
Recovering thin structures via nonlocal-means regularization with application to depth from defocus
Recursive regularization Filters: Design, Properties, and Applications
Recursive Soft-decision Psf and Neural Network Approach to Adaptive Blind Image regularization, A
RED-PSM: regularization by Denoising of Partially Separable Models for Dynamic Imaging
Refitting Solutions Promoted by L12 Sparse Analysis regularizations with Block Penalties
Reflection Angle-Domain Pseudoextended Least-Squares Reverse Time Migration Using Hybrid regularization
RegGAN: An End-to-End Network for Building Footprint Generation with Boundary regularization
RegularFace: Deep Face Recognition via Exclusive regularization
regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
regularization Analysis and Design for Prior-Image-Based X-Ray CT Reconstruction
regularization and optimization in model-based clustering
regularization and Sparsity for Adversarial Robustness and Stable Attribution
regularization approach for bayer reconstruction in lossy image coding by inverse demosaicing, A
regularization Approach to Blind Deblurring and Denoising of QR Barcodes, A
regularization Approach to Joint Blur Identification and Image Restoration, A
regularization Approaches to Demosaicking
regularization by Architecture: A Deep Prior Approach for Inverse Problems
regularization by denoising sub-sampled Newton method for spectral CT multi-material decomposition
regularization by Denoising super-resolution method based on genetic algorithms, A
regularization by Denoising via Fixed-Point Projection (RED-PRO)
regularization Designs for Uniform Spatial Resolution and Noise Properties in Statistical Image Reconstruction for 3-D X-ray CT
regularization for functional MRI models
regularization for Uniform Spatial Resolution Properties in Penalized-Likelihood Image Reconstruction
regularization Framework for Joint Blur Estimation and Super-Resolution of Video Sequences, A
regularization Framework for Learning Over Multitask Graphs, A
regularization framework for multiclass classification: A deterministic annealing approach, A
regularization framework for robust dimensionality reduction with applications to image reconstruction and feature extraction, A
regularization framework for stereo matching using IGMRF prior and sparseness learned from autoencoder, A
regularization in Image Non-Rigid Registration: I. Trade-off between Smoothness and Intensity Similarity
regularization in metric learning for person re-identification
regularization in parallel magnetic resonance imaging
regularization in tomographic reconstruction using thresholding estimators
regularization Method
regularization method for unfolding the measured data of different X-ray spectrometers in Compton scattering tomography, A
regularization Methods in Image Restoration: An Application to HST Images
regularization Methods in Non-Rigid Registration: II. Isotropic Energies, Filters and Splines
regularization Model for Stereo Vision with Controlled Continuity, A
regularization of Building Roof Boundaries from Airborne LiDAR Data Using an Iterative CD-Spline
regularization of Complex SAR Images Using Markov Random Fields
regularization of deep neural networks using a novel companion objective function
regularization of diffusion tensor field using coupled robust anisotropic diffusion filters
regularization of Discontinuous Flow Fields
regularization of Discrete Contour by Willmore Energy
regularization of flow streamlines in multislice phase-contrast MR imaging
regularization of Ill-Posed Problems, The
regularization of Incompletely, Irregularly and Randomly Sampled Data
regularization of Inverse Problems in Low-Level Vision While Preserving Discontinuities
regularization of Inverse Visual Problems Involving Discontinuities
regularization of Mixture Models for Robust Principal Graph Learning
regularization of Noisy ISAR Images Containing Extended Features
regularization of Optic Flow Estimates by Means of Weighted Vector Median Filtering
regularization of ortho-normal vector sets using coupled PDE's
regularization of Phase Retrieval With Phase-Attenuation Duality Prior for 3-D Holotomography
regularization of polynomial networks for image recognition
regularization of Positive Definite Matrix Fields Based on Multiplicative Calculus
regularization of RIF Blind Image Deconvolution
regularization of the Problem of Image Restoration from its Noisy Fourier Transform Phase
regularization of transportation maps for color and contrast transfer
regularization on Discrete Spaces
regularization on Spatio-Temporally Smoothed Feature for Action Recognition
regularization Operators for Natural Images Based on Nonlinear Perception Models
regularization Parameter Estimation for Non-Negative Hyperspectral Image Deconvolution
regularization parameter estimation for spectral regression discriminant analysis based on perturbation theory
regularization Parameter Selection for Nonlinear Iterative Image Restoration and MRI Reconstruction Using GCV and SURE-Based Methods
regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing
regularization Paths for Re-Weighted Nuclear Norm Minimization
regularization Preserving Localization of Close Edges
regularization Properties of Mumford-Shah-Type Functionals with Perimeter and Norm Constraints for Linear Ill-Posed Problems
regularization Strategies for Discontinuity-Preserving Optical Flow Methods
regularization Strategy for Point Cloud via Rigidly Mixed Sample
regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition
regularization studies on LDA for face recognition
regularization Super-Resolution with Inaccurate Image Registration
regularization techniques for high-dimensional data analysis
regularization Theory and Neural Networks Architectures
regularization Theory and Practice
regularization Theory and Shape Constraints
regularization Theory in Image Restoration: The Stabilizing Functional Approach
regularization Uses Fractal Priors
regularization via Deep Generative Models: An Analysis Point of View
regularization with Latent Space Virtual Adversarial Training
regularization with Metric Double Integrals of Functions with Values in a Set of Vectors
regularization with Sparse Vector Fields: From Image Compression to TV-type Reconstruction
regularization, Scale-Space, and Edge-Detection Filters
regularization-Based 3-D Object Modeling from Multiple Range Images
regularization-Based Error Concealment in JPEG 2000 Coding Scheme
regularization: Convergence of iterative thresholding algorithm
Relations Between Higher Order TV regularization and Support Vector Regression
Relations Between regularization and Diffusion Filtering
Reliability-Driven, Spatially-Adaptive regularization for Deformable Registration
Remote Sensing Imagery and Signature Fields Reconstruction Via Aggregation of Robust regularization with Neural Computing
Representing Diffusion MRI in 5-D Simplifies regularization and Segmentation of White Matter Tracts
Residual Correlation regularization Based Image Denoising
Residual Swin Transformer Unet with Consistency regularization for Automatic Breast Ultrasound Tumor Segmentation
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization
Restoration of Poisson noise corrupted digital images with nonlinear PDE based filters along with the choice of regularization parameter estimation
Restoration of solar radio images using adaptive regularization techniques based on clustering
Restoration of speckle noise corrupted SAR images using regularization by denoising
Revisiting Consistency regularization for Semi-Supervised Learning
Revisiting Document Image Dewarping by Grid regularization
Revisiting Knowledge Distillation via Label Smoothing regularization
RFCNet: Enhancing urban segmentation using regularization, fusion, and completion
Ridgelet-Nets With Speckle Reduction regularization for SAR Image Scene Classification
Riemannian Geometry of the Space of Positive-Definite Matrices and Its Application to the regularization of Positive-Definite Matrix-Valued Data, The
Robust Bayesian Neural Networks by Spectral Expectation Bound regularization
Robust Blind Deconvolution Using Relative Total Variation as a regularization Penalty
Robust CBCT Reconstruction Based On Low-Rank Tensor Decomposition And Total Variation regularization
Robust depth regularization explicitly constrained by camera motion
Robust discriminative tracking via structured prior regularization
Robust Estimation of 3-D Motion Parameters from a Sequence of Image Frames Using regularization
Robust Face Alignment with Random Forest: Analysis of Initialization, Landmarks Regression, and Shape regularization Methods
Robust Focus Volume regularization in Shape From Focus
Robust Image Compressive Sensing Based on Truncated Cauchy Loss and Nonlocal Low-Rank regularization
Robust Infrared Small Target Detection via Jointly Sparse Constraint of l1/2-Metric and Dual-Graph regularization
robust iterative multiframe SRR based on Hampel stochastic estimation with Hampel-Tikhonov regularization, A
robust iterative super-resolution mosaicking algorithm using an adaptive and directional Huber-Markov regularization, A
Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation regularization
Robust MR image super-resolution reconstruction with cross-modal edge-preserving regularization
Robust Multi-Frame Super-Resolution Based on Spatially Weighted Half-Quadratic Estimation and Adaptive BTV regularization
Robust Multi-Image Processing with Optimal Sparse regularization
Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm regularization for Image Feature Extraction
Robust Noisy Image Super-Resolution Using l1-norm regularization and Non-local Constraint
Robust Non-rigid Motion Tracking and Surface Reconstruction Using L_0 regularization
Robust Nonlocal Low-Rank SAR Time Series Despeckling Considering Speckle Correlation by Total Variation regularization
Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules
Robust nonrigid ICP using outlier-sparsity regularization
Robust Nonrigid Point Set Registration Using Graph-Laplacian regularization
Robust PCA Using Generalized Nonconvex regularization
Robust Recovery for Graph Signal via L_0-Norm regularization
Robust regularization for the estimation of intra-voxel axon fiber orientations
Robust Single-Image Super-Resolution Based on Adaptive Edge-Preserving Smoothing regularization
Robust subspace clustering network with dual-domain regularization
Robust surface reconstruction from gradients via adaptive dictionary regularization
Robust Template-Based Non-Rigid Motion Tracking Using Local Coordinate regularization
Robust Visual Tracking based on Adversarial Unlabeled Instance Generation with Label Smoothing Loss regularization
Robustness Improvement of Hyperspectral Image Unmixing by Spatial Second-Order regularization
Robustness via Curvature regularization, and Vice Versa
Role of Retinal Bipolar Cell in Early Vision: An Implication with Analog Networks and regularization Theory, The
Rotation Invariance regularization for Remote Sensing Image Scene Classification with Convolutional Neural Networks
Rotation regularization Without Rotation
Rotation-Invariant regularization Term for Optical Flow Related Problems, A
S-VolSDF: Sparse Multi-View Stereo regularization of Neural Implicit Surfaces
S3R: Shape and Semantics-Based Selective regularization for Explainable Continual Segmentation Across Multiple Sites
Saliency regularization for Self-Training with Partial Annotations
Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization
Salt-and-pepper denoising method for colour images based on tensor low-rank prior and implicit regularization
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
Sample-based regularization for support vector machine classification
SAR Image Despeckling Based on Combination of Fractional-Order Total Variation and Nonlocal Low Rank regularization
SAR Image Despeckling Based on Nonlocal Low-Rank regularization
SAR image despeckling by combination of fractional-order total variation and nonlocal low rank regularization
SAR Image regularization With Fast Approximate Discrete Minimization
SAR Target Classification Based on Sample Spectral regularization
Satellite Video Super-Resolution Based on Adaptively Spatiotemporal Neighbors and Nonlocal Similarity regularization
Scale-Space Properties of Nonstationary Iterative regularization Methods
Scale-Space Properties of regularization Methods
Scaled rotation regularization
ScatSimCLR: Self-Supervised Contrastive Learning with Pretext Task regularization for Small-Scale Datasets
Scene Parsing via Integrated Classification Model and Variance-Based regularization
Screen-space regularization on Differentiable Rasterization
second-order extension of TV regularization for image deblurring, A
Segmentation of longitudinal brain MR images using bias correction embedded fuzzy c-means with non-locally spatio-temporal regularization
Segmentation-Based regularization Term for Image Deconvolution, A
Segmentation-Free Super-Resolved 4D flow MRI Reconstruction Exploiting Navier-Stokes Equations and Spatial regularization
Seismic Risk regularization for Urban Changes Due to Earthquakes: A Case of Study of the 2023 Turkey Earthquake Sequence
Selection of diverse features with a diverse regularization
Selection of regularization parameter in total variation image restoration
Selective Spatial regularization by Reinforcement Learned Decision Making for Object Tracking
Self-Adaptive regularization
Self-Attentive Local Aggregation Learning With Prototype Guided regularization for Point Cloud Semantic Segmentation of High-Speed Railways
Self-Distillation from the Last Mini-Batch for Consistency regularization
Self-similar regularization of optic-flow for turbulent motion estimation
Self-Supervised Deep Unrolled Reconstruction Using regularization by Denoising
Self-Supervised Dense Consistency regularization for Image-to-Image Translation
Self-supervised multi-scale semantic consistency regularization for unsupervised image-to-image translation
Self-Training and Adversarial Background regularization for Unsupervised Domain Adaptive One-Stage Object Detection
Self-Weighting and Hypergraph regularization for Multi-view Spectral Clustering
SelfReg: Self-supervised Contrastive regularization for Domain Generalization
SEM resolution improvement using semi-blind restoration with hybrid L1-L2 regularization
Semantic 3D Reconstruction with Continuous regularization and Ray Potentials Using a Visibility Consistency Constraint
Semantic-aware spatial regularization correlation filter for visual tracking
Semantically Aware Urban 3D Reconstruction with Plane-Based regularization
Semantically Consistent regularization for Zero-Shot Recognition
Semi-Blind Image Restoration Via Mumford-Shah regularization
Semi-explicit Solution and Fast Minimization Scheme for an Energy with L1-Fitting and Tikhonov-Like regularization
Semi-Local Scaling Exponent Estimation With Box-Penalty Constraints and Total-Variation regularization
Semi-Supervised Anomaly Detection with Contrastive regularization
Semi-supervised classification via discriminative sparse manifold regularization
Semi-Supervised Cross-Media Feature Learning With Unified Patch Graph regularization
Semi-supervised cross-modal common representation learning with vector-valued manifold regularization
Semi-supervised discriminant analysis based on UDP regularization
Semi-supervised learning with explicit relationship regularization
Semi-supervised learning with nuclear norm regularization
Semi-supervised manifold regularization with adaptive graph construction
Semi-Supervised Remote Sensing Image Semantic Segmentation via Consistency regularization and Average Update of Pseudo-Label
Semi-supervised sparse feature selection based on multi-view Laplacian regularization
Semi-Supervised Spectral Clustering With Structured Sparsity regularization
Semi-supervised transfer learning with hierarchical self-regularization
Semismooth Newton Method for L^1 Data Fitting with Automatic Choice of regularization Parameters and Noise Calibration, A
Semisupervised Hyperspectral Classification Using Task-Driven Dictionary Learning With Laplacian regularization
Semixup: In- and Out-of-Manifold regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs
Separate Magnitude and Phase regularization via Compressed Sensing
SERBoost: Semi-supervised Boosting with Expectation regularization
SGTD: Structure Gradient and Texture Decorrelating regularization for Image Decomposition
Shade: Information-Based regularization for Deep Learning
Shape from Occluding Contours: A regularization Method
Shape from Patterns: regularization
Shape from Shading Based on Lax-Friedrichs Fast Sweeping and regularization Techniques With Applications to Document Image Restoration
Shape-Based regularization of Electron Tomographic Reconstruction
Ship Wake Detection in SAR Images via Sparse regularization
Shortest Paths with Higher-Order regularization
Show, Attend, and Translate: Unsupervised Image Translation With Self-regularization and Attention
Signal and image denoising without regularization
Signal restoration combining Tikhonov regularization and multilevel method with thresholding strategy
Similarity-based regularization for semi-supervised learning for handwritten digit recognition
Simplification and regularization Algorithm for Right-Angled Polygon Building Outlines with Jagged Edges
Simultaneous Cartoon and Texture Image Restoration with Higher-Order regularization
Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal regularization
Simultaneous Fidelity and regularization Learning for Image Restoration
Simultaneous High Dynamic Range and Superresolution Imaging without regularization
Simultaneous Learning of Localized Multiple Kernels and Classifier with Weighted regularization
Simultaneous Multichannel Image Restoration and Estimation of the regularization Parameters
Simultaneous tumor segmentation, image restoration, and blur kernel estimation in PET using multiple regularizations
Single depth map super-resolution via joint non-local self-similarity modeling and local multi-directional gradient-guided regularization
Single Image Blind Deblurring Based on Salient Edge-Structures and Elastic-Net regularization
Single Image Dehazing Using Fixed Points and Nearest-Neighbor regularization
Single Image Dehazing With Depth-Aware Non-Local Total Variation regularization
Single image deraining using contrastive perceptual regularization
Single image motion deblurring using anisotropic regularization
Single Image Super Resolution Using Joint regularization
Single image super-resolution based on sparse representation using edge-preserving regularization and a low-rank constraint
Single Image Super-Resolution via Adaptive Transform-Based Nonlocal Self-Similarity Modeling and Learning-Based Gradient regularization
Single Image Super-Resolution via Convolutional Neural Network and Total Variation regularization
Single-Frame regularization for Temporally Stable CNNs
Skeletonization by Gradient Diffusion and regularization
Skeletonization by Gradient regularization and Diffusion
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and regularization with Transparency
SLACK: Stable Learning of Augmentations with Cold-Start and KL regularization
SLN-RED: regularization by Simultaneous Local and Nonlocal Denoising for Image Restoration
Smoothness Similarity regularization for Few-Shot GAN Adaptation
Snapshot Hyperspectral Imaging Based on Weighted High-order Singular Value regularization
Soft Double regularization Approach to Parametric Blind Image Deconvolution, A
Softer Pruning, Incremental regularization
Soil-Moisture Estimation From X-Band Data Using Tikhonov regularization and Neural Net
Solution-Driven Adaptive Total Variation regularization
Solving an Inverse Diffusion Problem for Magnetic Resonance Dosimetry by a Fast regularization Method
Solving Robust regularization Problems Using Iteratively Re-weighted Least Squares
SOSNet: Second Order Similarity regularization for Local Descriptor Learning
Space-Time regularization for Video Decompression
Spacetime Surface regularization for Neural Dynamic Scene Reconstruction
Sparse Graph regularization for Hyperspectral Remote Sensing Image Classification
Sparse graph regularization for robust crop mapping using hyperspectral remotely sensed imagery with very few in situ data
Sparse Kernel Density Construction Using Orthogonal Forward Regression With Leave-One-Out Test Score and Local regularization
Sparse Kernel Machines for Discontinuous Registration and Nonstationary regularization
Sparse Online Co-regularization Using Conjugate Functions
Sparse PCA via L_2,p-Norm regularization for Unsupervised Feature Selection
Sparse regularization for semi-supervised classification
Sparse regularization of Interferometric Phase and Amplitude for InSAR Image Formation Based on Bayesian Representation
Sparse regularization of TV-L1 Optical Flow
Sparse regularization with a Non-Convex Penalty for SAR Imaging and Autofocusing
Sparse Representation Using Stepwise Tikhonov regularization With Offline Computations
Sparse SAR Imaging and Quantitative Evaluation Based on Nonconvex and TV regularization
Sparse-View CT Reconstruction Using Curvelet and TV-Based regularization
Sparse-view statistical iterative head CT image reconstruction via joint regularization
Sparsity constrained regularization for multiframe image restoration
Sparsity regularization for Radon Measures
Sparsity-based image deblurring with locally adaptive and nonlocally robust regularization
Sparsity-Based Image Error Concealment via Adaptive Dual Dictionary Learning and regularization
Sparsity-Based regularization Approach for Deconvolution of Full-Waveform Airborne Lidar Data, A
Sparsity-Inducing Nonconvex Nonseparable regularization for Convex Image Processing
Spatial and Anatomical regularization Based on Multiple Kernel Learning for Neuroimaging Classification
Spatial and Anatomical regularization of SVM: A General Framework for Neuroimaging Data
Spatial and Semantic Consistency regularizations for Pedestrian Attribute Recognition
Spatial Event Forecasting in Social Media With Geographically Hierarchical regularization
Spatial regularization Approach for Vector Quantization, A
Spatially Varying regularization of Image Sequences Super-Resolution
Spatiotemporal Learning via Mixture Importance Gaussian Filtering With Sparse regularization
Spatiotemporal traffic data imputation by synergizing low tensor ring rank and nonlocal subspace regularization
SPCR: semi-supervised point cloud instance segmentation with perturbation consistency regularization
Speckle noise removal via nonlocal low-rank regularization
Speckle reduction by I-divergence regularization in optical coherence tomography
Speckle removal using a maximum-likelihood technique with isoline gray-level regularization
Speckled images restoration filter based on weighted multiplicative regularization approach
Spectral Angiography Material Decomposition Using an Empirical Forward Model and a Dictionary-Based regularization
Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field regularization
Spectral regularization for Combating Mode Collapse in GANs
Speech2video Synthesis with 3d Skeleton regularization and Expressive Body Poses
Splines in Higher Order TV regularization
splitting algorithm for directional regularization and sparsification, A
Square-Root Lasso With Nonconvex regularization: An ADMM Approach
SRI3D: Two-stream inflated 3D ConvNet based on sparse regularization for action recognition
Stacking More Linear Operations with Orthogonal regularization to Learn Better
STAR: Sparse Thresholded Activation under partial-regularization for Activation Sparsity Exploration
statistical regularization framework for estimating normal displacements along contours with subpixel accuracy, A
Statistical regularization in linearized microwave imaging through MRF-based MAP estimation: hyperparameter estimation and image computation
Statistical shape model for manifold regularization: Gleason grading of prostate histology
Stereo depth estimation using synchronous optimization with segment based regularization
Stereo Matching with Mumford-Shah regularization and Occlusion Handling
Stochastic batch size for adaptive regularization in deep network optimization
Stochastic Downsampling for Cost-Adjustable Inference and Improved regularization in Convolutional Networks
Strain-Energy Approach to regularization in Displacement Field Fits of Elastically Deforming Bodies, A
Stripe noise removal of remote sensing images by total variation regularization and group sparsity constraint
Structural Alignment for Network Pruning through Partial regularization
structural low rank regularization method for single image super-resolution, A
Structural Similarity-Based Optimization Problems with L1-regularization: Smoothing Using Mollifiers
Structure- and motion-adaptive regularization for high accuracy optic flow
Structure-Awareness SAR Imagery by Exploiting Structure Tensor TV regularization Under Multitask Learning Framework
Structure-Based Low-Rank Model With Graph Nuclear Norm regularization for Noise Removal
Structure-Oriented DTGV regularization for Random Noise Attenuation in Seismic Data
Structure-preserved NLTV regularization for image denoising
Structured low rank tracker with smoothed regularization
Structured Pruning of Neural Networks With Budget-Aware regularization
structured regularization framework for spatially smoothing semantic labelings of 3D point clouds, A
Study of Methods of Choosing the Smoothing Parameter in Image Restoration by regularization, A
Sub-Pixel Mapping Model Based on Total Variation regularization and Learned Spatial Dictionary
Subband adaptive regularization method for removing blocking effect
Sublabel-Accurate Convex Relaxation with Total Generalized Variation regularization
Super Resolution Image Reconstruction Through Bregman Iteration Using Morphologic regularization
Super resolution image reconstruction using total variation regularization and learning-based method
Super-resolution image reconstruction using fractional-order total variation and adaptive regularization parameters
Super-Resolution of Hyperspectral Images: Use of Optimum Wavelet Filter Coefficients and Sparsity regularization
Super-resolution utilizing total variation regularization and a shock filter
Super-resolution via Transform-Invariant Group-Sparse regularization
Super-Resolution with Adaptive regularization
Super-Resolved Free-Viewpoint Image Synthesis Using Semi-global Depth Estimation and Depth-Reliability-Based regularization
Superresolution Land Cover Mapping Using Spatial regularization
Supervised graph regularization based cross media retrieval with intra and inter-class correlation
Supervised learning of smoothing parameters in image restoration by regularization under cellular neural networks framework
Surface Reconstruction Directly From Binocular Stereo Images By Multiscale-Multistage regularization
Surface Recovery by Using regularization Theory and Its Application to Multiresolution Analysis
Surface Smoothing for Enhancement of 3D Data Using Curvature-Based Adaptive regularization
SWAP-NODE: A regularization approach for deep convolutional neural networks
Symmetry regularization and Saturating Nonlinearity for Robust Quantization
Synergistic PET and SENSE MR Image Reconstruction Using Joint Sparsity regularization
Systematic Survey of regularization and Normalization in GANs, A
Tale of Two Bases: Local-Nonlocal regularization on Image Patches with Convolution Framelets, A
Tangent-Normal Adversarial regularization for Semi-Supervised Learning
Target-Oriented High-Resolution SAR Image Formation via Semantic Information Guided regularizations
Targeted Kernel Networks: Faster Convolutions with Attentive regularization
Task Difficulty Aware Parameter Allocation and regularization for Lifelong Learning
Task-Driven Optimization of Fluence Field and regularization for Model-Based Iterative Reconstruction in Computed Tomography
Taut-String Algorithm and regularization Programs with G-Norm Data Fit
Temporal Prediction and Spatial regularization in Differential Optical Flow
Tensor Completion via Smooth Rank Function Low-Rank Approximate regularization
Tensor Factorization with Total Variation and Tikhonov regularization for Low-Rank Tensor Completion in Imaging Data
Tensor MRI regularization via Graph Diffusion
Tensor non-local low-rank regularization for recovering compressed hyperspectral images
Tensor-Based Formulation and Nuclear Norm regularization for Multienergy Computed Tomography
Tensor-Based Low-Rank Graph With Multimanifold regularization for Dimensionality Reduction of Hyperspectral Images
Terrain modeling from Lidar data: Hierarchical K-means filtering and Markovian regularization
Text-Driven Generative Domain Adaptation with Spectral Consistency regularization
Texture-based graph regularization process for 2D and 3D ultrasound image segmentation
Thin Structure Estimation with Curvature regularization
Three-Dimensional Convolutional Neural Network Pruning with regularization-Based Method
Three-Dimensional Sparse SAR Imaging with Generalized LQ regularization
TICMR: Total Image Constrained Material Reconstruction via Nonlocal Total Variation regularization for Spectral CT
Tikhonov regularization Based Modeling and Sidereal Filtering Mitigation of GNSS Multipath Errors
Tikhonov regularization versus scale space: A new result
Time Image De-Noising Method Based on Sparse regularization
Time regularization Technique for Discrete Spectral Envelopes Through Frequency Derivative, A
Time-lapse optical flow regularization for geophysical complex phenomena monitoring
TNLRS: Target-Aware Non-Local Low-Rank Modeling With Saliency Filtering regularization for Infrared Small Target Detection
Tomographic reconstruction of axially symmetric objects: regularization by a Markovian modelization
Tomographic SAR Inversion by L_1-Norm regularization: The Compressive Sensing Approach
Total Deep Variation: A Stable regularization Method for Inverse Problems
Total Variation regularization for fMRI-Based Prediction of Behavior
Total Variation regularization for Functions with Values in a Manifold
Total Variation regularization For Image Denoising, III. Examples.
Total Variation regularization for Manifold-Valued Data
Total Variation regularization of Pose Signals With an Application to 3D Freehand Ultrasound
Total variation regularization of shape signals
Total Variation regularization Strategies in Full-Waveform Inversion
Total Variation regularization Term-Based Low-Rank and Sparse Matrix Representation Model for Infrared Moving Target Tracking
Total Variation regularization via Continuation to Recover Compressed Hyperspectral Images
Total Variation Spatial regularization for Sparse Hyperspectral Unmixing
Total-Variation Based Piecewise Affine regularization
Toward Automatic Building Footprint Delineation From Aerial Images Using CNN and regularization
Towards Accurate Open-Set Recognition via Background-Class regularization
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight regularization
Towards Morphological Image regularization Using the Counter-Harmonic Mean
Towards Robustness of Deep Neural Networks via regularization
Towards surface regularization via medial axis transitions
Towards the interpretation of time-varying regularization parameters in streaming penalized regression models
Trace Norm regularization and Application to Tensor Based Feature Extraction
Trainable regularization for Multi-frame Superresolution
Training Compact DNNs with L1/2 regularization
Training Deep Generative Models in Highly Incomplete Data Scenarios with Prior regularization
Trajectory Grouping With Curvature regularization for Tubular Structure Tracking
Transferable Adversarial Attacks on Vision Transformers with Token Gradient regularization
Transformation Consistency regularization: A Semi-supervised Paradigm for Image-to-image Translation
Transformer Decoders with Multi-Modal regularization for Cross-Modal Food Retrieval
Trend representation based log-density regularization system for portfolio optimization
Truncated Nuclear Norm regularization Method Based on Weighted Residual Error for Matrix Completion, A
Truncated Singular Value Decomposition regularization for Estimating Terrestrial Water Storage Changes Using GPS: A Case Study over Taiwan
Truncated Total Least Squares regularization Method for Ocean Acoustic Tomography Inverse Problem
Truncated Weighted Nuclear Norm regularization and Sparsity for Image Denoising
Tube Methods for BV regularization
Two deterministic half-quadratic regularization algorithms for computed imaging
two-stage regularization framework for heterogeneous event networks, A
Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic regularization
unbiased implementation of regularization mechanisms, An
Unbiased risk estimation for sparse analysis regularization
Unbiased Subclass regularization for Semi-Supervised Semantic Segmentation
Uncertainty-aware consistency regularization for cross-domain semantic segmentation
Understanding and combating robust overfitting via input loss landscape analysis and regularization
Unified Experiment Design, Bayesian Minimum Risk and Convex Projection regularization Method for Enhanced Remote Sensing Imaging
Unified Framework for Constructing Nonconvex regularizations, A
Unified Framework for Discrete Multi-kernel k-means with Kernel Diversity regularization, A
Unified regularization Framework for Virtual Frontal Face Image Synthesis, A
Unifying Experiment Design and Convex regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data: Part I: Theory
Unifying Experiment Design and Convex regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data: Part II: Adaptive Implementation and Performance Issues
Unifying regularization and Bayesian Estimation Methods for Enhanced Imaging With Remotely Sensed Data-Part I: Theory
Unifying regularization and Bayesian Estimation Methods for Enhanced Imaging With Remotely Sensed Data-Part II: Implementation and Performance Issues
Unifying the Experiment Design and Constrained regularization Paradigms for Reconstructive Imaging with Remote Sensing Data
Unleashing Potential of Unsupervised Pre-Training with Intra-Identity regularization for Person Re-Identification
Unpaired Image-to-Image Translation with Shortest Path regularization
Unrolled Implicit regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee, An
Unsupervised domain adaptation with joint supervised sparse coding and discriminative regularization term
Unsupervised feature selection by self-paced learning regularization
Unsupervised learning of finite mixtures using entropy regularization and its application to image segmentation
Unsupervised Maximum Margin Feature Selection with manifold regularization
Unsupervised Moving Object Detection in Complex Scenes Using Adversarial regularizations
Unsupervised Patch-Based Image regularization and Representation
Unwrapping ground displacement signals in satellite radar interferograms with aid of GPS data and MRF regularization
Using Transmural regularization and Dynamic Modeling for Noninvasive Cardiac Potential Imaging of Endocardial Pacing With Imprecise Thoracic Geometry
VACL: Variance-Aware Cross-Layer regularization for Pruning Deep Residual Networks
Validation of Equilibrated Warping: Image Registration with Mechanical regularization: On 3D Ultrasound Images
Variance Minimization Criterion to Feature Selection Using Laplacian regularization, A
Variational Approach for Edge-Preserving regularization Using Coupled PDEs
Variational Bayesian View of Weighted Trace Norm regularization for Matrix Factorization
variational framework for image segmentation combining motion estimation and shape regularization, A
Variational frameworks for DT-MRI estimation, regularization and visualization
Variational Image Registration Using Inhomogeneous regularization
Variational Image regularization with Euler's Elastica Using a Discrete Gradient Scheme
Variational image restoration based on Poisson singular integral and curvelet-type decomposition space regularization
Variational Image Segmentation Model Based on Normalized Cut with Adaptive Similarity and Spatial regularization, A
Variational Method for Geometric regularization of Vascular Segmentation in Medical Images, A
variational model for thin structure segmentation based on a directional regularization, A
Variational regularization and Fusion of Surface Normal Maps
Variational regularization of 3D Data: Experiments with MATLAB®
Variational single image interpolation with time-varying regularization
Variational Structure of Disparity and regularization of 4D Light Fields, The
Variational-Based Mixed Noise Removal With CNN Deep Learning regularization
Variations on regularization
Vector-Valued Image regularization with PDEs: A Common Framework for Different Applications
Vectorial Total Variation-Based regularization for Variational Image Registration
Video Compressed Sensing Reconstruction via an Untrained Network with Low-Rank regularization
Video Denoising and Simplification Via Discrete regularization on Graphs
Video denoising via discrete regularization on graphs
Video reconstruction using compressed sensing measurements and 3d total variation regularization for bio-imaging applications
Video super resolution based on non-local regularization and reliable motion estimation
Virtual Adversarial Training: A regularization Method for Supervised and Semi-Supervised Learning
ViSeR: Visual Self-regularization
Visual Object Clustering via Mixed-Norm regularization
Visual Object Tracking with Online Sample Selection Via LASSO regularization
Visual Saliency Detection Using Group Lasso regularization in Videos of Natural Scenes
Visual Tracking via Nonnegative regularization Multiple Locality Coding
Volumetric reconstruction from object silhouettes: A regularization procedure
Wasserstein Adversarial regularization for Learning With Label Noise
Wasserstein regularization of imaging problem
Wavelet Domain Image Restoration with Adaptive Edge-Preserving regularization
Wavelet Frame-Based Image Restoration via L_2-Relaxed Truncated L_0 regularization and Nonlocal Estimation
Wavelet iterative regularization for image restoration with varying scale parameter
wavelet regularization method for diffuse radar-target imaging and speckle-noise reduction, A
Wavelet Representation and Total Variation regularization in Emission Tomography
Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors
Weakly Supervised Detection with Posterior regularization
Weakly Supervised Image Classification Through Noise regularization
Weighted Couple Sparse Representation With Classified regularization for Impulse Noise Removal
Weighted Fidelity and regularization-Based Method for Mixed or Unknown Noise Removal From Images on Graphs, A
Weighted Patch-based Manifold regularization Dictionary Pair Learning model for facial expression recognition using Iterative Optimization Classification Strategy
Weighted regularization in electrical impedance tomography with applications to acute cerebral stroke
Weighted truncated nuclear norm regularization for low-rank quaternion matrix completion
What is Regular in regularization?
When Spatially-Variant Filtering Meets Low-Rank regularization: Exploiting Non-Local Similarity for Single Image Interpolation
Whole Brain Myelin Water Mapping in One Minute Using Tensor Dictionary Learning With Low-Rank Plus Sparse regularization
Wiener filter and regularization methods for image restoration problems, The
Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive regularization
X-Ray Analysis of Lake Sedimentary Patterns Using Nonlinear regularization Filter
X-ray CT Metal Artifact Reduction Using Wavelet Domain L_0 Sparse regularization
Zero Shot Learning via Multi-scale Manifold regularization
Zero-Shot Learning Using Stacked Autoencoder with Manifold regularizations
Zero-Shot Learning via Low-Rank-Representation Based Manifold regularization
Zero-Shot Learning via Robust Latent Representation and Manifold regularization
1540 for regularization

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Adversarial Noise Layer: regularize Neural Network by Adding Noise
Convex regularize for Reducing Color Artifact in Color Image Recovery, A
Leveraging multiple tasks to regularize fine-grained classification
On Dropping Clusters to regularize Graph Convolutional Neural Networks
regularize implicit neural representation by itself
regularize, Expand and Compress: NonExpansive Continual Learning
Tensorize, Factorize and regularize: Robust Visual Relationship Learning
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2-D Locally regularized Tissue Strain Estimation From Radio-Frequency Ultrasound Images: Theoretical Developments and Results on Experimental Data
3-Dimensional regularized Binary Image-Reconstruction from Three 2-Dimensional Projections Using a Randomized ICM Algorithm
3d regularized Velocity from 3d Doppler Radial Velocity
3D shape registration using regularized medial scaffolds
Accelerated regularized Estimation of MR Coil Sensitivities Using Augmented Lagrangian Methods
Accelerated Variational PDEs for Efficient Solution of regularized Inversion Problems
Accelerated wavelet-regularized deconvolution for 3-D fluorescence microcopy
Active Learning for Video Description with Cluster-regularized Ensemble Ranking
Active vector graph for regularized tesselation
Adaptive edge preserving regularized image restoration
Adaptive graph regularized Nonnegative Matrix Factorization via feature selection
Adaptive Nonlocal regularized Shadow Removal Method for Aerial Remote Sensing Images, An
Adaptive Norm Selection for regularized Image Restoration and Super-Resolution
Adaptive regularized Constrained Least Squares Image Restoration
Adaptive regularized ensemble for evolving data stream classification
Adaptive regularized Recursive Displacement Estimation Algorithm, An
Adaptive Spatio-temporal regularized Correlation Filters for UAV-based Tracking
Adaptive Transform Domain Image Super-Resolution via Orthogonally regularized Deep Networks
Adaptively regularized Constrained Total Least-Squares Image Restoration
Adversarially-regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data
Analysis of regularized Kantorovich-Rubinstein Metric and Its Application to Inverse Gravity Problems
Analysis of Resolution and Noise Properties of Nonquadratically regularized Image Reconstruction Methods for PET
Anatomy-regularized Representation Learning for Cross-Modality Medical Image Segmentation
Anomaly Detection for Hyperspectral Imagery Based on the regularized Subspace Method and Collaborative Representation
Application of the Motion Vector Constraint to the regularized Enhancement of Compressed Video
Articulated tracking with manifold regularized particle filter
Asymptotically Bias-Corrected regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification
Attention regularized Laplace Graph for Domain Adaptation
Attention regularized semi-supervised learning with class-ambiguous data for image classification
Augmented DT-CWT feature based classification using regularized Neighborhood Projection Discriminant Analysis for face recognition
Auto-adjustable hypergraph regularized non-negative matrix factorization for image clustering
Automated Chinese Essay Scoring from Topic Perspective Using regularized Latent Semantic Indexing
Automated Graph regularized Projective Nonnegative Matrix Factorization for Document Clustering
Automatic Rooftop Extraction in Stereo Imagery Using Distance And Building Shape regularized Level Set Evolution
Bag dissimilarity regularized multi-instance learning
Basis Expansion Approaches for regularized Sequential Dictionary Learning Algorithms With Enforced Sparsity for fMRI Data Analysis
Batch-Mode regularized Multimetric Active Learning Framework for Classification of Hyperspectral Images, A
Bayesian regularized artificial neural network for fault detection and isolation in wind turbine
Bayesian regularized nonnegative matrix factorization based face features learning
Behavior regularized prototypical networks for semi-supervised few-shot image classification
Beyond Gradient Descent for regularized Segmentation Losses
Bilateral Filter regularized L2 Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing
Biometricnet: Deep Unconstrained Face Verification Through Learning of Metrics regularized onto Gaussian Distributions
Bit-Scalable Deep Hashing With regularized Similarity Learning for Image Retrieval and Person Re-Identification
Blind Cloud and Cloud Shadow Removal of Multitemporal Images Based on Total Variation regularized Low-Rank Sparsity Decomposition
Blind Deconvolution Models regularized by Fractional Powers of the Laplacian
Blind Image Deblurring With Joint Extreme Channels And L0-regularized Intensity And Gradient Priors
Blind image motion deblurring with -regularized priors
Blind Image Quality Assessment Based on Rank-Order regularized Regression
Block and Group regularized Sparse Modeling for Dictionary Learning
Block Coordinate Descent Method for regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion, A
Boundary correction for total variation regularized L^1 function with applications to image decomposition and segmentation
Bounded Diffusion for Multiscale Edge Detection Using regularized Cubic B-Spline Fitting
Bounds on the Minimizers of (nonconvex) regularized Least-Squares
Bregman distance to L1 regularized logistic regression
BRULÈ: Barycenter-regularized Unsupervised Landmark Extraction
Camera Pose and Focal Length Estimation Using regularized Distance Constraints
Channel Graph regularized Correlation Filters for Visual Object Tracking
Class of Manifold regularized Multiplicative Update Algorithms for Image Clustering, A
Classification of Hyperspectral Images With regularized Linear Discriminant Analysis
Classification of Hyperspectral Images with Robust regularized Block Low-Rank Discriminant Analysis
Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification
Clothing generation by multi-modal embedding: A compatibility matrix-regularized GAN model
Cluster regularized Quantization for Deep Networks Compression
Clustering of multivariate binary data with dimension reduction via L1-regularized likelihood maximization
Clustering of temporal gene expression data by regularized spline regression and an energy based similarity measure
Co-regularized deep representations for video summarization
Co-regularized kernel k-means for multi-view clustering
Co-regularized PLSA for Multi-view Clustering
Co-saliency-regularized correlation filter for object tracking
Co-sparsity regularized deep hashing for image instance retrieval
Co-VAE: Drug-Target Binding Affinity Prediction by Co-regularized Variational Autoencoders
Coherence-regularized discriminative dictionary learning for histopathological image classification
Color constancy based on texture pyramid matching and regularized local regression
Color image guided locality regularized representation for Kinect depth holes filling
Comparison of optimization techniques for regularized statistical reconstruction in X-ray tomography
Comparison of regularized inversion methods in synthetic aperture imaging radiometry
Complex curve tracing based on a minimum spanning tree model and regularized fuzzy clustering
Complexity regularized pattern matching
Complexity regularized shape estimation from noisy Fourier data
Complexity-regularized Denoising of Poisson-corrupted Data
Complexity-regularized Image Denoising
Complexity-regularized image restoration
Computational framework for emotional VAD prediction using regularized Extreme Learning Machine
Confidence regularized Label Propagation Based Domain Adaptation
Confidence regularized Self-Training
Confusion Mixup regularized Multimodal Fusion Network for Continual Egocentric Activity Recognition
Consensus regularized Multi-View Outlier Detection
Consistency-regularized Region-Growing Network for Semantic Segmentation of Urban Scenes With Point-Level Annotations
Consistent and regularized magnification of images
Constrained regularized differentiation
Constrained regularized Image Restoration Using Projection on a Set of Regularized Solutions
Constrained regularized Image Restoration Using Projection on a Set of Regularized Solutions
Context pyramidal network for stereo matching regularized by disparity gradients
Context-regularized learning of fully convolutional networks for scene labeling
Contextual Similarity regularized Metric Learning for person re-identification
Continual Learning with Deep Streaming regularized Discriminant Analysis
Continuous Exact L_0 Penalty (CEL0) for Least Squares regularized Problem, A
Contour information regularized tensor ring completion for realistic image restoration
Controlled Fusion of Multiple Partial Models to Reconstruct a regularized 3-D Complete Model
Convex Histogram-Based Joint Image Segmentation with regularized Optimal Transport Cost
Convex regularized inverse filtering methods for blind image deconvolution
Convex Solution to Spatially-regularized Correspondence Problems, A
Convolutional Neural Networks regularized by Correlated Noise
Coordinate Ranking regularized Non-negative Matrix Factorization
CORE: Co-planarity regularized Monocular Geometry Estimation with Weak Supervision
CoReFusion: Contrastive regularized Fusion for Guided Thermal Super-Resolution
CoRNet: Composite-regularized Neural Network For Convolutional Sparse Coding
Corrections to JPEG Dequantization Array for regularized Decompression
Correntropy-Based Spatial-Spectral Robust Sparsity-regularized Hyperspectral Unmixing
Cross-Domain Palmprint Recognition via regularized Adversarial Domain Adaptive Hashing
Cross-Modality Image Synthesis via Weakly Coupled and Geometry Co-regularized Joint Dictionary Learning
Current Source Density Imaging Using regularized Inversion of Acoustoelectric Signals
Curvature regularized Surface Reconstruction from Point Clouds
DCT regularized Extreme Visual Recovery
DCT-Based regularized Algorithm for High-Resolution Image Reconstruction
Deblurring Text Images via L0-regularized Intensity and Gradient Prior
Deblurring Using regularized Locally Adaptive Kernel Regression
Deep Image Prior regularized by Coupled Total Variation for Image Colorization
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
Deformable Model Fitting by regularized Landmark Mean-Shift
Deformable Motion 3D Reconstruction by Union of regularized Subspaces
Dense Dilated Network With Probability regularized Walk for Vessel Detection
Description of the Minimizers of Least Squares regularized with L_0-norm. Uniqueness of the Global Minimizer
Development and Optimization of regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography
Digital image watermarking based on regularized filter
Dimension Reduction Using Spatial and Spectral regularized Local Discriminant Embedding for Hyperspectral Image Classification
Dimensionality Reduction of Hyperspectral Image Using Spatial-Spectral regularized Sparse Hypergraph Embedding
Discriminative and regularized echo state network for time series classification
Discriminative clustering using regularized subspace learning
Discriminative Elastic-Net regularized Linear Regression
Discriminative regularized Auto-Encoder for Early Detection of Knee OsteoArthritis: Data from the Osteoarthritis Initiative
Discriminative regularized Input Manifold for multilayer perceptron
Discriminatively regularized least-squares classification
Discussion On The Problem of regularized Reconstruction in HBIM
Distance regularized Level Set Evolution and Its Application to Image Segmentation
Distribution regularized self-supervised learning for domain adaptation of semantic segmentation
Diversity regularized metric learning for person re-identification
Diversity regularized Spatiotemporal Attention for Video-Based Person Re-identification
Double Graph regularized Double Dictionary Learning for Image Classification
Double Manifolds regularized Non-negative Matrix Factorization for Data Representation
Double regularized Bayesian Estimation for Blur Identification in Video Sequences
Double-Factor-regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image
dpvaes: Fixing Sample Generation for regularized VAEs
Drone-Based Object Counting by Spatially regularized Regional Proposal Network
Dual Fuzzy Hypergraph regularized Multi-label Learning for Protein Subcellular Location Prediction
Dual Graph regularized Latent Low-Rank Representation for Subspace Clustering
Dual Graph regularized NMF for Hyperspectral Unmixing
Dual graph regularized sparse coding for image representation
Dual Mixup regularized Learning for Adversarial Domain Adaptation
Dual-Graph regularized Discriminative Multitask Tracker
Edge Based Segmentation of Left and Right Ventricles Using Two Distance regularized Level Sets
Edge-Detection by regularized Cubic B-Spline Fitting
Edge-moment-based color constancy using illumination-coherent regularized regression
EEG-Based Emotion Recognition Using regularized Graph Neural Networks
Efficient ADMM-Based Algorithm for regularized Minimax Approximation
Efficient algorithms for graph regularized PLSA for probabilistic topic modeling
Efficient and Effective regularized Incomplete Multi-View Clustering
Efficient and Robust Semi-supervised Learning Over a Sparse-regularized Graph
Efficient approximate regularized Least Squares by Toeplitz matrix
Efficient Feature Extraction Based on regularized Uncorrelated Chernoff Discriminant Analysis
Efficient regularized Least Squares Classification
Efficient Surface Reconstruction From Noisy Data Using regularized Membrane Potentials
Elastic Net regularized Logistic Regression Using Cubic Majorization
Electrical impedance tomography: regularized Imaging and Contrast Detection
Embryo Grading With Unreliable Labels Due to Chromosome Abnormalities by regularized PU Learning With Ranking
Emotion Recognition From Multimodal Physiological Signals Using a regularized Deep Fusion of Kernel Machine
Emotion-regularized Conditional Variational Autoencoder for Emotional Response Generation
Enhanced Gabor Feature Based Classification Using a regularized Locally Tensor Discriminant Model for Multiview Gait Recognition
Enhanced Group Sparse regularized Nonconvex Regression for Face Recognition
Enhanced regularized Clustering Method With Adaptive Spurious Connection Detection, An
Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding
Error-Bound-regularized Sparse Coding for Spatiotemporal Reflectance Fusion, An
Estimation of Large Motion in Lung CT by Integrating regularized Keypoint Correspondences into Dense Deformable Registration
Estimation of the parameters in regularized simultaneous super-resolution
Evaluation of Potential Functions for regularized Image Deblurring, An
Examining the Spectral Separability of Prosopis Glandulosa from Co-Existent Species Using Field Spectral Measurement and Guided regularized Random Forest
Exclusivity-Consistency regularized Knowledge Distillation for Face Recognition
Exclusivity-Consistency regularized Multi-view Subspace Clustering
Exploit Clues From Views: Self-Supervised and regularized Learning for Multiview Object Recognition
Exploiting Feature and Class Relationships in Video Categorization with regularized Deep Neural Networks
Exploring regularized feature selection for person specific face verification
Exploring Weighted Dual Graph regularized Non-Negative Matrix Tri-Factorization Based Collaborative Filtering Framework for Multi-Label Annotation of Remote Sensing Images
Face Hallucination Using Manifold-regularized Group Locality-Constrained Representation
Face Image Super-Resolution via K-NN regularized Collaborative Representation with Importance Reweighting
Face Recognition Based on regularized Nearest Points Between Image Sets
Face Recognition by regularized Discriminant Analysis
Face, gender and race classification using multi-regularized features learning
Facial Expression Recognition by Multi-Scale CNN with regularized Center Loss
Facial Feature Selection Based on SVMs by regularized Risk Minimization
Fast and Accurate Tensor Completion With Total Variation regularized Tensor Trains
Fast and regularized local metric for query-based operations
Fast Classification of Hyperspectral Images Using Globally regularized Archetypal Representation With Approximate Solution
Fast Data-Driven Iteratively regularized Method with Convex Penalty for Solving Ill-Posed Problems, A
Fast half-quadratic regularized phase tracking for nonnormalized fringe patterns
Fast iteratively reweighted least squares for Lp regularized image deconvolution and reconstruction
Fast Learning of Spatially regularized and Content Aware Correlation Filter for Visual Tracking
Fast linearized alternating direction method of multipliers for the augmented L1-regularized problem
Fast L_0-regularized Kernel Estimation for Robust Motion Deblurring
Fast Multilevel Algorithm for Wavelet-regularized Image Restoration, A
Fast regularized iterative forward backward splitting with adaptive parameter selection for image restoration
fast single-image super-resolution via directional edge-guided regularized extreme learning regression, A
Fast Thresholded Landweber Algorithm for Wavelet-regularized Multidimensional Deconvolution, A
feature selection method using improved regularized linear discriminant analysis, A
Few-Shot Class-Incremental Learning via Entropy-regularized Data-Free Replay
Finding the best not the most: regularized loss minimization subgraph selection for graph classification
Fitting Spatial-Temporal Data via a Physics regularized Multi-Output Grid Gaussian Process: Case Studies of a Bike-Sharing System
Flickr Circles: Aesthetic Tendency Discovery by Multi-View regularized Topic Modeling
Forget and Diversify: regularized Refinement for Weakly Supervised Object Detection
Fractional Conway Polynomials for Image Denoising with regularized Fractional Power Parameters
Fragmentary label distribution learning via graph regularized maximum entropy criteria
Free-Breathing Liver Fat, R2* and B0 Field Mapping Using Multi-Echo Radial FLASH and regularized Model-Based Reconstruction
Free-form image registration regularized by a statistical shape model: application to organ segmentation in cervical MR
From Fienup's phase retrieval techniques to regularized inversion for in-line holography: tutorial
Fully Automated Non-rigid Segmentation with Distance regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference
Fuzzy Sparse Deviation regularized Robust Principal Component Analysis
GAN-Based Video Super-Resolution With Direct regularized Inversion of the Low-Resolution Formation Model
Gene selection with guided regularized random forest
General Choice of the Regularization Functional in regularized Image-Restoration
general formulation of the weighted smoothing functional for regularized image restoration, A
General Framework for Nonlinear regularized Krylov-Based Image Restoration, A
General Framework for regularized, Similarity-Based Image Restoration, A
General Non-Lipschitz Infimal Convolution regularized Model: Lower Bound Theory and Algorithm, A
General-Thresholding Solution for l_p (0< p< 1) regularized CT Reconstruction, A
Generalization Performance of regularized Regression Algorithms Based on Markov Sampling, The
generalized least-squares approach regularized with graph embedding for dimensionality reduction, A
generalized multi-dictionary least squares framework regularized with multi-graph embeddings, A
Generated Data With Sparse regularized Multi-Pseudo Label for Person Re-Identification
Generating adversarial examples with elastic-net regularized boundary equilibrium generative adversarial network
Generic Reversible Visible Watermarking via regularized Graph Fourier Transform Coding
Geometric Structure Based and regularized Depth Estimation From 360 Indoor Imagery
Geometry regularized Autoencoders
Global Surface Reconstruction Through regularized B-Spline Patches
Globality constrained adaptive graph regularized non-negative matrix factorization for data representation
Globally Convergent Edge-Preserving regularized Reconstruction: An Application to Limited-Angle Tomography
Graduated Consistency-regularized Optimization for Multi-graph Matching
Graph and Total Variation regularized Low-Rank Representation for Hyperspectral Anomaly Detection
Graph regularized and Locality-Constrained Coding for Robust Visual Tracking
Graph regularized Auto-Encoders for Image Representation
Graph regularized Autoencoder and its Application in Unsupervised Anomaly Detection
Graph regularized Deep Discrete Hashing for Multi-Label Image Retrieval
Graph regularized Deep Neural Network for Unsupervised Image Representation Learning, A
Graph regularized discriminant analysis and its application to face recognition
Graph regularized Encoder-Decoder Networks for Image Representation Learning
Graph regularized Flow Attention Network for Video Animal Counting From Drones
Graph regularized locally linear embedding for unsupervised feature selection
Graph regularized low-rank matrix recovery for robust person re-identification
Graph regularized low-rank representation for submodule clustering
Graph regularized low-rank tensor representation for feature selection
Graph regularized Low-Rank Tensor-Train for Robust Principal Component Analysis
Graph regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing, A
Graph regularized multiset canonical correlations with applications to joint feature extraction
Graph regularized multiview marginal discriminant projection
Graph regularized Nonnegative Matrix Factorization for Data Representation
Graph regularized nonnegative sparse coding using incoherent dictionary for approximate nearest neighbor search
Graph regularized Sparse Coding for Image Representation
Graph Spectral regularized Tensor Completion for Traffic Data Imputation
Graph-regularized 3D shape reconstruction from highly anisotropic and noisy images
Graph-regularized concept factorization for multi-view document clustering
Graph-regularized Fast and Robust Principal Component Analysis for Hyperspectral Band Selection
Graph-regularized Generalized Low-Rank Models
Graph-regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis
Graph-regularized Low-Rank Representation for Destriping of Hyperspectral Images
Graph-regularized Saliency Detection With Convex-Hull-Based Center Prior
Graph-regularized Structured Support Vector Machine for Object Tracking
Grassmannian regularized Structured Multi-View Embedding for Image Classification
Gray Level Indicator-Based regularized Telegraph Diffusion Model: Application to Image Despeckling, A
Gray Level Indicator-Based regularized Telegraph Diffusion Model: Application to Image Despeckling, A
Harmonic cut and regularized centroid transform for localization of subcellular structures
Hessian regularized Sparse Coding for Human Action Recognition
Hessian regularized Support Vector Machines for Mobile Image Annotation on the Cloud
Hierarchical Spatiotemporal Graph regularized Discriminative Correlation Filter for Visual Object Tracking
High-order manifold regularized multi-view subspace clustering with robust affinity matrices and weighted TNN
High-Order regularized Regression in Electrical Impedance Tomography
High-Rankness regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery
Hyper-class augmented and regularized deep learning for fine-grained image classification
Hyper-Laplacian regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising
Hypergraph-regularized sparse representation for single color image super resolution
Hyperspectral Anomaly Detection Based on regularized Background Abundance Tensor Decomposition
Hyperspectral anomaly detection via weighted-sparsity-regularized tensor linear representation
Hyperspectral Denoising Via Cross Total Variation-regularized Unidirectional Nonlocal Low-Rank Tensor Approximation
Hyperspectral Image Clustering with Spatially-regularized Ultrametrics
Hyperspectral Image Denoising via Group Sparsity regularized Hybrid Spatio-Spectral Total Variation
Hyperspectral Image Restoration Using Weighted Group Sparsity-regularized Low-Rank Tensor Decomposition
Hyperspectral image restoration via CNN denoiser prior regularized low-rank tensor recovery
Hyperspectral Image Restoration via Global L1-2 Spatial-Spectral Total Variation regularized Local Low-Rank Tensor Recovery
Hyperspectral Image Restoration via Iteratively regularized Weighted Schatten p -Norm Minimization
Hyperspectral Image Restoration via Spatial-Spectral Residual Total Variation regularized Low-Rank Tensor Decomposition
Hyperspectral Image Super-Resolution Based on Spatial Correlation-regularized Unmixing Convolutional Neural Network
Hyperspectral Images Denoising via Nonconvex regularized Low-Rank and Sparse Matrix Decomposition
Hyperspectral Restoration via L_0 Gradient regularized Low-Rank Tensor Factorization
Hyperspectral Unmixing via Total Variation regularized Nonnegative Tensor Factorization
Hyperspherically regularized networks for self-supervision
Identifying Anatomical Shape Difference by regularized Discriminative Direction
IGSSTRCF: Importance Guided Sparse Spatio-Temporal regularized Correlation Filters For Tracking
Image analysis with regularized Laplacian eigenmaps
Image classification and annotation based on robust regularized coding
Image Classification by Selective regularized Subspace Learning
Image deblur with regularized backward heat diffusion
Image deblurring for satellite imagery using small-support-regularized deconvolution
Image Dehazing Using regularized Optimization
Image despeckling and deblurring via regularized complex diffusion
Image Interpolation Via regularized Local Linear Regression
Image Reconstruction Algorithm Based on the regularized Minimax Estimation for Electrical Capacitance Tomography, An
Image Reconstruction in MRI: regularized Approach by Markov Random Fields
Image Registration Based on Low Rank Matrix: Rank-regularized SSD
Image representation using Laplacian regularized nonnegative tensor factorization
Image Segmentation as regularized Clustering: A Fully Global Curve Evolution Method
Image Segmentation by Flexible Models Based on Robust regularized Networks
Image Set Based Face Recognition Using Self-regularized Non-Negative Coding and Adaptive Distance Metric Learning
Image super-resolution using graph regularized block sparse representation
Image Super-Resolution Via Double Sparsity regularized Manifold Learning
Image tag refinement by regularized latent Dirichlet allocation
Improved hypergraph regularized Nonnegative Matrix Factorization with sparse representation
Improved Photoacoustic-Based Oxygen Saturation Estimation With SNR-regularized Local Fluence Correction
Improved Solution to the L_0 regularized Optimization Problem via Dictionary-Reduced Initial Guess
Incomplete Multi-view Clustering via Graph regularized Matrix Factorization
Inexact Alternating Directions Algorithm for Constrained Total Variation regularized Compressive Sensing Problems, An
Infer unseen from seen: Relation regularized zero-shot visual dialog
Infrared Small Dim Target Detection Using Group regularized Principle Component Pursuit
Instance-Dependent Label-Noise Learning with Manifold-regularized Transition Matrix Estimation
Integrability-regularized phase unwrapping via sparse error correction
Intensity non-uniformity correction of aerothermal images via L_p-regularized minimization
Iterative Reweighted Tikhonov-regularized Multihypothesis Prediction Scheme for Distributed Compressive Video Sensing
Iterative Shrinkage Algorithm for Patch-Smoothness regularized Medical Image Recovery
Iterative Weighted regularized Algorithm for Improving the Resolution of Video Sequences, An
Joint Face Alignment: Rescue Bad Alignments with Good Ones by regularized Re-fitting
Joint graph regularized dictionary learning and sparse ranking for multi-modal multi-shot person re-identification
Joint image registration and super-resolution reconstruction based on regularized total least norm
Joint Reconstruction and Anomaly Detection From Compressive Hyperspectral Images Using Mahalanobis Distance-regularized Tensor RPCA
Joint regularized nearest points for image set based face recognition
JPEG Dequantization Array for regularized Decompression
JPEG Information regularized Deep Image Prior for Denoising
Kalman Filter for Spatial-Temporal regularized Correlation Filters
Kernel collaboration representation-based manifold regularized model for unconstrained face recognition
Kernel machine-based one-parameter regularized Fisher discriminant method for face recognition
Kernel regularized Data Uncertainty for Action Recognition
Kernel-based regularized-angle spectral matching for target detection in hyperspectral imagery
L0 regularized cartoon-texture decomposition model for restoring images corrupted by blur and impulse noise, An
L0 regularized logistic regression for large-scale data
L0-regularized discrete variational level set method for image segmentation, The
L0-regularized Object Representation for Visual Tracking
L1 regularized projection pursuit for additive model learning
L1-regularized Reconstruction Error as Alpha Matte
l2, 1 regularized correntropy for robust feature selection
L2,1-l1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease
Label and orthogonality regularized non-negative matrix factorization for image classification
Laplacian regularized Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery
Laplacian regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
Laplacian regularized Low-Rank Representation and Its Applications
Laplacian regularized Nonnegative Representation for Clustering and Dimensionality Reduction
Laplacian regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery
Laplacian-regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection
Lateral Strain Imaging Using Self-Supervised and Physically Inspired Constraints in Unsupervised regularized Elastography
LDMNet: Low Dimensional Manifold regularized Neural Networks
Learning a Mahalanobis distance metric via regularized LDA for scene recognition
Learning Adaptive Sparse Spatially-regularized Correlation Filters for Visual Tracking
Learning adaptive spatial-temporal regularized correlation filters for visual tracking
Learning discriminative update adaptive spatial-temporal regularized correlation filter for RGB-T tracking
Learning From Noisy Labels by regularized Estimation of Annotator Confusion
Learning Hypergraph-regularized Attribute Predictors
Learning Multi-feature Based Spatially regularized and Scale Adaptive Correlation Filters for Visual Tracking
Learning Non-Locally regularized Compressed Sensing Network With Half-Quadratic Splitting
Learning Nonlinear Functions Using regularized Greedy Forest
Learning regularized, Query-Dependent Bilinear Similarities for Large Scale Image Retrieval
Learning Spatial-Temporal regularized Correlation Filters for Visual Tracking
Learning Spatially regularized Correlation Filters for Visual Tracking
Learning spatially regularized similarity for robust visual tracking
Learning the discriminative dictionary for sparse representation by a general fisher regularized model
Line Detection in Images Through regularized Hough Transform
Linear regularized Compression of Deep Convolutional Neural Networks
Local image tagging via graph regularized joint group sparsity
Local regularized Least-Square Dimensionality Reduction
Local Spectral Similarity Preserving regularized Robust Sparse Hyperspectral Unmixing
Local-Adaptive Face Recognition via Graph-based Meta-Clustering and regularized Adaptation
Locality and Structure regularized Low Rank Representation for Hyperspectral Image Classification
Locality regularized group sparse coding for action recognition
Locality regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images
Locality-constrained and spatially regularized coding for scene categorization
Locality-regularized Linear Regression for face recognition
Locally adaptive regularized super-resolution on video with arbitrary motion
Locally controlled regularized spatiotemporal anisotropic diffusion
Locally Low-Rank regularized Video Stabilization With Motion Diversity Constraints
Log-likelihood regularized KL Divergence for Video Prediction With a 3D Convolutional Variational Recurrent Network, A
Logarithmic Norm regularized Low-Rank Factorization for Matrix and Tensor Completion
Low-rank regularized collaborative filtering for image denoising
Low-Rank regularized Deep Collaborative Matrix Factorization for Micro-Video Multi-Label Classification
Low-Rank regularized Heterogeneous Tensor Decomposition for Subspace Clustering
Low-Rank regularized Joint Sparsity for Image Denoising
Low-Rank regularized Multi-Representation Learning for Fashion Compatibility Prediction
Low-rank regularized multi-view inverse-covariance estimation for visual sentiment distribution prediction
LR3M: Robust Low-Light Enhancement via Low-Rank regularized Retinex Model
Lung segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference
L_0 regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images, The
L_0 regularized Stationary Time Estimation for Crowd Group Analysis
L_0 regularized Stationary-Time Estimation for Crowd Analysis
L_0-regularized Image Downscaling
L_0-regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond
L_1 Sparsity-regularized Attention Multiple-Instance Network for Hyperspectral Target Detection
L_1-regularized Reconstruction Model for Edge-Preserving Filtering
L_1/2 Norm and Spatial Continuity regularized Low-Rank Approximation for Moving Object Detection in Dynamic Background
L_1/2 regularized low-rank representation for hyperspectral imagery classification, An
L_1/2-regularized Deconvolution Network for the Representation and Restoration of Optical Remote Sensing Images
Manifold regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent
Manifold regularized Dynamic Network Pruning
Manifold regularized Experimental Design for Active Learning
Manifold regularized Gaussian Mixture Model for Semi-supervised Clustering
Manifold regularized Joint Transfer for Open Set Domain Adaptation
Manifold regularized Local Sparse Representation for Face Recognition
Manifold regularized matrix completion for multilabel classification
Manifold regularized Multi-view Subspace Clustering for image representation
Manifold regularized Multitask Learning for Semi-Supervised Multilabel Image Classification
Manifold regularized semi-supervised Gaussian mixture model
Manifold regularized Sparse NMF for Hyperspectral Unmixing
Manifold regularized Transfer Distance Metric Learning
Manifold-regularized Selectable Factor Extraction for Semi-supervised Image Classification
MAP and regularized constrained total least-squares image restoration
MAP regularized image reconstruction with multisensors
Mapping in a Cycle: Sinkhorn regularized Unsupervised Learning for Point Cloud Shapes
Markov clustering regularized multi-hop graph neural network
Maximum entropy regularized group collaborative representation for face recognition
Maximum mean discrepancy regularized sparse reconstruction for robust salient regions detection
Melanoma Detection Based on Mahalanobis Distance Learning and Constrained Graph regularized Nonnegative Matrix Factorization
Method for Choosing the Regularization Parameter in Generalized Tikhonov regularized Linear Inverse Problems, A
Millimeter-Wave InSAR Image Reconstruction Approach by Total Variation regularized Matrix Completion
Mind reading with regularized multinomial logistic regression
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and regularized Approach
Mitigating the Limited View Problem in Photoacoustic Tomography for a Planar Detection Geometry by regularized Iterative Reconstruction
Mixed attention and regularized COVID-19 network: An approach to detection of COVID-19 with chest x-ray images
Mixed L1 norm and L2 norm regularized sparsity adaptive matching pursuit algorithm
Mixed sparsity regularized multi-view unsupervised feature selection
MM-Based Algorithm for L_1 -regularized Least-Squares Estimation With an Application to Ground Penetrating Radar Image Reconstruction, An
Modified Newton Projection Method for TeX -regularized Least Squares Image Deblurring, A
Modified regularized Image Restoration for Postprocessing Inter-Frame Coded Images
MorphText: Deep Morphology regularized Accurate Arbitrary-Shape Scene Text Detection
Motion-Aware Graph regularized RPCA for background modeling of complex scenes
MR Image Denoising and Super-Resolution Using regularized Reverse Diffusion
Multi-Exponential Relaxometry Using L_1-regularized Iterative NNLS (MERLIN) With Application to Myelin Water Fraction Imaging
Multi-Frame Super-Resolution Combining Demons Registration and regularized Bayesian Reconstruction
multi-layer image representation using regularized residual quantization: Application to compression and denoising, A
Multi-loss regularized Deep Neural Network
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph regularized Sparse Dictionary Learning
Multi-Output regularized Projection
Multi-Pseudo regularized Label for Generated Data in Person Re-Identification
Multi-Scale regularized Deep Network for Retinal Vessel Segmentation
Multibiometric System Using Distance regularized Level Set Method and Particle Swarm Optimization
Multimodal Image Outpainting with regularized Normalized Diversification
Multipass SAR Interferometry Based on Total Variation regularized Robust Low Rank Tensor Decomposition
Multiple graph regularized nonnegative matrix factorization
Multiple Ocular Diseases Classification with Graph regularized Probabilistic Multi-label Learning
Multiple Sequential regularized Extreme Learning Machines for Single Image Super Resolution
Multiplicative-regularized FFT Twofold Subspace-Based Optimization Method for Inverse Scattering Problems
Multiresolution Parameter Choice Method for Total Variation regularized Tomography
Multispectral and Hyperspectral Image Fusion Based on regularized Coupled Non-Negative Block-Term Tensor Decomposition
Multiview clustering based on Robust and regularized Matrix Approximation
Mutual Information regularized Bayesian Framework for Multiple Image Restoration
Mutual Information regularized Feature-Level Frankenstein for Discriminative Recognition
Mutual information regularized identity-aware facial expression recognition in compressed video
Nearest regularized Subspace for Hyperspectral Classification
Nearest-regularized Subspace Classification for PolSAR Imagery Using Polarimetric Feature Vector and Spatial Information
Neither Global Nor Local: regularized Patch-Based Representation for Single Sample Per Person Face Recognition
new accelerated proximal gradient technique for regularized multitask learning framework, A
New Diffusion Variable Spatial regularized QRRLS Algorithm, A
new nonlocal variational bi-regularized image restoration model via split Bregman method, A
New regularized Approach for Contour Morphing, A
New results on multichannel regularized recovery of compressed video
New Space-Adaptive regularized Constrained Iterative Image Restoration Algorithms and Analysis of Convergence Condition, A
Non-) Rigid Motion Interpretation: A regularized Approach
Non-convex regularized self-representation for unsupervised feature selection
Non-Parametric Tomographic SAR Reconstruction via Improved regularized MUSIC
Non-rigid visible and infrared face registration via regularized Gaussian fields criterion
nonconvex regularized approach for phase retrieval, A
Nonlinear regularized Reaction-Diffusion Filters for Denoising of Images With Textures
Nonlinear, regularized, and Data-Independent Modulation for Continuously Interactive Image Processing Network, A
Nonlocal Low-Rank regularized Tensor Decomposition for Hyperspectral Image Denoising
Nonlocal Means regularized Sketched Reweighted Sparse and Low-Rank Subspace Clustering for Large Hyperspectral Images
Nonrigid Image Deformation Using Moving regularized Least Squares
Not only size matters: regularized partial matching of nonrigid shapes
Novel 3D Anisotropic Total Variation regularized Low Rank Method for Hyperspectral Image Mixed Denoising, A
Novel One-Parameter regularized Kernel Fisher Discriminant Method for Face Recognition, A
novel receptive field-regularized V-net and nodule classification network for lung nodule detection, A
Novel Tri-Training Technique for the Semi-Supervised Classification of Hyperspectral Images Based on regularized Local Discriminant Embedding Feature Extraction, A
Nuclear Norm regularized Sparse Coding
NullSpaceRDAR: regularized discriminative adaptive nullspace for object tracking
Object localization in weakly labeled data using regularized attention networks
Object Recognition With an Elastic Net-regularized Hierarchical MAX Model of the Visual Cortex
Object Saliency-Aware Dual regularized Correlation Filter for Real-Time Aerial Tracking
Object-Based Visual Saliency via Laplacian regularized Kernel Regression
Occlusion Handling with L1-regularized Sparse Reconstruction
On Landscape of Nonconvex regularized Least Squares for Sparse Support Recovery
On regularized Losses for Weakly-supervised CNN Segmentation
On regularized Reconstruction of Vector Fields
On the use of guided regularized random forests to identify crops in smallholder farm fields
One-Shot Learning of Sketch Categories with Co-regularized Sparse Coding
Optimizing regularized Cholesky Score for Order-Based Learning of Bayesian Networks
Order determination and sparsity-regularized metric learning adaptive visual tracking
Oriented distance regularized level set evolution for image segmentation
orthogonal regularized CCA learning algorithm for feature fusion, An
Out-of-distribution Detection via Frequency-regularized Generative Models
Output regularized Metric Learning with Side Information
Parameter estimation for LP regularized image deconvolution
Parameter Selection for regularized Electron Tomography Without a Reference Image
Parisar: Patch-Based Estimation and regularized Inversion for Multibaseline SAR Interferometry
Part-based visual tracking with spatially regularized correlation filters
Part-regularized Near-Duplicate Vehicle Re-Identification
Partial Multi-View Clustering using Graph regularized NMF
performance of regularized discriminant analysis versus non-parametric classifiers applied to high-dimensional image classification, The
Permuted Coordinate-Wise Optimizations Applied to Lp-regularized Image Deconvolution
Person Re-Identification by Dual-regularized KISS Metric Learning
Person Re-Identification by regularized Smoothing KISS Metric Learning
Phase based distance regularized level set for the segmentation of ultrasound kidney images
Photo Hull regularized stereo
Photo Hull regularized Stereo
Piecewise and Local Image Models for regularized Image Restoration Using Cross-Validation
Planar Segmentation from Point Clouds via Graph Laplacian regularized K-Planes
PolSAR Image Feature Extraction via Co-regularized Graph Embedding
Polynomial Preconditioners for regularized Linear Inverse Problems
Position regularized Support Vector Domain Description
PR-RRN: Pairwise-regularized Residual-Recursive Networks for Non-rigid Structure-from-Motion
Preconditioned Douglas-Rachford Algorithms for TV- and TGV-regularized Variational Imaging Problems
PREF: Predictability regularized Neural Motion Fields
Preliminary exploration of geometrical regularized SAR tomography
Prior Information Guided regularized Deep Learning for Cell Nucleus Detection
Probabilistic class structure regularized sparse representation graph for semi-supervised hyperspectral image classification
Probability density function of object contours using regional regularized stochastic watershed
Protein functional annotation refinement based on graph regularized l1-norm PCA
Proxy Step-Size Technique for regularized Optimization on the Sphere Manifold, The
Putting the Pieces Together: regularized Multi-part Shape Matching
Quantifying Motion in Video Recordings of Neonatal Seizures by regularized Optical Flow Methods
Rail transit OD-matrix completion via manifold regularized tensor factorisation
Range Estimation from Camera Blur by regularized Adaptive Identification
Real-time facial action unit intensity prediction with regularized metric learning
Real-time iterative framework of regularized image restoration and its application to video enhancement
Real-Time regularized Ultrasound Elastography
Reconstruction regularized low-rank subspace learning for cross-modal retrieval
regularized 2-D complex-log spectral analysis and subspace reliability analysis of micro-Doppler signature for UAV detection
regularized 3D Modeling from Noisy Building Reconstructions
regularized 3D morphable models
regularized active shape model for shape alignment
regularized Adaptive Algorithms-Based CIR Predictors for Time-Varying Channels in OFDM Systems
regularized adaptive classification based on image retrieval for clustered microcalcifications
regularized adaptive high-resolution image reconstruction considering inaccurate subpixel registration
regularized adaptive super-resolution using kernel estimation-based edge reconnection and kernel orientation constraints
regularized Adversarial Training for Single-Shot Virtual Try-On
regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data, A
regularized All-Pole Models for Speaker Verification Under Noisy Environments
regularized Approach for Geodesic-Based Semisupervised Multimanifold Learning, A
regularized Approach for Respiratory Motion Estimation from Short-Time Projection Data Frames In Emission Tomography, A
regularized approach for unsupervised multi-view multi-manifold learning, A
regularized Approach to Feature Selection for Face Detection, A
regularized asymmetric nonnegative matrix factorization for clustering in directed networks
regularized Auto-Associative Neural Networks for Speaker Verification
regularized Background Adaptation: A Novel Learning Rate Control Scheme for Gaussian Mixture Modeling
regularized Bayesian Metric Learning for Person Re-identification
regularized blur-assisted displacement field estimation
regularized Bundle-Adjustment to Model Heads from Image Sequences without Calibration Data
regularized CDWT optical flow applied to moving-target detection in IR imagery
regularized CNN Feature Hierarchy for Hyperspectral Image Classification
regularized color clustering in medical image database
regularized constrained total least squares image restoration
regularized constraint subspace based method for image set classification
regularized Contrast Statistic for Object Boundary Estimation: Implementation and Statistical Evaluation, A
regularized coplanar discriminant analysis for dimensionality reduction
regularized Covariance Matrix Estimation via Empirical Bayes
regularized Curvature Flow Designed for a Selective Shape Restoration, A
regularized Data Fusion Improves Image Segmentation
regularized Deep Belief Network for Image Attribute Detection
regularized Densely-Connected Pyramid Network for Salient Instance Segmentation
regularized depth from defocus
regularized dequantization for image copies compressed with different quantization parameters
regularized Diffusion Process on Bidirectional Context for Object Retrieval
regularized Discrete Optimal Transport
regularized Discrete Optimal Transport
regularized discriminant analysis and its application to face recognition
regularized discriminant analysis for face recognition
regularized Discriminant Analysis for Holistic Human Activity Recognition
regularized discriminant analysis for the small sample size problem in face recognition
regularized discriminant analysis for transformation-invariant object recognition
regularized discriminant entropy analysis
regularized Discriminative Spectral Regression Method for Heterogeneous Face Matching
regularized dynamic Boltzmann machine with Delay Pruning for unsupervised learning of temporal sequences
regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data, A
regularized estimation of Bloch-Siegert B1-maps in MRI
regularized Estimation of Flow Patterns in MR Velocimetry
regularized Estimation of Magnitude and Phase of Multi-Coil B_1 Field Via Bloch-Siegert B_1 Mapping and Coil Combination Optimizations
regularized Evolutionary Algorithm for Dynamic Neural Topology Search
regularized Feature Reconstruction for Spatio-Temporal Saliency Detection
regularized Field Map Estimation in MRI
regularized Flexible Activation Function Combination for Deep Neural Networks
regularized Framework for Feature Selection in Face Detection and Authentication, A
regularized fully convolutional networks for RGB-D semantic segmentation
regularized fuzzy c-means method for brain tissue clustering
regularized Gaussian Mixture Model for High-Dimensional Clustering
regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysis
regularized Generalized Inverse Accelerating Linearized Alternating Minimization Algorithm for Frame-Based Poissonian Image Deblurring
regularized Geometric Hulls for Bio-medical Image Segmentation
regularized Gradient Descent Training of Steered Mixture of Experts for Sparse Image Representation
regularized Gradient Kernel Anisotropic Diffusion for Better Image Filtering
regularized Hardmining loss for face recognition
regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification
regularized Image Reconstruction Algorithms for Dual-Isotope Myocardial Perfusion SPECT (MPS) Imaging Using a Cross-Tracer Prior
regularized Image Reconstruction Algorithms for Positron Emission Tomography
regularized Image Recovery in Scattering Media
regularized image restoration based on adaptively selecting parameter and operator
regularized Image Restoration in Multiresolution Spaces
regularized image restoration with singular value decomposition
regularized image up-sampling using a new observation model and the level set method
regularized Intermediate Layers Attack: Adversarial Examples With High Transferability
regularized Interpolation for Noisy Images
regularized Interpolation Using Kronecker Product for Still Images
regularized Inverse Approach to Ultrasonic Pulse-Echo Imaging, A
regularized iterative image sequence interpolation with spatially adaptive constraints
regularized Iteratively Reweighted MAD Method for Change Detection in Multi- and Hyperspectral Data, The
regularized K-SVD
regularized Kaczmarz Algorithms for Tensor Recovery
regularized Kernel Least Mean Square Algorithm with Multiple-delay Feedback
regularized Kernel Locality Preserving Discriminant Analysis for Face Recognition
regularized L1-Graph for Data Clustering
regularized Laplacian Zero Crossings as Optimal Edge Integrators
regularized learning framework in the estimation of reflectance spectra from camera responses
regularized least mean mixed norm multichannel image restoration algorithm, A
regularized Least-Squares Coding with Unlabeled Dictionary for Image-Set Based Face Recognition
regularized local metric learning for person re-identification
regularized Locality Preserving Learning of Pre-Image Problem in Kernel Principal Component Analysis
regularized Locality Preserving Projections and Its Extensions for Face Recognition
regularized logistic regression algorithm learns progressive sweep algorithm
regularized logistic regression method for change detection in multispectral data via Pathwise Coordinate optimization
regularized Loss for Weakly Supervised Single Class Semantic Segmentation
regularized Loss With Hyperparameter Estimation for Weakly Supervised Single Class Segmentation
regularized Marching Cubes Mesh
regularized margin-based conditional log-likelihood loss for prototype learning
regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
regularized Material Decomposition for K-edge Separation in Hyperspectral Computed Tomography
regularized Matrix Factorization for Multilabel Learning With Missing Labels
regularized Max Pooling for Image Categorization
regularized max-min linear discriminant analysis
regularized metric adaptation for unconstrained face verification
regularized minimum cross-entropy algorithm on mixtures of experts for time series prediction and curve detection, A
regularized Mixed Dimensionality and Density Learning in Computer Vision
regularized mixture discriminant analysis
regularized Model-Based Optimization Framework for Pan-Sharpening, A
regularized Modified Newton-Raphson Technique Applied to Electrical-Impedance Tomography
regularized motion blur-kernel estimation with adaptive sparse image prior learning
regularized motion estimation using robust entropic functionals
regularized MSBL algorithm with spatial correlation for sparse hyperspectral unmixing
regularized multi-class semi-supervised boosting
regularized Multi-Concept MIL for weakly-supervised facial behavior categorization
regularized Multi-Output Gaussian Convolution Process with Domain Adaptation
regularized Multi-view Multi-metric Learning for Action Recognition
regularized Multichannel Recovery of Compressed Video
regularized Multichannel Restoration Using Cross-Validation
regularized Multinomial Regression Method for Hyperspectral Data Classification via Pathwise Coordinate Optimization
regularized Neighborhood Component Analysis
regularized Non-local Total Variation and Application in Image Restoration
regularized online Mixture of Gaussians for background subtraction
regularized Optimal Transport Layers for Generalized Global Pooling Operations
regularized Partial Matching of Rigid Shapes
regularized patch motion estimation
regularized polychromatic reconstruction for transmission tomography
regularized polygonal approximation for analysis and interpretation of planar contour figures
regularized Primitive Graph Learning for Unified Vector Mapping
regularized Projection-Based Geometry Compression Scheme for LiDAR Point Cloud, A
regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration
regularized query classification using search click information
regularized RBF Networks for Hyperspectral Data Classification
regularized reconstruction in electrical impedance tomography using a variance uniformization constraint
regularized Reconstruction of 3d High-resolution Magnetic Resonance Images from Acquisitions of Anisotropically Degraded Resolutions
regularized Reconstruction of a Surface from its Measured Gradient Field
regularized Reconstruction of Grid System for Traditional Chinese Timber Structure Building in HBIM
regularized Reconstruction of Shapes with Statistical a priori Knowledge
regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images
regularized restoration of partial-response distortions in sporadically degraded images
regularized Restoration of Scintigraphic Images in Bayesian Frameworks
regularized Restoration Using Image Fusion for Digital Auto-Focusing
regularized Robust Coding for Face Recognition
regularized selection: A new paradigm for inverse based regularized image reconstruction techniques
regularized selection: A new paradigm for inverse based regularized image reconstruction techniques
regularized Semi-non-negative Matrix Factorization for Hashing
regularized set-to-set distance metric learning for hyperspectral image classification
regularized Shock Filters and Complex Diffusion
regularized Shortest Path Extraction
regularized Simultaneous Forward-Backward Greedy Algorithm for Sparse Unmixing of Hyperspectral Data
regularized single-image super-resolution based on progressive gradient estimation
regularized single-kernel conditional density estimation for face description
regularized Solution to Edge Detection, A
regularized Speckle Reducing Anisotropic Diffusion for Feature Characterization
regularized spectral algorithm for Hidden Markov Models with applications in computer vision, A
regularized Spectral Matched Filter for Target Detection in Hyperspectral Imagery
regularized Spectral Matched Filter for Target Recognition in Hyperspectral Imagery
regularized Subband Coding Scheme
regularized Subspace Gaussian Mixture Models for Speech Recognition
regularized tensor decomposition method with adaptive rank adjustment for Compressed-Sensed-Domain background subtraction, A
regularized tensor discriminant analysis for single trial EEG classification in BCI
regularized tessellation density estimation with bootstrap aggregation and complexity penalization
regularized topic-aware latent influence propagation in dynamic relational networks
regularized Total Least Squares Approach for Nonconvolutional Linear Inverse Problems
regularized Total Least Squares Reconstruction for Optical Tomographic Imaging Using Conjugate Gradient Method
regularized Trace Ratio Discriminant Analysis with Patch Distribution Feature for human gait recognition
regularized Transfer Boosting for Face Detection Across Spectrum
regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation
regularized trust region method for joint reconstruction of spin magnitude, T2* decay, and off-resonance field map, A
regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval
regularized uncertainty-based multi-task learning model for food analysis
regularized vector field learning with sparse approximation for mismatch removal
regularized Vector Quantization for Tokenized Image Synthesis
regularized Visibility-Based Approach to Astronomical Imaging Spectroscopy, A
regularized Volumetric Fusion Framework for Large-Scale 3D Reconstruction, A
Relation regularized Scene Graph Generation
Relational-regularized Discriminative Sparse Learning for Alzheimer's Disease Diagnosis
Relative 3D regularized B-Spline Surface Reconstruction Through Image Sequences
Relaxed sparse eigenvalue conditions for sparse estimation via non-convex regularized regression
Removal of Micro-Doppler Effect of ISAR Image Based on Laplacian regularized Nonconvex Low-Rank Representation
Retrieval-Based Face Annotation by Weak Label regularized Local Coordinate Coding
Reversion Correction and regularized Random Walk Ranking for Saliency Detection
Right-Angle Building Hypothesis Generation in regularized Urban Areas by Pose Clustering
Ring-regularized Cosine Similarity Learning for Fine-Grained Face Verification
Robust and Efficient Doubly regularized Metric Learning Approach, A
Robust and efficient regularized boosting using total Bregman divergence
Robust Bi-Stochastic Graph regularized Matrix Factorization for Data Clustering
Robust head pose estimation via Convex regularized Sparse Regression
Robust Low-Rank regularized Regression for Face Recognition with Occlusion
Robust Nuclear Norm regularized Regression for Face Recognition with Occlusion
Robust Object Tracking Using Manifold regularized Convolutional Neural Networks
Robust Prototypical Few-Shot Organ Segmentation With regularized Neural-ODEs
Robust regularized feature selection for iris recognition via linear programming
Robust regularized tomographic imaging with convex projections
Robust saliency detection via regularized random walks ranking
Robust virtual frontal face synthesis from a given pose using regularized linear regression
Robust visual tracking via nonlocal regularized multi-view sparse representation
Robust Weighting Nearest regularized Subspace Classifier for PolSAR Imagery
Roof Edge-Detection Using regularized Cubic B-Spline Fitting
RPC Estimation via L_1-Norm-regularized Least Squares (L1LS)
RSAC: regularized Subspace Approximation Classifier for Lightweight Continuous Learning
RSD-GAN: regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks
RU-Net: regularized Unrolling Network for Scene Graph Generation
Safe Feature Elimination Rule for L_1-regularized Logistic Regression, A
SAR Target Recognition via Local Sparse Representation of Multi-Manifold regularized Low-Rank Approximation
Scalable object detection by filter compression with regularized sparse coding
Search strategies for shape regularized active contour
Segmentation and analysis of brain subcortical regions using regularized multiphase level set in autistic MR images
Self Scaled regularized Robust Regression
Self-regularized prototypical network for few-shot semantic segmentation
Semantic regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis
Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation
Semi-supervised Learning via Multiple Layer Graph regularized Perception
Semi-Supervised Learning via regularized Boosting Working on Multiple Semi-Supervised Assumptions
Semi-supervised visual recognition with constrained graph regularized non negative matrix factorization
Semisupervised Dictionary Learning with Graph regularized and Active Points
Semisupervised Spatial Spectral regularized Manifold Local Scaling Cut With HGF for Dimensionality Reduction of Hyperspectral Images, A
Shakeout: A New Approach to regularized Deep Neural Network Training
Shape Prior regularized Continuous Max-Flow Approach to Image Segmentation
Shape regularized Active Contour Using Iterative Global Search and Local Optimization
Shape Restoration via a regularized Curvature Flow
Shared Manifold regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer's Disease Diagnosis
Ship Classification in Medium-Resolution SAR Images via Densely Connected Triplet CNNs Integrating Fisher Discrimination regularized Metric Learning
Should We Search for a Global Minimizer of Least Squares regularized with an L_0 Penalty to Get the Exact Solution of an under Determined Linear System?
Simultaneous bias correction and image segmentation via L0 regularized Mumford-Shah model
Simultaneous Dimensionality Reduction and Classification via Dual Embedding regularized Nonnegative Matrix Factorization
Simultaneous Learning of Affinity Matrix and Laplacian regularized Least Squares for Semi-Supervised Classification
Simultaneous Reconstruction and Anomaly Detection of Subsampled Hyperspectral Images Using l_(1/2) regularized Joint Sparse and Low-Rank Recovery
Single Image Dehazing Based on Weighted Variational regularized Model
Single Image Super-Resolution via Locally regularized Anchored Neighborhood Regression and Nonlocal Means
Sinogram restoration for low-dose X-ray computed tomography using regularized Perona-Malik equation with intuitionistic fuzzy entropy
Sketch Fewer to Recognize More by Learning a Co-regularized Sparse Representation
Smoothing Criteria for regularized Matrix Inversion of Bistatic Radar Echoes
Smoothing group L1/2 regularized discriminative broad learning system for classification and regression
Smoothing of Outliers in Image Restoration by Minimizing regularized Objective Functions with Nonsmooth Data-fidelity Terms
Social Anchor-Unit Graph regularized Tensor Completion for Large-Scale Image Retagging
Solution of a Bivariate L_1 regularized Problem
Sparse Gradient regularized Deep Retinex Network for Robust Low-Light Image Enhancement
Sparse Graph regularized Mesh Color Edit Propagation
Sparse Multi-regularized Shearlet-Network Using Convex Relaxation for Face Recognition
Sparse norm regularized attribute selection for graph neural networks
Sparse regularized low-rank tensor regression with applications in genomic data analysis
sparse regularized nuclear norm based matrix regression for face recognition with contiguous occlusion, A
Sparse representation of cast shadows via L1-regularized least squares
Sparse Spatio-Temporal Representation With Adaptive regularized Dictionary Learning for Low Bit-Rate Video Coding
Sparse Tikhonov-regularized Hashing for Multi-Modal Learning
Spatial and Class Structure regularized Sparse Representation Graph for Semi-Supervised Hyperspectral Image Classification
Spatial Group Sparsity regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing
Spatial-scale-regularized blur kernel estimation for blind image deblurring
Spatial-Spectral Graph regularized Kernel Sparse Representation for Hyperspectral Image Classification
Spatial-Spectral Total Variation regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising
Spatially regularized active diffusion learning for high-dimensional images
Spatially regularized Common Spatial Patterns for EEG Classification
Spatially regularized Compressed Sensing for High Angular Resolution Diffusion Imaging
Spatially regularized Fusion of Multiresolution Digital Surface Models
Spatially regularized Low Rank Tensor Optimization for Visual Data Completion
Spatially regularized Multi-Exponential Transverse Relaxation Times Estimation from Magnitude Magnetic Resonance Images Under Rician Noise
Spatially-adaptive regularized pel-recursive motion estimation based on cross-validation
Spatially-regularized Features for Vehicle Re-Identification: An Explanation of Where Deep Models Should Focus
Spatio-temporally regularized reconstruction of gated SPECT myocardial image sequences
Specification of the Observation Model for regularized Image Up-Sampling
Spectral Regression for Efficient regularized Subspace Learning
Spectral-Smoothness and Non-Local Self-Similarity regularized Subspace Low-Rank Learning Method for Hyperspectral Mixed Denoising
Spectral-Spatial Kernel regularized for Hyperspectral Image Denoising
Spectrally-Spatially regularized Low-Rank and Sparse Decomposition: A Novel Method for Change Detection in Multitemporal Hyperspectral Images
Speeding Up Graph regularized Sparse Coding by Dual Gradient Ascent
Split Bregman Method for L1-regularized Problems, The
Square Loss based regularized LDA for face recognition using image sets
SR-clustering: Semantic regularized clustering for egocentric photo streams segmentation
SRUN: Spectral regularized Unsupervised Networks for Hyperspectral Target Detection
Stability of image restoration by minimizing regularized objective functions
State-regularized Recurrent Neural Networks to Extract Automata and Explain Predictions
Stochastic Decorrelation Constraint regularized Auto-Encoder for Visual Recognition
Structural Prior Driven regularized Deep Learning for Sonar Image Classification
Structurally regularized Convolutional Neural Network for Image Classification Using Wavelet-Based Subband Decomposition, A
Structure-regularized Compressive Tracking With Online Data-Driven Sampling
Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis
study of regularized Gaussian classifier in high-dimension small sample set case based on MDL principle with application to spectrum recognition, A
study on regularized Weighted Least Square Support Vector Classifier, A
Subspace Clustering via Variance regularized Ridge Regression
SVM vs regularized least squares classification
Taxonomy-regularized Semantic Deep Convolutional Neural Networks
Template regularized sparse coding for face verification
Temporal regularized Spatial Attention for Video-Based Person Re-Identification
Tensor Laplacian regularized Low-Rank Representation for Non-Uniformly Distributed Data Subspace Clustering
Test Time Adaptation with regularized Loss for Weakly Supervised Salient Object Detection
TGV regularized Wavelet Based Zooming Model, A
Theoretical analysis of some regularized image denoising methods
Thick Cloud Removal of Remote Sensing Images Using Temporal Smoothness and Sparsity regularized Tensor Optimization
Total Variation and Sparsity regularized Decomposition Model With Union Dictionary for Hyperspectral Anomaly Detection
Total variation constrained graph regularized NMF for medical image registration
Total Variation Constrained Graph-regularized Convex Non-Negative Matrix Factorization for Data Representation
Total Variation regularized Collaborative Representation Clustering With a Locally Adaptive Dictionary for Hyperspectral Imagery
Total Variation regularized Reweighted Low-rank Tensor Completion for Color Image Inpainting
Total Variation regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing
Total Variation regularized RPCA for Irregularly Moving Object Detection Under Dynamic Background
Total Variation regularized Tensor RPCA for Background Subtraction From Compressive Measurements
Total variation-wavelet-curvelet regularized optimization for image restoration
Total-variation regularized motion estimation in a periodic image sequence
Total-variation regularized U-Net for wildfire burned area mapping based on Sentinel-1 C-Band SAR backscattering data
Total-Variation-regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration
Towards Off-the-grid Algorithms for Total Variation regularized Inverse Problems
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally regularized Deep Clustering
Traffic Flow Modeling With Gradual Physics regularized Learning
TRBACF: Learning temporal regularized correlation filters for high performance online visual object tracking
Tripartite Graph regularized Latent Low-Rank Representation for Fashion Compatibility Prediction
Truncated edges estimation using MLP neural nets applied to regularized image restoration
TV-regularized generation of planar images from omnicams
TVp regularized Mumford-Shah Model for Image Labeling and Segmentation, The
Two-Stage Image Segmentation Method Using Euler's Elastica regularized Mumford-Shah Model, A
Two-stage modality-graphs regularized manifold ranking for RGB-T tracking
Two-Stage Peer-regularized Feature Recombination for Arbitrary Image Style Transfer
Ultrasound Elastography Based on Multiscale Estimations of regularized Displacement Fields
Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially regularized Geometric Assignment
Unsupervised Domain Adaptation Using regularized Hyper-Graph Matching
Unsupervised Domain Adaptation via regularized Conditional Alignment
Unsupervised Domain Adaptation via Structurally regularized Deep Clustering
Unsupervised Domain Adaptation with regularized Domain Instance Denoising
Unsupervised Domain Adaptation with regularized Optimal Transport for Multimodal 2D+3D Facial Expression Recognition
Unsupervised feature selection by manifold regularized self-representation
Unsupervised feature selection by regularized self-representation
Unsupervised Feature Selection via Graph regularized Nonnegative CP Decomposition
Unsupervised Label Learning on Manifolds by Spatially regularized Geometric Assignment
Unsupervised Labeling by Geometric and Spatially regularized Self-assignment
Unsupervised segmentation of low depth of field images based on L0 regularized matting model
Unsupervised Video Segmentation Algorithms Based On Flexibly regularized Mixture Models
Variational regularized Transmission Refinement for Image Dehazing
Video error concealment via total variation regularized matrix completion
Video frame interpolation using 3-D total variation regularized completion
Video Matting via Consistency-regularized Graph Neural Networks
View-Invariant Gait Representation Using Joint Bayesian regularized Non-negative Matrix Factorization
Visual data denoising with a unified Schatten-p norm and lq norm regularized principal component pursuit
Visual object tracking via a manifold regularized discriminative dual dictionary model
Visual tracking using spatio-temporally nonlocally regularized correlation filter
Visual Tracking via Adaptive Spatially-regularized Correlation Filters
Visual tracking via Graph regularized Kernel Correlation Filer and Multi-Memory Voting
Visual tracking via manifold regularized local structured sparse representation model
Visual Tracking Via Temporally-regularized Context-Aware Correlation Filters
Volume preserving image segmentation with entropy regularized optimal transport and its applications in deep learning
Wavelet-Based 2-Parameter regularized Discriminant Analysis for Face Recognition
wavelet-based multiresolution regularized least squares reconstruction approach for optical tomography, A
Wavelet-Domain regularized Deconvolution for Ill-Conditioned Systems
Weighted graph regularized sparse brain network construction for MCI identification
Weighted regularized ASM for face alignment
Weighted regularized Laplacian Interpolation for Consolidation of Highly-Incomplete Time Varying Point Clouds
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Adaptive Margin Diversity regularizer for Handling Data Imbalance in Zero-Shot SBIR
Adaptive regularizer learning for low rank approximation with application to image denoising
Alternating Direction Method of Multiplier for Tomography With Nonlocal regularizers
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin regularizer
Bias-Variance Tradeoff of Graph Laplacian regularizer
Boosting Standard Classification Architectures Through a Ranking regularizer
Boosting the Performance of Weakly-Supervised 3d Human Pose Estimators With Pose Prior regularizers
Color Image Restoration Using Nonlocal Mumford-Shah regularizers
Compressive Sampling based Single-Image Super-resolution Reconstruction by dual-sparsity and Non-local Similarity regularizer
Convex optimization for multi-class image labeling with a novel family of total variation based regularizers
Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing regularizers
Duality-Induced regularizer for Semantic Matching Knowledge Graph Embeddings
Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics regularizer
Embedding regularizer Learning for Multi-View Semi-Supervised Classification
Expert regularizers for Task Specific Processing
Fast & Robust Image Interpolation Using Gradient Graph Laplacian regularizer
Global regularizer and Temporal-Aware Cross-Entropy for Skeleton-Based Early Action Recognition
Group Self-Paced Learning With a Time-Varying regularizer for Unsupervised Change Detection
Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary regularizers
iterative algorithm for linear inverse problems with compound regularizers, An
Joint MR-PET Reconstruction Using a Multi-Channel Image regularizer
Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness
Large-Scale Low-Rank Matrix Learning with Nonconvex regularizers
Learning biased distance metrics with diversity regularizer for person re-identification
Learning Deep Sparse regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification
Learning Sparsity-Promoting regularizers Using Bilevel Optimization
Learning Weakly Convex regularizers for Convergent Image-Reconstruction Algorithms
Low rank matrix completion using truncated nuclear norm and sparse regularizer
Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer
Low-Rank Matrix Factorization With Adaptive Graph regularizer
Low-rank matrix factorization with multiple Hypergraph regularizer
Metric Learning With HORDE: High-Order regularizer for Deep Embeddings
Model-Agnostic Temporal regularizer for Object Localization Using Motion Fields
Modeling Segmentation Via Geometric Deformable regularizers, Pde And Level Sets In Still And Motion Imagery: A Revisit
MSR-HARDI: Accelerated Reconstruction of HARDI Data Using Multiple Sparsity regularizers
multi-frame super-resolution method based on the variable-exponent nonlinear diffusion regularizer, A
Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with regularizer of Shape Representation
Mumford-Shah regularizer with Contextual Feedback
Mumford-Shah regularizer with Spatial Coherence
Needle map recovery using robust regularizers
new fast multiphase image segmentation algorithm based on nonconvex regularizer, A
New insights in Huber and TV-like regularizers in microwave imaging
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware regularizer
Non-negative Sparse Coding with regularizer for Image Classification
Nonconvex sparse regularizer based speckle noise removal
Nonlocal Adaptive Biharmonic regularizer for Image Restoration
Nonlocal Mumford-Shah regularizers for Color Image Restoration
Novel Consistency regularizer for Meshless Nonrigid Image Registration, A
Ocular Disease Recognition via Differential Privacy and Unsupervised Domain regularizer
Orthogonal regularizers in deep learning: How to handle rectangular matrices?
Patch-Level regularizer for Convolutional Neural Network
PET Image Reconstruction With Kernel and Kernel Space Composite regularizer
Primal-Dual convex optimization in large deformation diffeomorphic registration with robust regularizers
Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth regularizer, A
Propagation regularizer for Semi-supervised Learning with Extremely Scarce Labeled Samples
Quantitative microwave tomography from sparse measurements using a robust huber regularizer
regularizer based on Euler characteristic for retinal blood vessel segmentation
Retinex-based Image Denoising / Contrast Enhancement Using Gradient Graph Laplacian regularizer
Revisiting the regularizers in Blind Image Deblurring With a New One
Robust Recovery of Corrupted Low-Rank Matrix by Implicit regularizers
Robust regularizer for Multiphase CT, A
Sparse CapsNet with explicit regularizer
Spectral Clustering with a Convex regularizer on Millions of Images
SSP-regularizer: A Star Shape Prior Based Regularizer for Vessel Lumen Segmentation in OCT Images
SSP-regularizer: A Star Shape Prior Based Regularizer for Vessel Lumen Segmentation in OCT Images
Stochastic Gradient Perturbation: An Implicit regularizer for Person Re-Identification
Temporal regularizer for Large Optical Flow Estimation, A
Theoretical Framework for Convex regularizers in PDE-Based Computation of Image Motion, A
Thin-Plate as a regularizer in Bayesian SPECT Reconstruction, The
Total Variation Based regularizer Promoting Piecewise-Lipschitz Reconstructions, A
Towards Accurate Network Quantization with Equivalent Smooth regularizer
Universal regularizers for Robust Sparse Coding and Modeling
Unpaired Learning for Deep Image Deraining with Rain Direction regularizer
You Do Not Need Additional Priors or regularizers in Retinex-Based Low-Light Image Enhancement
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Big in Japan: regularizing Networks for Solving Inverse Problems
Coherence Enhancing Penalty for Diffusion MRI: regularizing Property and Discrete Approximation, A
Decomposing and regularizing sparse/non-sparse components for motion field estimation
DiffusioNeRF: regularizing Neural Radiance Fields with Denoising Diffusion Models
DisturbLabel: regularizing CNN on the Loss Layer
Enhancing Adversarial Robustness for Image Classification By regularizing Class Level Feature Distribution
FaceNet2ExpNet: regularizing a Deep Face Recognition Net for Expression Recognition
Family of regularizing Kernels for Averaging in the Presence of Template Jitter
Generalized Sinkhorn Iterations for regularizing Inverse Problems Using Optimal Mass Transport
Global regularizing Flows With Topology Preservation for Active Contours and Polygons
High order structural image decomposition by using non-linear and non-convex regularizing objectives
Imbalanced regression for intensity series of pain expression from videos by regularizing spatio-temporal face nets
Intensity-Based Bi- And Trinocular Stereo Vision: Bayesian Decisions and regularizing Assumptions
K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency
Kinshipgan: Synthesizing of Kinship Faces from Family Photos by regularizing a Deep Face Network
Learning and regularizing Motion Models for Enhancing Particle Filter-Based Target Tracking
Learning Proximal Operators: Using Denoising Networks for regularizing Inverse Imaging Problems
Method for regularizing Buildings through Combining Skeleton Lines and Minkowski Addition, A
Network Connectivity via Inference over Curvature-regularizing Line Graphs
P3SGD: Patient Privacy Preserving SGD for regularizing Deep CNNs in Pathological Image Classification
PnP-ReG: Learned regularizing Gradient for Plug-and-Play Gradient Descent
RegNeRF: regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
regularizing 3D medial axis using medial scaffold transforms
regularizing a Set of Unstructured 3D Points from a Sequence of Stereo Images
regularizing Activation Distribution for Training Binarized Deep Networks
regularizing AdaBoost with validation sets of increasing size
regularizing autoencoders with wavelet transform for sequence anomaly detection
regularizing Class-Wise Predictions via Self-Knowledge Distillation
regularizing CNN Transfer Learning With Randomised Regression
regularizing Deep Networks by Modeling and Predicting Label Structure
regularizing deep networks with label geometry for accurate object localization on small training datasets
regularizing Deep Networks With Semantic Data Augmentation
regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning
regularizing face verification nets for pain intensity regression
regularizing Flows for Constrained Matrix-Valued Images
regularizing Flows over Lie Groups
regularizing Generative Adversarial Networks under Limited Data
regularizing Image Intensity Transformations Using the Wasserstein Metric
regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action Recognition
regularizing max-margin exemplars by reconstruction and generative models
regularizing Meta-learning via Gradient Dropout
regularizing method for the determination of the backscatter cross section in lidar data
regularizing Multilayer Perceptron for Robustness
regularizing multiple kernel learning using response surface methodology
regularizing Neural Networks via Adversarial Model Perturbation
regularizing Neural Networks via Minimizing Hyperspherical Energy
regularizing Neural Radiance Fields from Sparse RGB-D Inputs
regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark
regularizing optical-flow computation using tensor theory and complex analysis
regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds
regularizing Phase Based Stereo
regularizing RNNs for Caption Generation by Reconstructing the Past with the Present
regularizing Second-Order Influences for Continual Learning
regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models
regularizing Vector Embedding in Bottom-Up Human Pose Estimation
regularizing Visual Semantic Embedding With Contrastive Learning for Image-Text Matching
Reve: regularizing Deep Learning with Variational Entropy Bound
RICO: regularizing the Unobservable for Indoor Compositional Reconstruction
RMP-Loss: regularizing Membrane Potential Distribution for Spiking Neural Networks
Stitch in Time Saves Nine: A Train-Time regularizing Loss for Improved Neural Network Calibration, A
SwapMix: Diagnosing and regularizing the Over-Reliance on Visual Context in Visual Question Answering
t-vMF Similarity For regularizing Intra-Class Feature Distribution
Towards Statistical Image Restoration: Perceptual Grouping as regularizing Operators
Transferring and regularizing Prediction for Semantic Segmentation
Unsupervised Domain Adaptation by regularizing Softmax Activation
Using Multiscale Spectra in regularizing Covariance Matrices for Hyperspectral Image Classification
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Automated Smoothing of Image and Other regularly Spaced Data
Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction
Deep Learning for regularly Missing Data Reconstruction
Detection of regularly Spaced Targets in Small-Footprint LIDAR Data: Research Issues for Consideration
Development of a Parcel-Level Land Boundary Extraction Algorithm for Aerial Imagery of regularly Arranged Agricultural Areas
Discrepancy Norm as Fitness Function for Defect Detection on regularly Textured Surfaces
FRAME-RATE: Frame-rate Applications, Methods and Experiences with regularly Available Technology and Equipment
MR image reconstruction of a regularly undersampled signal using quadratic phase scrambling
Novel Consistency Check for Fast Recursive Reconstruction of Non-regularly Sampled Video Data
regularly Truncated M-Estimators for Learning With Noisy Labels
Structural Analyzer for regularly Arranged Textures, A
Structural Description of regularly Arranged Textures, A
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_regulate_
Elevation and Distribution of Freshwater and Sewage Canals regulate Canopy Structure and Differentiate Hurricane Damages to a Basin Mangrove Forest
Reduction of Map Information regulates Visual Attention without Affecting Route Recognition Performance

_regulated_
AutoCoMet: Smart Neural Architecture Search via Co-regulated Shaping Reinforcement
Boundary regulated Network for Accurate Roof Segmentation and Outline Extraction, A
CoBi: Pattern Based Co-regulated Biclustering of Gene Expression Data
Components regulated Generation of Handwritten Chinese Text-lines in Arbitrary Length
Contrastive-regulated CNN in the Complex Domain: A Method to Learn Physical Scattering Signatures From Flexible PolSAR Images
Customer experience in a regulated telecom market from mobile service users perspective
Fast Count-regulated OSEM Reconstruction With Adaptive Resolution Recovery
gamma-signal-regulated connected components labeling algorithm, A
Gradient-regulated Meta-Prompt Learning for Generalizable Vision-Language Models
Identifying Emerging Reservoirs along regulated Rivers Using Multi-Source Remote Sensing Observations
Markov random field-regulated Pitma-Yor process prior for spatially constrained data clustering, A
modified regulated morphological corner detector, A
Monitoring water stress and fruit quality in an orange orchard under regulated deficit irrigation using narrow-band structural and physiological remote sensing indices
New Urban Index for Expressing Inner-City Patterns Based on MODIS LST and EVI regulated DMSP/OLS NTL, A
regulated complexity scalable MPEG-2 video decoding for media processors
regulated Ecosystem Services Trade-Offs: Synergy Research and Driver Identification in the Vegetation Restoration Area of the Middle Stream of the Yellow River
regulated morphological operations
Robust RGB-T Tracking via Consistency regulated Scene Perception
Self-regulated Feature Learning via Teacher-free Feature Distillation
Self-regulated Learning and Online Learning: A Systematic Review
Self-regulated Learning for Egocentric Video Activity Anticipation
Semi-Supervised Hyperspectral Image Classification via Spatial-regulated Self-Training
Shape-regulated Particle Filtering for Tracking Non-Rigid Objects
Summer Extreme Dust Activity in the Taklimakan Desert regulated by the South Asian High
Urban-rural gradient in vegetation phenology changes of over 1500 cities across China jointly regulated by urbanization and climate change
Video Object Co-segmentation by regulated Maximum Weight Cliques
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Assessment of Atmospheric and Meteorological Factors regulating Red Sea Phytoplankton Growth, An
Assessment of Restoration Degree and Restoration Potential of Key Ecosystem-regulating Services in the Three-River Headwaters Region Based on Vegetation Coverage
Biophysical Effects of Temperate Forests in regulating Regional Temperature and Precipitation Pattern across Northeast China
Evaluating Responses of Temperature regulating Service to Landscape Pattern Based on Source-Sink Theory
Grain for Green Program Enhanced Synergies between Ecosystem regulating Services in Loess Plateau, China, The
Identifying brain regions contributing to Alzheimer's disease using self regulating particle swarm optimization
Self-regulating Multi-Clutter Suppression Framework for Small Aperture HFSWR Systems, A
Self-regulating Prompts: Foundational Model Adaptation without Forgetting
Spatial Distribution of Diffuse Attenuation of Photosynthetic Active Radiation and Its Main regulating Factors in Inland Waters of Northeast China
Terrain Modeling with Multifractional Brownian Motion and Self-regulating Processes
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5 Conclusion from an Automation Expert with Firsthand Knowledge of Highway regulation What Self-Driving Cars Tell Us About AI Risks: Missy Cummings
Adaptive Camera regulation for Investigation of Real Scenes
Adaptive regulation of CCD Camera in Eye Gaze Tracking System
Adversarial Training of Anti-Distilled Neural Network with Semantic regulation of Class Confidence
Affective Automotive User Interfaces-Reviewing the State of Driver Affect Research and Emotion regulation in the Car
Artificial Intelligence in Railway Transport: Taxonomy, regulations, and Applications
Assessing the Responses of Aviation-Related SO2 and NO2 Emissions to COVID-19 Lockdown regulations in South Africa
Automatic parameter regulation of perceptual systems
Blind JPEG Compression Artifacts Removal by Integrating Channel regulation With Exit Strategy
Building gene networks with time-delayed regulations
Challenges in Evaluating Technological Interventions for Affect regulation
Climatic regulation of Vegetation Phenology in Protected Areas along Western South America
Complexity regulation for real-time video encoding
Computational View of the Emotional regulation of Disgust using Multimodal Sensors, A
Cooperative regulation and Trading of Emissions Using Plug-in Hybrid Vehicles
Cortical Network of Emotion regulation: Insights From Advanced EEG-fMRI Integration Analysis, The
Decoupled Multi-task Learning with Cyclical Self-regulation for Face Parsing
Displaying the Driving State of Automated Vehicles to Other Road Users: An International, Virtual Reality-Based Study as a First Step for the Harmonized regulations of Novel Signaling Devices
Distributed belief revision for adaptive image processing regulation
Distributed output regulation design for multi-agent systems in output-feedback form
Distributed Probabilistic System for Adaptive regulation of Image-Processing Parameters, A
Dynamic Data regulation for Fixed Vehicle Detectors
EEG-Based Online regulation of Difficulty in Simulated Flying
Efficient Real-Time Control Design for Automatic Train regulation of Metro Loop Lines
ER-Chat: A Text-to-Text Open-Domain Dialogue Framework for Emotion regulation
Error regulation strategies for Model Based visual servoing tasks: Application to autonomous object grasping with Nao robot
Escape from the Dark Jungle: A 3D Audio Game for Emotion regulation
Event-Triggered Adaptive Fuzzy Setpoint regulation of Surface Vessels With Unmeasured Velocities Under Thruster Saturation Constraints
Event-Triggered Predictive Control for Automatic Train regulation and Passenger Flow in Metro Rail Systems
Extracting gene regulation information for cancer classification
Fairness and the Need for regulation of AI in Medicine, Teaching, and Recruiting
GAN-Based Pose-Aware regulation for Video-Based Person Re-Identification
Generalization of c-means for identifying non-disjoint clusters with overlap regulation
Generic Model to Exploit Urban regulation Knowledge, A
Global robust output regulation for nonlinear multi-agent systems in strict feedback form
Homography-based visual servo regulation of mobile robots
Human action recognition based on sparse representation induced by L1/L2 regulations
Image Covert Communication With Block regulation
Integrated Control Model for Headway regulation and Energy Saving in Urban Rail Transit, An
Intelligent Cockpit for Intelligent Vehicle in Metaverse: A Case Study of Empathetic Auditory regulation of Human Emotion
Introduction to the special issue on robustness, security and regulation aspects in current biometric systems (RSRA-BS)
Learning Based Intelligent Train regulation Method With Dynamic Prediction for the Metro Passenger Flow, A
Longitudinal Observational Evidence of the Impact of Emotion regulation Strategies on Affective Expression
Longitudinal Velocity regulation of UGVs: A Composite Control Approach for Acceleration and Deceleration
Metro Traffic regulation by Adaptive Optimal Control
Modelling Land-use regulation Conflicts with 3d Components to Support Issuing A Building Permit
Multi-Criteria Analysis of UAVS regulations in 6 Countries Using the Analytical Hierarchical Process and Expert Knowledge
Neurofeedback Training With an Electroencephalogram-Based Brain-Computer Interface Enhances Emotion regulation
Online regulation of High Speed Train Trajectory Control Based on T-S Fuzzy Bilinear Model
Parking regulation enforcement system
Perception-and-regulation Network for Salient Object Detection
Phenology Plays an Important Role in the regulation of Terrestrial Ecosystem Water-Use Efficiency in the Northern Hemisphere
PID-based regulation of background dynamics for foreground segmentation
Point Cloud Semantic Segmentation Method for the Ming and Qing Dynasties' Official-Style Architecture Roof Considering the Construction regulations, The
Power-level regulation of the MHTGR based upon iterative damping assignment
Privacy and Civilian Drone Use: The Need for Further regulation
Rate and buffer regulation in a video encoder for seamless splicing
Recognition of Intersection Traffic regulations from Crowdsourced Data
regulation of Evapotranspiration in Different Precipitation Zones and Its Application in High-Temperature and Drought Monitoring
regulation probability method for gene selection
regulations in the field of Geo-Information
Remote Sensing Images Stripe Noise Removal by Double Sparse regulation and Region Separation
Research into the Optimal regulation of the Groundwater Table and Quality in the Southern Plain of Beijing Using Geographic Information Systems Data and Machine Learning Algorithms
Review of the Current State of UAV regulations
Robust Control for Dynamic Train regulation in Fully Automatic Operation System Under Uncertain Wireless Transmissions
Robust shifting control of a motor-transmission integrated system considering anti-jerking and speed regulation for electric vehicles
Self-regulation for Semantic Segmentation
Towards Automated regulation of Jacobaea Vulgaris in Grassland using Deep Neural Networks
Video super-resolution with registration-reliability regulation and adaptive total variation
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Design and Modeling of the Generally Adopted Progressive Image Transmission regulator and Its Application
Optimizing Signal Timing Control for Large Urban Traffic Networks Using an Adaptive Linear Quadratic regulator Control Strategy
Plug-and-Play regulators for Image-Text Matching
regulators seek ways to down rogue drones: Growing antidrone industry offers radar, remote ID, and other tools
salient object detection framework using linear quadratic regulator controller, A
Traffic regulator Detection and Identification from Crowdsourced Data: A Systematic Literature Review
Vector Control Technology of Two-Phase Hybrid Stepping Motor Based on Current Loop PI regulator
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Identification of Gene regulatory Pathways: A Regularization Method
Least Squares Fitting-Based Modeling of Gene regulatory Sub-networks, A
Machine Learning Approach for Identification of miRNA-mRNA regulatory Modules in Ovarian Cancer
Radar Spectrum Engineering and Management: Technical and regulatory Issues
regulatory Effect Evaluation of Warming and Cooling Factors on Urban Land Surface Temperature Based on Multi-Source Satellite Data
Visualization of Gene regulatory Networks

Index for "r"


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