Index for minim

_	minima	_
Baseline Image Classification Approach Using Local	minima	Selection
Building Roadmaps of Local	minima	of Visual Models
Building Roadmaps of	minima	and Transitions in Visual Models
effect of modified markov random fields on the local	minima	occurrence in microwave imaging, The
Escaping local	minima	through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
Fast stereo vision for mobile robots by global	minima	of cost functions
Filtered Component Analysis to Increase Robustness to Local	minima	in Appearance Models
Generalization Matters: Loss	minima	Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
Identification of Fringe	minima	in Electronic Speckle Pattern Images
Improving Generalization in Federated Learning by Seeking Flat	minima
Jumping through Local	minima	: Quantization in the Loss Landscape of Vision Transformers
Learning image alignment without local	minima	for face detection and tracking
Local	minima	found in the subparameter space can be effective for ensembles of deep convolutional neural networks
Local	minima	free Parameterized Appearance Models
Local or Global	minima	: Flexible Dual-Front Active Contours
Mesh Meaningful Segmentation Algorithm Using Skeleton and	minima	-Rule, A
Neighborhood Region Smoothing Regularization for Finding Flat	minima	in Deep Neural Networks
Noise Suppression by	minima	Controlled Recursive Averaging for SSVEP-Based BCIs With Single Channel
Non-convex Rank/Sparsity Regularization and Local	minima
On the Distribution of	minima	in Intrinsic-Metric Rotation Averaging
On the problem of local	minima	in backpropagation
Optimal instantaneous rigid motion estimation insensitive to local	minima
Pareto Meets Huber: Efficiently Avoiding Poor	minima	in Robust Estimation
Relating Adversarially Robust Generalization to Flat	minima
study on regression spline based local	minima	approach for gaussian noise reduction in images, A
Toward Global Minimum through Combined Local	minima
Toward global solution to MAP image restoration and segmentation: Using Common Structure of Local	minima
Verifying global	minima	for L2 minimization problems
Verifying Global	minima	for L_2 Minimization Problems in Multiple View Geometry

29 for minima

_	minimal	_
3-D Characterization of Urban Areas Using High-Resolution Polarimetric SAR Tomographic Techniques and a	minimal	Number of Acquisitions
3-D Modeling from Concept Sketches of Human Characters with	minimal	User Interaction
5-Point	minimal	Solver for Event Camera Relative Motion Estimation, A
Absolute Pose and Structure from Motion for Surfaces of Revolution:	minimal	Problems Using Apparent Contours
Accurate Matching of 2-Dimensional Shapes Using the	minimal	Tolerance Zone Error
Algorithm for Computing the Number of the	minimal	Paths in Digital Images, An
Aligning a Model to an Image Using	minimal	Information
Anisotropic	minimal	Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo
Anisotropic tubular	minimal	path model with fast marching front freezing scheme
Annotating Handwritten Characters with	minimal	Human Involvement in a Semi-supervised Learning Strategy
Archival Aerial Images Georeferencing: A Geostatistically-Based Approach for Improving Orthophoto Accuracy with	minimal	Number of Ground Control Points
Associating Minutiae between Distorted Fingerprints Using	minimal	Spanning Tree
Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on	minimal	Path Selection
Automatic facial landmark labeling with	minimal	supervision
Automatic Generator of	minimal	Problem Solvers
Automatic Plane of	minimal	Hiatal Dimensions Extraction From 3D Female Pelvic Floor Ultrasound
Automatic segmentation and classification of lung tumour using advance sequential	minimal	optimisation techniques
Beyond accuracy: Learning selective Bayesian classifiers with	minimal	test cost
Beyond Grobner Bases: Basis Selection for	minimal	Solvers
Beyond Group: Multiple Person Tracking via	minimal	Topology-Energy-Variation
Blind deblurring with fractional-order calculus and local	minimal	pixel prior
Building 3D Generative Models from	minimal	Data
Calibration of Stereo 3D Scanners with	minimal	Number of Views Using Plane Targets and Vanishing Points
Camera distortion self-calibration using the plumb-line constraint and	minimal	Hough entropy
CAMETRON Lecture Recording System: High Quality Video Recording and Editing with	minimal	Human Supervision, The
Certifiably Globally Optimal Solution to the Non-	minimal	Relative Pose Problem, A
Circular Acquisition to Define the	minimal	Set of Projections for Optimal MRI Reconstruction
Circular Laser/Camera-Based Attitude and Altitude Estimation:	minimal	and Robust Solutions
Circular motion geometry by	minimal	2 points in 4 images
Circular Motion Geometry Using	minimal	Data
Circumscribing a Convex Polygon by a Polygon of Fewer Sides with	minimal	Area Addition
Classification based on symmetric maximized	minimal	distance in subspace (SMMS)
Classifying and Solving	minimal	Structure and Motion Problems with Missing Data
Clever Elimination Strategy for Efficient	minimal	Solvers, A
Closed-Form Solutions to	minimal	Absolute Pose Problems with Known Vertical Direction
Clustering of Symbols Using	minimal	Description Length
Coding of Shape Contours Using a	minimal	Set of Control Points
Color edge detection using the	minimal	spanning tree
Color Image Segmentation by	minimal	Surface Smoothing
Combining Texture and Shape Cues for Object Recognition with	minimal	Supervision
Computing Exact Discrete	minimal	Surfaces: Extending and Solving the Shortest Path Problem in 3D with Application to Segmentation
Computing geodesics and	minimal	surfaces via graph cuts
Computing Homology Generators for Volumes Using	minimal	Generalized Maps
Computing	minimal	deformations: application to construction of statistical shape models
Computing	minimal	Distance on Polyhedral Surfaces
Computing	minimal	Surfaces via Level Set Curvature Flows
Computing stable resultant-based	minimal	solvers by hiding a variable
Conservative Visual Learning for Object Detection with	minimal	Hand Labeling Effort
Continuous Max-Flow Approach to	minimal	Partitions with Label Cost Prior, A
Contour to Rectangular Grid Conversion Using	minimal	Curvature
Contour tracking by	minimal	cost path approach. application to cephalometry
Convex Approach to	minimal	Partitions, A
convex relaxation approach for computing	minimal	partitions, A
Convex Relaxations for Consensus and Non-	minimal	Problems in 3D Vision
Counterexamples to a	minimal	Circumscription Algorithm
Counting	minimal	18-Paths in 3D Digital Space
Counting	minimal	Paths in 3D Digital Geometry
Counting	minimal	Paths in Digital Geometry
Covariance estimation for	minimal	geometry solvers via scaled unscented transformation
Crowd Counting with	minimal	Data Using Generative Adversarial Networks for Multiple Target Regression
Curve-Like Structure Extraction Using	minimal	Path Propagation With Backtracking
DatasetGAN: Efficient Labeled Data Factory with	minimal	Human Effort
Deep Hashing with	minimal	-Distance-Separated Hash Centers
Dense Image Registration and Deformable Surface Reconstruction in Presence of Occlusions and	minimal	Texture
Designing the	minimal	Structure of Hidden Markov Model by Bisimulation
Detecting Curves with Unknown Endpoints and Arbitrary Topology Using	minimal	Paths
Detection of Curves with Unknown Endpoints using	minimal	Path Techniques
Development of a	minimal	-Intervention-Based Admittance Control Strategy for Upper Extremity Rehabilitation Exoskeleton
Dimensionality Reduction by	minimal	Distance Maximization
Direct Solution to the	minimal	Generalized Pose
Direct Solutions for Computing Cylinders from	minimal	Sets of 3D Points
Distance metric learning by	minimal	distance maximization
DMA Regularization: Enhancing Discriminability of Neural Networks by Decreasing the	minimal	Angle
Dynamic Appearance Modelling from	minimal	Cameras
E-Graph:	minimal	Solution for Rigid Rotation with Extensibility Graphs
Edge Integration Using	minimal	Geodesics
Effective detection and elimination of impulsive noise with a	minimal	image smoothing
Efficient Hidden Variable Approach to	minimal	-Case Camera Motion Estimation, An
Efficient	minimal	Solution for Infinitesimal Camera Motion, An
Efficient	minimal	Solution for Multi-camera Motion, An
Efficient	minimal	-surface regularization of perspective depth maps in variational stereo
Efficient sampling using feature matching and variable	minimal	structure size
Efficient Solution to Non-	minimal	Case Essential Matrix Estimation, An
Efficient Solvers for	minimal	Problems by Syzygy-Based Reduction
Embedded Voxel Colouring with Adaptive Threshold Selection Using Globally	minimal	Surfaces
Error-Diffused Image Security Improving Using Overall	minimal	-Error Searching
Estimating Shortest Paths and	minimal	Distances on Digitized Three-Dimensional Surfaces
Estimation of Personalized	minimal	Purkinje Systems From Human Electro-Anatomical Maps
Exact Lattice Width of Planar Sets and	minimal	Arithmetical Thickness, The
Existence and Synthesis of	minimal	-Basis Morphological Solutions for a Restoration-Based Boundary-Value Problem
Extension of the	minimal	Path Searching for Structure Recovery
Fashion++:	minimal	Edits for Outfit Improvement
Fast and efficient	minimal	solvers for quadric based camera pose estimation
Fast and reliable	minimal	relative pose estimation under planar motion
Fast and robust numerical solutions to	minimal	problems for cameras with radial distortion
Fast Constrained Surface Extraction by	minimal	Paths
Fast Face Image Synthesis With	minimal	Training
fast	minimal	path active contour model, A
Fast Object Segmentation by Growing	minimal	Paths from a Single Point on 2D or 3D Images
Fast Solvers for	minimal	Radial Distortion Relative Pose Problems
Fast Surface Segmentation Guided by User Input Using Implicit Extension of	minimal	Paths
Feature Selection Based on a New Formulation of the	minimal	-Redundancy-Maximal-Relevance Criterion
Fiducial Optimization for	minimal	Target Registration Error in Image-Guided Neurosurgery
Finding a Closed Boundary by Growing	minimal	Paths from a Single Point on 2D or 3D Images
Finding	minimal	Parameterizations of Cylindrical Image Manifolds
Finding Natural Clusters Having	minimal	Description Lengths
Finding Object Categories in Cluttered Images Using	minimal	Shape Prototypes
Finding the	minimal	Set of Maximum Disks for Binary Objects
Flat Surface Reconstruction Using	minimal	Sonar Readings
Flexible Calibration:	minimal	Cases for Auto-Calibration
Forward Regridding Method With	minimal	Oversampling for Accurate and Efficient Iterative Tomographic Algorithms, A
Frequent Itemset-Driven Search for Finding	minimal	Node Separators and its Application to Air Transportation Network Analysis
From a Single Point to a Surface Patch by Growing	minimal	Paths
FRSDE: Fast reduced set density estimator using	minimal	enclosing ball approximation
Full floor identification in images with	minimal	close range 3D information
Gabor Feature Space Diffusion via the	minimal	Weighted Area Method
Generic Primitive Detection in Point Clouds Using Novel	minimal	Quadric Fits
Geodesically Linked Active Contours: Evolution Strategy Based on	minimal	Paths
Global Minimum for a Finsler Elastica	minimal	Path Approach
Global Minimum for Active Contour Models: A	minimal	Path Approach
Global Minimum for Curvature Penalized	minimal	Path Method
Globally	minimal	Path Method Using Dynamic Speed Functions Based on Progressive Wave Propagation
Globally	minimal	Surfaces by Continuous Maximal Flows
GPU accelerated one-pass algorithm for computing	minimal	rectangles of connected components
GPU-Based Homotopy Continuation for	minimal	Problems in Computer Vision
Graph based segmentation with	minimal	user interaction
GridToPix: Training Embodied Agents with	minimal	Supervision
Grouping Connected Components Using	minimal	Path Techniques: Application to Reconstruction of Vessels in 2D and 3D Images
Halftone-Image Security Improving Using Overall	minimal	-Error Searching
Hand geometry based user identification using	minimal	edge connected hand image graph
Hand-Eye Calibration without Hand Orientation Measurement Using	minimal	Solution
Hausdorff and	minimal	Distances between Parametric Freeforms in R2 and R3
High Resolution Elevation Data Derived from Stereoscopic Corona Imagery with	minimal	Ground Control: An Approach Using Ikonos and Srtm Data
High-capacity data hiding in halftone images using	minimal	error bit searching
High-Capacity Data Hiding in Halftone Images Using	minimal	-Error Bit Searching and Least-Mean Square Filter
High-payload block-based data hiding scheme using hybrid edge detector with	minimal	distortion
Homography estimation using one ellipse correspondence and	minimal	additional information
Homography-Based	minimal	-Case Relative Pose Estimation With Known Gravity Direction
Human Face Recognition: A	minimal	Evidence Approach
Hyperspectral Remote Sensing Image Classification Based on Tighter Random Projection with	minimal	Intra-Class Variance Algorithm
Identifying User-Specific Facial Affects from Spontaneous Expressions with	minimal	Annotation
Image and Boundary Segmentation Via	minimal	-Length Encoding on the Connection Machine
Image Block Coding Based on New Algorithms of Shortlength DCT with	minimal	Multiplicative Complexity
Image reconstruction for diffuse optical tomography using bi-conjugate gradient and transpose-free quasi	minimal	residual algorithms and comparison of them
Image segmentation with arbitrary noise models by solving	minimal	surface problems
Image set compression through	minimal	-cost prediction structures
Images as Embedded Maps and	minimal	Surfaces: Movies, Color, Texture, and Volumetric Medical Images
Images as Embedding Maps and	minimal	Surfaces: A Unified Approach for Image Diffusion
Images as Embedding Maps and	minimal	Surfaces: Movies, Color, and Volumetric Medical Images
Imaging Applications of Stochastic	minimal	Graphs
Impact of Pseudo Depth on Open World Object Segmentation with	minimal	User Guidance
Implicit Surface Segmentation by	minimal	Paths, Applications in 3D Medical Images
Improving retinal artery and vein classification by means of a	minimal	path approach
Invariant phi-	minimal	Sets and Total Variation Denoising on Graphs
Isotropic	minimal	Path Based Framework for Segmentation and Quantification of Vascular Networks, An
Iterative Closest Point with	minimal	Free Space Constraints
Kinetic locally	minimal	triangulation: theoretical evaluation and combinatorial analysis
Latent Semantic	minimal	Hashing for Image Retrieval
Lattice-Based	minimal	Gray-Scale Switching Algorithm for Obtaining the Optimal Increasing Filter from the Optimal Filter, A
Learning from Noisy Large-Scale Datasets with	minimal	Supervision
Learning scene-specific object detectors based on a generative-discriminative model with	minimal	supervision
Learning to Detect Carried Objects with	minimal	Supervision
Learning to Solve Hard	minimal	Problems
Learning Visual Landmarks for Localization with	minimal	Supervision
Learning with	minimal	Effort: Leveraging in Silico Labeling for Cell and Nucleus Segmentation
Linear Solution to the	minimal	Absolute Pose Rolling Shutter Problem
Local Knowledge and Professional Background Have a	minimal	Impact on Volunteer Citizen Science Performance in a Land-Cover Classification Task
Making	minimal	solvers fast
Making	minimal	Solvers for Absolute Pose Estimation Compact and Robust
Making Snakes Converge from	minimal	Initialization
Matching Structures by Computing	minimal	Paths on a Manifold
Material segmentation in hyperspectral images with	minimal	region perimeters
Maximal N-Ghosts and	minimal	Information Recovery from N Projected Views of an Array
Medical image segmentation with	minimal	path deformable models
Method and system for adapting a digitized signal processing system for block processing with	minimal	blocking artifacts
	minimal	Adversarial Examples for Deep Learning on 3D Point Clouds
	minimal	Architecture for Detecting Object Location and Motion, A
	minimal	Aspect Distortion (MAD) Mosaicing of Long Scenes
	minimal	Basis Facility Location for Subspace Segmentation
	minimal	Basis Subspace Representation: A Unified Framework for Rigid and Non-rigid Motion Segmentation
	minimal	Case Relative Pose Computation Using Ray-Point-Ray Features
	minimal	Case Solution to the Calibrated Relative Pose Problem for the Case of Two Known Orientation Angles, A
	minimal	Cases for Computing the Generalized Relative Pose using Affine Correspondences
	minimal	Cases of Structure and Motion Problem with Missing Data for One-dimensional retinae
	minimal	Closed-Form Solution for Multi-perspective Pose Estimation using Points and Lines, A
	minimal	Closed-form Solution for the Perspective Three Orthogonal Angles (P3oA) Problem: Application To Visual Odometry, A
	minimal	Component-Hypertrees
	minimal	Conditions for the Visual Detection of Structure and Motion in Three Dimensions
	minimal	conditions on Intrinsic Parameters
	minimal	Consistent Subset (MCS) Identification for Optimal Nearest Neighbor Decision Systems Design
	minimal	Correlation Classification
	minimal	Decomposition of Model-Based Invariants
	minimal	Delay Realization of First Order 2-D All-Pass Digital Filters
	minimal	design of error-correcting output codes
	minimal	error drift in frequency scalability for motion-compensated DCT coding
	minimal	Error Region Merging Technique for Segmentation, A
	minimal	filtered channel features for pedestrian detection
	minimal	Free Space Constraints for Implicit Distance Bounds
	minimal	Functionality for Digital Scholarly Editions
	minimal	Hough Forest training for pattern detection
	minimal	Interaction Touchless Text Input with Head Movements and Stereo Vision
	minimal	Learning Machine In Anomaly Detection From Hyperspectral Images
	minimal	Lipschitz Extensions for Vector-Valued Functions on Finite Graphs
	minimal	local reconstruction error measure based discriminant feature extraction and classification
	minimal	Match Graph and its Use to Speed Identification of Maximal Cliques, The
	minimal	Mean-Curvature-Variation Surfaces and Their Applications in Surface Modeling
	minimal	model dimension/order determination algorithms for recurrent neural networks
	minimal	model for classification of rotated objects with prediction of the angle of rotation, A
	minimal	Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion
	minimal	Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion
	minimal	Non-Linear Camera Pose Estimation Method Using Lines for SLAM Application
	minimal	Non-simple Sets in 4-Dimensional Binary Images with (8,80)-Adjacency
	minimal	non-simple sets in 4D binary images
	minimal	Nonsimple Sets of Voxels in Binary Images on a Face-Centered Cubic Grid
	minimal	Offsets That Guarantee Maximal or Minimal Connectivity of Digital Curves in nD
	minimal	Offsets That Guarantee Maximal or Minimal Connectivity of Digital Curves in nD
	minimal	Operator Set for Passive Depth from Defocus
	minimal	parameterization of the trifocal tensor, A
	minimal	Paths and Fast Marching Methods for Image Analysis
	minimal	Paths by Sum of Distance Transforms
	minimal	Paths for Tubular Structure Segmentation With Coherence Penalty and Adaptive Anisotropy
	minimal	Paths in 3D Images and Application to Virtual Endoscopy
	minimal	Projective Reconstruction for Combinations of Points and Lines in Three Views
	minimal	Projective Reconstruction Including Missing Data
	minimal	Projective Reconstruction with Missing Data
	minimal	radial basis function neural networks for nonlinear channel equalisation
	minimal	Rectangular Partitions of Digitized Blobs
	minimal	region extraction using expanding active contours
	minimal	Representation Multisensor Fusion Using Differential Evolution
	minimal	Representations for Testing and Estimation in Projective Spaces
	minimal	Representations for Uncertainty and Estimation in Projective Spaces
	minimal	Representations of 3D Models in Terms of Image Parameters under Calibrated and Uncalibrated Perspective
	minimal	Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion
	minimal	Scene Descriptions from Structure from Motion Models
	minimal	Set of Constraints and a Minimal Parameterization for the Trifocal Tensor, A
	minimal	Set of Constraints and a Minimal Parameterization for the Trifocal Tensor, A
	minimal	Set of Constraints for the Trifocal Tensor, A
	minimal	Shape and Intensity Cost Path Segmentation
	minimal	Simple Pairs in the 3-D Cubic Grid
	minimal	Simple Pairs in the Cubic Grid
	minimal	Solution for Camera Calibration Using Independent Pairwise Correspondences, A
	minimal	Solution for Computing Pairs of Lines in Non-central Cameras
	minimal	Solution for Image-Based Sphere Estimation, A
	minimal	Solution for Non-perspective Pose Estimation from Line Correspondences, A
	minimal	solution for plane motion and structure from two perspective views, A
	minimal	Solution for Relative Pose with Unknown Focal Length, A
	minimal	Solution for Sphere-Based Camera-Projector Pair Calibration, A
	minimal	Solution for the Extrinsic Calibration of a Camera and a Laser-Rangefinder, A
	minimal	Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences, A
	minimal	Solution for Uncalibrated Absolute Pose Problem with a Known Vanishing Point
	minimal	Solution to Radial Distortion Autocalibration, A
	minimal	Solution to Relative Pose with Unknown Focal Length and Radial Distortion, A
	minimal	solution to the autocalibration of radial distortion, A
	minimal	Solution to the Generalised 3-Point Pose Problem, A
	minimal	Solution to the Generalized Pose-and-Scale Problem, A
	minimal	solutions for generic imaging models
	minimal	Solutions for Panoramic Stitching
	minimal	Solutions for Panoramic Stitching Given Gravity Prior
	minimal	Solutions for Panoramic Stitching with Radial Distortion
	minimal	Solutions for Relative Pose With a Single Affine Correspondence
	minimal	solutions for the rotational alignment of IMU-camera systems using homography constraints
	minimal	Solutions to Generalized Three-View Relative Pose Problem
	minimal	Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length
	minimal	Solutions to Uncalibrated Two-view Geometry with Known Epipoles
	minimal	Solvers for 3D Geometry from Satellite Imagery
	minimal	Solvers for 3D Scan Alignment With Pairs of Intersecting Lines
	minimal	Solvers for Generalized Pose and Scale Estimation from Two Rays and One Point
	minimal	Solvers for Indoor UAV Positioning
	minimal	Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment
	minimal	Solvers for Monocular Rolling Shutter Compensation Under Ackermann Motion
	minimal	Solvers for Point Cloud Matching with Statistical Deformations
	minimal	Solvers for Rectifying From Radially-Distorted Conjugate Translations
	minimal	Solvers for Rectifying from Radially-Distorted Scales and Change of Scales
	minimal	Solvers for Relative Pose Estimation of Multi-Camera Systems using Affine Correspondences
	minimal	Solvers for Relative Pose with a Single Unknown Radial Distortion
	minimal	Solvers for Single-View Lens-Distorted Camera Auto-Calibration
	minimal	Spanning Tree-Based Clustering Technique: Relationship with Bayes Classifier
	minimal	Stochastic Complexity Image Partitioning With Unknown Noise Model
	minimal	Structure and Motion Problems with Missing Data for 1D Retina Vision, The
	minimal	Subset Random Sampling for Pose Determination and Refinement
	minimal	Surfaces Extend Shortest Path Segmentation Methods to 3D
	minimal	Surfaces for Stereo
	minimal	Surfaces in the Roto-Translation Group with Applications to a Neuro-Biological Image Completion Model
	minimal	Surfaces: A Three-Dimensional Segmentation Approach
	minimal	test collections for low-cost evaluation of Audio Music Similarity and Retrieval systems
	minimal	test patterns for connectivity preservation in parallel thinning algorithms for binary digital images
	minimal	Training, Large Lexicon, Unconstrained Sign Language Recognition
	minimal	Weighted Local Variance as Edge Detector for Active Contour Models
	minimal	-Bracketing Sets for High-Dynamic-Range Image Capture
	minimal	-delay distance transform for neighborhood-sequence distances in 2D and 3D
	minimal	-Energy Driving Strategy for High-Speed Electric Train With Hybrid System Model
	minimal	-latency human action recognition using reliable-inference
	minimal	-memory bit-vector architecture for computational mathematical morphology using subspace projections
	minimal	-Redundancy Maximal-Relevance Selection of Facial Regions for 3D Face Recognition
	minimal	-Surfaces Based Object Segmentation
	minimal	-time Trajectories for Interception of Malicious Drones in Constrained Environments
MiniROAD:	minimal	RNN Framework for Online Action Detection
MOMS: maximal-order interpolation of	minimal	support
Multi-label Fashion Image Classification with	minimal	Human Supervision
Multi-Modal Image Registration Based on Gradient Orientations of	minimal	Uncertainty
Multilayer Obstacle-Avoiding X-Architecture Steiner	minimal	Tree Construction Based on Particle Swarm Optimization
Multimodal Information Bottleneck: Learning	minimal	Sufficient Unimodal and Multimodal Representations
Multiple Contour Finding and Perceptual Grouping using	minimal	Paths
Multiplierless Fast DCT Algorithms with	minimal	Approximation Errors
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From	minimal	User Input
Multiview Face Detection and Registration Requiring	minimal	Manual Intervention
Music Genre Classification Using GA-Induced	minimal	Feature-Set
NeFSAC: Neurally Filtered	minimal	Samples
New Algorithm for Training SVMs Using Approximate	minimal	Enclosing Balls, A
New Characterizations of Simple Points,	minimal	Non-simple Sets and P-Simple Points in 2D, 3D and 4D Discrete Spaces
New Dynamic	minimal	Path Model for Tubular Structure Centerline Delineation, A
New Finsler	minimal	Path Model with Curvature Penalization for Image Segmentation and Closed Contour Detection, A
New Implicit Method for Surface Segmentation by	minimal	Paths: Applications in 3D Medical Images, A
new	minimal	path selection algorithm for automatic crack detection on pavement images, A
new	minimal	solution to the relative pose of a calibrated stereo camera with small field of view overlap, A
New Region-Based	minimal	Path Selection Algorithm for Crack Detection and Ground Truth Labeling Exploiting Gabor Filters, A
Non-linear diffusion of image noise with	minimal	iterativity
Nonlinear Estimation of the Fundamental Matrix with	minimal	Parameters
Note on	minimal	Length Polygonal Approximations to a Digitized Contour, A
Novel Polarimetric Contrast Enhancement Method Based on	minimal	Clutter to Signal Ratio Subspace
Numerically robust	minimal	-scan reconstruction algorithms for diffraction tomography via radon transform inversion
Numerically Stable Optimization of Polynomial Solvers for	minimal	Problems
On Constructing	minimal	Ghosts
On	minimal	Energy Trajectories
On	minimal	Moment of Inertia Polyominoes
On Parallel Thinning Algorithms:	minimal	Non-simple Sets, P-simple Points and Critical Kernels
On semi-definiteness and	minimal	H-eigenvalue of a symmetric space tensor using nonnegative polynomial optimization techniques
On the Automatic Computation of the Arterio-Venous Ratio in Retinal Images: Using	minimal	Paths for the Artery/Vein Classification
On the	minimal	Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error
On the	minimal	problems of low-rank matrix factorization
On the	minimal	Recognizable Image Patch
On the Non-linear Optimization of Projective Motion Using	minimal	Parameters
On the use of a	minimal	path approach for target trajectory analysis
OneFlow: One-Class Flow for Anomaly Detection Based on a	minimal	Volume Region
Optimized 3D Watermarking for	minimal	Surface Distortion
Optimized	minimal	Edit Distance for Hand-Written Word Recognition, An
Optimized	minimal	path selection (OMPS) method for automatic and unsupervised crack segmentation within two-dimensional pavement images
Optimizing polynomial solvers for	minimal	geometry problems
Order statistic filters:	minimal	collection of minimum weight vectors
P2-pi: A	minimal	Solution for Registration of 3D Points to 3D Planes
Parallel Algorithms for the Connected Components and	minimal	Spanning Tree Problems
Parametric Polynomial	minimal	Surfaces of Degree Six with Isothermal Parameter
Perceptual Grouping Approach for Visual Interpolation between Good Continuation and	minimal	Path using Tensor Voting, A
Perceptual Grouping by Selection of a Logically	minimal	Model
Perceptual Image Coding Based on a Maximum of	minimal	Structural Similarity Criterion
Pl1P: Point-line	minimal	Problems Under Partial Visibility in Three Views
PLMP: Point-Line	minimal	Problems in Complete Multi-View Visibility
Polynomial Eigenvalue Solutions to	minimal	Problems in Computer Vision
Pose estimation from	minimal	dual-receiver configurations
Progressive	minimal	Path Method for Segmentation of 2D and 3D Line Structures
Progressive	minimal	Path Method with Embedded CNN
Properties of	minimal	Ghosts
Quadtree-Structured Variable-Size Block-Matching Motion Estimation with	minimal	Error
Quasi-	minimal	Model for Paper-Like Surfaces, A
Rapid Gridding Reconstruction With a	minimal	Oversampling Ratio
Real-time Gesture Recognition with	minimal	Training Requirements and On-line Learning
Realtime stereo and motion analysis on passive video images using an efficient image-to-image comparison algorithm requiring	minimal	buffering
Reconstruction and Finite Element Mesh Generation of Abdominal Aortic Aneurysms From Computerized Tomography Angiography Data With	minimal	User Interactions
Recovery of the metric structure of a pattern of points using	minimal	information
Refine Stereo Correspondence Using Bayesian Network and Dynamic Programming on a Color Based	minimal	Span Tree
Remove extremum median filtering and	minimal	absolute difference of four directional filtering on improved PCNN model
Rethinking	minimal	Sufficient Representation in Contrastive Learning
RGB-to-RGBG conversion algorithm with adaptive weighting factors based on edge detection and	minimal	square error
Robust focal length estimation based on	minimal	solution method
Robust Interactive Semantic Segmentation of Pathology Images with	minimal	User Input
Robust Model Fitting Using Higher Than	minimal	Subset Sampling
Robust Navigation in an Unknown Environment With	minimal	Sensing and Representation
Salt and Pepper Noise Removal by Adaptive Median Filter and	minimal	Surface Inpainting
Sampling	minimal	Subsets with Large Spans for Robust Estimation
Scale Space for Contour Registration Using	minimal	Surfaces, A
Segmentation by	minimal	Description
Segmentation of the Left Ventricle from Cardiac MR Images Based on Degenerated	minimal	Surface Diffusion and Shape Priors
Selection of Network Coding Nodes for	minimal	Playback Delay in Streaming Overlays
Self-Organized Text Detection with	minimal	Post-processing via Border Learning
Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images with	minimal	Labeled Data
Semi-supervised Ensemble Learning Approach for Character Labeling with	minimal	Human Effort, A
SemTra: A semi-supervised approach to traffic flow labeling with	minimal	human effort
Sensitivity Analysis and	minimal	Measurement Geometry for the Target-Based Calibration of High-End Panoramic Terrestrial Laser Scanners
Sequential Convex Programming for Computing Information-Theoretic	minimal	Partitions: Nonconvex Nonsmooth Optimization
Sequential	minimal	Optimization Algorithm for the All-Distances Support Vector Machine, A
Shape estimation in computer tomography from	minimal	data
Simple Local	minimal	Intensity Prior and an Improved Algorithm for Blind Image Deblurring, A
Single Quantum Dot Tracking Based on Perceptual Grouping Using	minimal	Paths in a Spatiotemporal Volume
Singly-Bordered Block-Diagonal Form for	minimal	Problem Solvers
Small Steps and Giant Leaps:	minimal	Newton Solvers for Deep Learning
Smooth contour coding with	minimal	description length active grid segmentation techniques
SnapshotNet: Self-supervised feature learning for point cloud data segmentation using	minimal	labeled data
Solving	minimal	Surface Problems on Surfaces and Point Clouds
Some Results on	minimal	Euclidean Reconstruction from Four Points
Sparse Resultant Based Method for Efficient	minimal	Solvers, A
Spatial Topology Graphs for Feature-	minimal	Correspondence
Sperm Flagellum Center-Line Tracing in Fluorescence 3D+t Low SNR Stacks Using an Iterative	minimal	Path Method
Stable Algebraic Camera Pose Estimation for	minimal	Configurations of 2D/3D Point and Line Correspondences, A
STCMH with	minimal	semantic loss
Structure from Motion Based Approaches to 3D Reconstruction in	minimal	Invasive Laparoscopy
Subspace segmentation with a	minimal	Squared Frobenius Norm Representation
SurfCut: Surfaces of	minimal	Paths from Topological Structures
Test of Randomness Based on the	minimal	Spanning Tree, A
Texture classification with	minimal	training images
Theory of	minimal	3D Point to 3D Plane Registration and Its Generalization, A
Three Dimensional Object Modeling via	minimal	Surfaces
three-point	minimal	solution for panoramic stitching with lens distortion, A
Toward a	minimal	Representation of Affective Gestures
Tracking articulators in X-ray images with	minimal	user interaction: Example of the tongue extraction
Tracking Single Quantum Dots in Live Cells with	minimal	Paths
Trajectory Similarity Measures Using	minimal	Paths
Trinocular visual odometry for divergent views with	minimal	overlap
Tubular Structure Segmentation Based on	minimal	Path Method and Anisotropic Enhancement
Two	minimal	Problems for Cameras with Radial Distortion
Two-View Orthographic Epipolar Geometry:	minimal	and Optimal Solvers
Underwater Image Enhancement via	minimal	Color Loss and Locally Adaptive Contrast Enhancement
Uniformity testing using	minimal	spanning tree
Uniquely Representing Point Patterns with	minimal	Information
Unsupervised Trajectory Modelling Using Temporal Information via	minimal	Paths
Using omnidirectional structure from motion for registration of range images of	minimal	overlap
Using Sparse Elimination for Solving	minimal	Problems in Computer Vision
Using steerable wavelets and	minimal	paths to reconstruct automatically filaments in fluorescence imaging
Vehicle collision prediction at intersections based on comparison of	minimal	distance between vehicles and dynamic thresholds
Vessel extraction using anisotropic	minimal	paths and path score
Vessels as 4-D Curves: Global	minimal	4-D Paths to Extract 3-D Tubular Surfaces and Centerlines
Vessels as 4D Curves: Global	minimal	4D Paths to Extract 3D Tubular Surfaces
Video Summarization with	minimal	Visual Content Redundancies
Visual words assignment on a graph via	minimal	mutual information loss
Volumetric Performance Capture from	minimal	Camera Viewpoints
Voronoi Diagrams with Barriers and on Polyhedra for	minimal	Path Planning
Watermark Optimization of 3D Shapes for	minimal	Distortion and High Robustness
Weighted	minimal	Hypersurface Reconstruction
Weighted	minimal	Hypersurfaces and Their Applications in Computer Vision
Wide baseline stereo object matching using	minimal	cost flow algorithm
Wire cut of double-sided	minimal	surfaces
wireless robotic video laparo-endoscope for	minimal	invasive surgery, A

431 for minimal

_	minimalist	_
Boosting	minimalist	classifiers for blemish detection in potatoes
Less is more: A	minimalist	approach to robust GAN-generated face detection
	minimalist	AdaBoost for Blemish Identification in Potatoes
	minimalist	Approach to Type-Agnostic Detection of Quadrics in Point Clouds, A
	minimalist	Vision for Navigation
Very Low Bit-Rate	minimalist	Video Encoder Based on Matching Pursuits, A

_	minimalistic	_
Geneva	minimalistic	Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing, The
	minimalistic	CNN-based ensemble model for gender prediction from face images
	minimalistic	Image Signal Processing for Deep Learning Applications

_	minimally	_
3-D Pose Estimation of Articulated Instruments in Robotic	minimally	Invasive Surgery
Active Deep Learning Approach for	minimally	Supervised PolSAR Image Classification, An
Automatic Planning of	minimally	Invasive Aortic Valve Replacement Surgery
Deep Smoke Removal from	minimally	Invasive Surgery Videos
Development of an Augmented Reality System Based on Marker Tracking for Robotic Assisted	minimally	Invasive Spine Surgery
Dynamic 3-D Virtual Fixtures for	minimally	Invasive Beating Heart Procedures
Fast and Accurate Feature-Matching Algorithm for	minimally	-Invasive Endoscopic Images, A
First Robotic SPECT for	minimally	Invasive Sentinel Lymph Node Mapping
Human-Centered Transparency of Grasping via a Robot-Assisted	minimally	Invasive Surgery System
Intraoperative Laparoscope Augmentation for Port Placement and Resection Planning in	minimally	Invasive Liver Resection
Magnetic Particle Imaging Approach for	minimally	Invasive Imaging and Sensing With Implantable Bioelectronic Circuits, A
	minimally	Distorted Structured Adversarial Attacks
	minimally	Invasive Surgery for Sparse Neural Networks in Contrastive Manner
	minimally	Redundant 2-D Array Designs for 3-D Medical Ultrasound Imaging
	minimally	Supervised Acquisition of 3D Recognition Models from Cluttered Images
	minimally	Supervised Classification
	minimally	-Interactive Watershed Algorithm Designed for Efficient CTA Bone Removal, A
	minimally	-Invasive Estimation of Patient-Specific End-Systolic Elastance Using a Biomechanical Heart Model
	minimally	-supervised classification using multiple observation sets
Modeling insertion point for general purpose haptic device simulations for	minimally	invasive surgeries
Modeling Real-World Affective and Communicative Nonverbal Vocalizations From	minimally	Speaking Individuals
Motion Capture of Hand Movements Using Stereo Vision for	minimally	Invasive Vascular Interventions
Multiple Target Tracking in World Coordinate with Single,	minimally	Calibrated Camera
new computer vision-based system to help clinicians objectively assess visual pursuit with the moving mirror stimulus for the diagnosis of	minimally	conscious state, A
Overview of Photogrammetric Measurement Techniques in	minimally	Invasive Surgery Using Endoscopes
Pointing with a One-Eyed Cursor for Supervised Training in	minimally	Invasive Robotic Surgery
Prediction of	minimally	Conscious State Responder Patients to Non-invasive Brain Stimulation Using Machine Learning Algorithms
Probabilistic Sparse Matching for Robust 3D/3D Fusion in	minimally	Invasive Surgery
Registration of physical space to laparoscopic image space for use in	minimally	invasive hepatic surgery
Relative Pose Estimation of Surgical Tools in Assisted	minimally	Invasive Surgery
Review of Recent Advances in Registration Techniques Applied to	minimally	Invasive Therapy, A
RGB No More:	minimally	-Decoded JPEG Vision Transformers
Robot-Assisted	minimally	Invasive Surgery: Surgical Robotics in the Data Age
Robust Dense Endoscopic Stereo Reconstruction for	minimally	Invasive Surgery
Segmentation of Arteries in	minimally	Invasive Surgery Using Change Detection
Self-calibrating 3D-ultrasound-based bone registration for	minimally	invasive orthopedic surgery
Soft Robot-Assisted	minimally	Invasive Surgery and Interventions: Advances and Outlook
Stereoscopic Motion Magnification in	minimally	-Invasive Robotic Prostatectomy
Toward a 3D endoscope for	minimally	invasive surgery
Towards a Real-Time	minimally	-Invasive Vascular Intervention Simulation System

40 for minimally

_	minimammographic	_
	minimammographic	Database

_	minimaux	_
Chemins	minimaux	et Modeles Deformables en Analyse d'Images

_	minimax	_
Affine Distortion Compensation for an Isolated Online Handwritten Chinese Character Using Combined Orientation Estimation and HMM-Based	minimax	Classification
Automatic contrast enhancement by variational	minimax	optimization
Bounded Self-Weights Estimation Method for Non-Local Means Image Denoising Using	minimax	Estimators
Can modified	minimax	win in Pearl's game?
Characteristics of	minimax	FIR filters for video interpolation/decimation
comparative study of	minimax	Probability Machine-based approaches for face recognition, A
Cost-effective implementation of order-statistics-based vector filters using	minimax	approximations
Dimension Reduction by Minimum Error	minimax	Probability Machine
Discrete Box-Constrained	minimax	Classifier for Uncertain and Imbalanced Class Proportions
Easy	minimax	Estimation with Random Forests for Human Pose Estimation
Efficient ADMM-Based Algorithm for Regularized	minimax	Approximation
Entropy	minimax	expansions for waveform analysis
Fast colour space transformations using	minimax	approximations
Fast	minimax	Path-Based Joint Depth Interpolation
Gradient Descent Ascent for	minimax	Problems on Riemannian Manifolds
Image Reconstruction Algorithm Based on the Regularized	minimax	Estimation for Electrical Capacitance Tomography, An
Image thresholding by variational	minimax	optimization
Image Vector Quantization with	minimax	L-INF Distortion
Improving Prostate Cancer (PCa) Classification Performance by Using Three-Player	minimax	Game to Reduce Data Source Heterogeneity
Interactive-Multiple-Model Algorithm Based on	minimax	Particle Filtering
Iteratively Reweighted	minimax	-Concave Penalty Minimization for Accurate Low-rank Plus Sparse Matrix Decomposition
Label propagation through	minimax	paths for scalable semi-supervised learning
Laplacian	minimax	probability machine
Learning classifiers from imbalanced data based on biased	minimax	probability machine
Learning Inhomogeneous Gibbs Model of Faces by	minimax	Entropy
Macroscopic Traffic Data-Assimilation Framework Based on the Fourier-Galerkin Method and	minimax	Estimation, A
	minimax	Bridgeness-Based Clustering for Hyperspectral Data
	minimax	classifiers based on neural networks
	minimax	Design of Constant Modulus MIMO Waveforms for Active Sensing
	minimax	Design of Recursive Digital-Filters with a Lattice Denominator
	minimax	Design of Two-Channel IIR QMF Banks with Arbitrary Group Delay
	minimax	design of two-channel low-delay perfect-reconstruction FIR filter banks
	minimax	Disappointment Criterion for Video Broadcasting
	minimax	Entropy and Learning by Diffusion
	minimax	Entropy Principles and Its Application to Texture Modeling
	minimax	Framework for Classification with Applications to Images and High Dimensional Data, A
	minimax	Framework for Two-Agent Scheduling With Inertial Constraints, A
	minimax	Method for Function Interpolation Using an SLI Structure, A
	minimax	Optimal Level-Set Estimation
	minimax	Optimization of Continuous Search Efforts for the Detection of a Target
	minimax	Partial Distortion Competitive Learning for Optimal Codebook Design
	minimax	Robust Landmine Detection Using Forward-Looking Ground-Penetrating Radar
	minimax	Scheduling Framework for Inertially-Constrained Multi-Agent Systems, A
	minimax	search algorithms with and without aspiration windows
Multi-feature Spectral Clustering with	minimax	Optimization
Multitask Identity-Aware Image Steganography via	minimax	Optimization
On the	minimax	Design of Passband Linear-Phase Variable Digital Filters Using Semidefinite Programming
Oracle Inequalities and	minimax	Rates for Nonlocal Means and Related Adaptive Kernel-Based Methods
Order Parameters for	minimax	Entropy Distributions: When does High Level Knowledge Help?
Polygonal Approximation by the	minimax	Method
Semi-Supervised Domain Adaptation via	minimax	Entropy
Tensor Recovery Based on a Novel Non-Convex Function	minimax	Logarithmic Concave Penalty Function
Tensor recovery based on Bivariate Equivalent	minimax	-Concave Penalty
Tuning Support Vector Machines for	minimax	and Neyman-Pearson Classification
Universal	minimax	binary image denoising under channel uncertainty
Vector Quantization with	minimax	L-inf Distortion for Image Coding
Visible Surface Reconstruction Via Local	minimax	Approximation
Wedgelets: Nearly	minimax	Estimations of Edges

58 for minimax

_	minimca	_
Band-to-band registration and ortho-rectification of multilens/multispectral imagery: A case study of	minimca	-12 acquired by a fixed-wing UAS

_	minimisation	_
Adaptive patched L0 gradient	minimisation	model applied on image smoothing
Alternative	minimisation	algorithm for non-local total variational image deblurring
Automatically Selecting Inference Algorithms for Discrete Energy	minimisation
Catalogue-Based Traffic Sign Asset Management: Towards User's Effort	minimisation
Colour compressed sensing imaging via sparse difference and fractal	minimisation	recovery
Combination of hybrid median filter and total variation	minimisation	for medical X-ray image restoration
Combining Data Augmentation and Domain Distance	minimisation	to Reduce Domain Generalisation Error
Covariate Shift	minimisation	Method to Alleviate Non-stationarity Effects for an Adaptive Brain-Computer Interface, A
Delay management and energy consumption	minimisation	on a single-track railway
Detecting Reflection Axes by Energy	minimisation
Energy	minimisation	Approach to Attributed Graph Regularisation, An
energy	minimisation	approach to stereo-temporal dense reconstruction, An
energy	minimisation	approach to the registration, matching and recognition of images, An
Energy	minimisation	-based multi-class multi-instance geometric primitives extraction from 3D point clouds
Entropy	minimisation	Framework for Event-based Vision Model Estimation
global approach for image orientation using Lie algebraic rotation averaging and convex L_inf	minimisation	, A
Incremental Learning in the Energy	minimisation	Framework for Interactive Segmentation
Iterative Error Bound	minimisation	for AAM Alignment
Iterative Method for Superresolution of Optical Flow Derived by Energy	minimisation	, An
Learning parametrised regularisation functions via quotient	minimisation
Live Demonstration: Incremental Motion Estimation for Event-based Cameras by Dispersion	minimisation
	minimisation	of image watermarking side effects through subjective optimisation
	minimisation	of local within-class variance for image segmentation
Multi-scale patches based image denoising using weighted nuclear norm	minimisation
Multiresolution energy	minimisation	framework for stereo matching
Omni-gradient-based total variation	minimisation	for sparse reconstruction of omni-directional image
Optimisation of Classic Photometric Stereo by Non-convex Variational	minimisation
Optimised photometric stereo via non-convex variational	minimisation
Padua point interpolation and Lp-norm	minimisation	in colour-based image indexing and retrieval
Reweighted infrared patch image model for small target detection based on non-convex Lp-norm	minimisation	and TV regularisation
Robust Event-Based Vision Model Estimation by Dispersion	minimisation
Snake Head Boundary Extraction Using Global and Local Energy	minimisation
Specularity Removal from Imaging Spectroscopy Data via Entropy	minimisation
SVM-Based Feature Selection by Direct Objective	minimisation

34 for minimisation

_	minimise	_
Optimising Light Source Positions to	minimise	Illumination Variation for 3D Vision
Stable Backward Diffusion Models that	minimise	Convex Energies

_	minimised	_
	minimised	complexity dynamic structure adaptive filter design for improved steady state performance analysis, A

_	minimiser	_
	minimiser	l'erreur de reprojection en reconstruction de surfaces basee images

_	minimising	_
Adapting Scale by	minimising	Spectral Defocusing for Shape from Texture
Aligning Shapes by	minimising	the Description Length
Colouring vehicle threat and	minimising	threat avoidance trajectory cost for adaptive vehicle collision defence system in active safe driving
Elasticity-based matching by	minimising	the symmetric difference of shapes
Featureless 2D-3D pose estimation by	minimising	an illumination-invariant loss
Learning Filter Functions in Regularisers by	minimising	Quotients
Metro timetable optimisation for	minimising	carbon emission and passenger time: a bi-objective integer programming approach
	minimising	Entropy Changes in Dynamic Network Evolution
	minimising	Speaker Verification Utterance Length through Confidence Based Early Verification Decisions
	minimising	Systematic Errors in DEMs Caused by an Inaccurate Lens Model
	minimising	the Search Space for Polygon Detection Using the Generalised Hough Transform
Optimal road grade design based on stochastic speed trajectories for	minimising	transportation energy consumption
Vehicle routing problem solution considering	minimising	fuel consumption

13 for minimising

_	minimizable	_
Exhaustive family of energies	minimizable	exactly by a graph cut

_	minimization	_
3-D Interpretation of Single Line Drawings Based on Entropy	minimization	Principle
3D Deformable Image Matching Using Multiscale	minimization	of Global Energy Functions
3D Markerless human limb localization through robust energy	minimization
3D volume extraction and mesh generation using energy	minimization	techniques
6DOF entropy	minimization	SLAM for stereo-based wearable devices
Accumulator size	minimization	for a fast cumulant-based motion estimator
Accurate Stereo Matching by Two-Step Energy	minimization
Active Contour Model with Local Variance Force Term and Its Efficient	minimization	Solver for Multiphase Image Segmentation, An
Active learning based on	minimization	of the expected path-length of random walks on the learned manifold structure
Actual Shape-Based Obstacle Avoidance Synthesized by Velocity-Acceleration	minimization	for Redundant Manipulators: An Optimization Perspective
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy	minimization	for Multi-Modal Cardiac Image Segmentation
Adaptive Critic Design for Energy	minimization	of Portable Video Communication Devices
Adaptive Domain Generalization Via Online Disagreement	minimization
adaptive dynamic combined energy	minimization	model for few-view computed tomography reconstruction, An
Adaptive lifting schemes with a global L1	minimization	technique for image coding
Adaptive Lp Norm	minimization	Algorithm for Direction of Arrival Estimation, An
Adaptive partition size temporal error concealment for H.264 using weighted double-sided EBME	minimization
Adaptive Simulated Annealing for Energy	minimization	Problem in a Marked Point Process Application
Adaptive thresholding of tomograms by projection distance	minimization
Adaptive Window-Based Constrained Energy	minimization	for Detection of Newly Grown Tree Leaves
Adjusting samples for obtaining better L2-norm	minimization	based sparse representation
ADMM-Net for Beamforming Based on Linear Rectification with the Atomic Norm	minimization
ADVENT: Adversarial Entropy	minimization	for Domain Adaptation in Semantic Segmentation
Affine-Invariant Recognition of Handwritten Characters via Accelerated KL Divergence	minimization
Airborne Downward-Looking Sparse Linear Array 3-D SAR Imaging via 2-D Adaptive Iterative Reweighted Atomic Norm	minimization
Airport Ground Movement Problem:	minimization	of Delay and Pollution Emission
Algebraic-Distance	minimization	of Lines and Ellipses for Traffic Sign Shape Localization
algorithm for nonconvex functional	minimization	and applications to image restoration, An
Algorithm for Total Variation	minimization	and Applications, An
Aligning transcript of historical documents using energy	minimization
Alphabet SOUP: A framework for approximate energy	minimization
Alternating	minimization	Algorithm for Binary Image Restoration, An
Alternating	minimization	Algorithm for Speckle Reduction With a Shifting Technique
Alternating	minimization	Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise
Alternating	minimization	Algorithms for Transmission Tomography
Analysis and Practical	minimization	of Registration Error in a Spherical Fish Tank Virtual Reality System
Analysis of Reconstructions Obtained Solving l^p -Penalized	minimization	Problems
Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank	minimization
Applying Upstream Satellite Signals and a 2-D Error	minimization	Algorithm to Advance Early Warning and Management of Flood Water Levels and River Discharge
approach to positron emission tomography based on penalized cross-entropy	minimization	, An
Approximate Envelope	minimization	for Curvature Regularity
Artificial neural network approach to authentication of coins by vision-based	minimization
Augmented Lagrangian alternating direction method for low-rank	minimization	via non-convex approximation
Augmented Lagrangian Method for TVg+L1-norm	minimization	, An
Automated Parameter Selection for Total Variation	minimization	in Image Restoration
B-Spline Image Model for Energy	minimization	-Based Optical Flow Estimation
Band Selection in Multispectral Images by	minimization	of Dependent Information
Bayesian Invariant Risk	minimization
Benchmark for Sparse Coding: When Group Sparsity Meets Rank	minimization	, A
Bi-Nuclear Tensor Schatten-p Norm	minimization	for Multi-View Subspace Clustering
Bilateral kernel parameter optimization by risk	minimization
Bilinear Factor Matrix Norm	minimization	for Robust PCA: Algorithms and Applications
binning formula of bi-histogram for joint entropy estimation using mean square error	minimization	, A
Biometric scores fusion based on total error rate	minimization
Blind Restoration of Remote Sensing Images by a Combination of Automatic Knife-Edge Detection and Alternating	minimization
Blind Source Separation by Nuclear Norm	minimization	and Local Recoverability Analysis
Block Distortion in Orthogonal Transform Coding-Analysis,	minimization	, and Distortion Measure
Blur Identification Based on Kurtosis	minimization
Boundary Detection in a Hexagonal Grid Using Energy	minimization
Boundary-Constrained Morphological Skeleton	minimization	and Skeleton Reconstruction
Box Relaxation Schemes in Staggered Discretizations for the Dual Formulation of Total Variation	minimization
Bregman Majorization-	minimization	Framework for Pet Image Reconstruction, A
Calibration of Ultrawide Fisheye Lens Cameras by Eigenvalue	minimization
Camera Calibration from Multiple Views of a 2D Object Using a Global Non-Linear	minimization	Method
Camera Displacement via Constrained	minimization	of the Algebraic Error
Cascaded L1-norm	minimization	Learning (CLML) classifier for human detection
Cell Tracking: A Modeling and	minimization	Approach
Change Detection and Object Segmentation: A Histogram of Features-Based Energy	minimization	Approach
Charging-Expense	minimization	Through Assignment Rescheduling of Movable Charging Stations in Electric Vehicle Networks
Class-Conditional Sharpness-Aware	minimization	for Deep Long-Tailed Recognition
Close-Form Solution and Parameter Selection for Convex	minimization	-Based Edge-Preserving Smoothing
Clustering as physically inspired energy	minimization
Coarse-to-Fine	minimization	of Some Common Nonconvexities
Collaborative neighbor representation based classification using L_2-	minimization	approach
Color image regularization via channel mixing and half quadratic	minimization
Color Image Segmentation Using Energy	minimization	on a Quadtree Representation
Color-guided boundary-preserving depth upsampling based on L0 gradient	minimization
comparative analysis of structural risk	minimization	by support vector machines and nearest neighbor rule, A
Comparative Study for the Nuclear Norms	minimization	Methods, A
Comparative Study of Energy	minimization	Methods for Markov Random Fields with Smoothness-Based Priors, A
Comparative Study of Energy	minimization	Methods for Markov Random Fields, A
Comparative Study of Modern Inference Techniques for Discrete Energy	minimization	Problems, A
Comparative Study of Modern Inference Techniques for Structured Discrete Energy	minimization	Problems, A
Comparison of Energy	minimization	Algorithms for Highly Connected Graphs
Comparison of energy	minimization	methods for 3-D brain tissue classification
comparison of the computational performance of Iteratively Reweighted Least Squares and alternating	minimization	algorithms for L1 inverse problems, A
Comparison Study of Two Energy	minimization	Based Image Segmentation Methods
Complexity of Discrete Energy	minimization	Problems
Composite Optimization by Nonconvex Majorization-	minimization
Compressed Sensing MRI by Integrating Deep Denoiser and Weighted Schatten P-Norm	minimization
Compressive Online Robust Principal Component Analysis via n-L_1	minimization
Computationally Efficient Truncated Nuclear Norm	minimization	for High Dynamic Range Imaging
computer-aided diagnosis for locating abnormalities in bone scintigraphy by a fuzzy system with a three-step	minimization	approach, A
Conditional entropy	minimization	principle for learning domain invariant representation features
Confidence-Based Surface Prior for Energy-	minimization	Stereo Matching
Consistent Discretization and	minimization	of the L1 Norm on Manifolds
Constrained Energy	minimization	for Matching-Based Image Recognition
Constrained Nonlinear Energy	minimization	Framework for the Regularization of the Stereo Correspondence Problem, A
Constrained Total Variation	minimization	and Application in Computerized Tomography
Continuous Energy	minimization	for Multitarget Tracking
Continuous Energy	minimization	Via Repeated Binary Fusion
Contourlet Based MR Image Reconstruction via Reweighted L1-	minimization
Contrast	minimization	Approach to Remove Sun Glint in Landsat 8 Imagery, A
Controllable Multi-Lingual Multi-Speaker Multi-Style Text-to-Speech Synthesis With Multivariate Information	minimization	, A
Convergence Analysis for a Primal-Dual Monotone + Skew Splitting Algorithm with Applications to Total Variation	minimization
Convergence Analysis of Volumetric Stretch Energy	minimization	and Its Associated Optimal Mass Transport
Convergent Conformal Energy	minimization	for the Computation of Disk Parameterizations
Convergent Tree-Reweighted Message Passing for Energy	minimization
convex	minimization	model in image restoration via one-dimensional Sobolev norm profiles, A
Convex MR brain image reconstruction via non-convex total variation	minimization
Cooperative Optimization for Energy	minimization	in Computer Vision: A Case Study of Stereo Matching
Coplanar Repeats by Energy	minimization
Corner Detection by a Cost	minimization	Approach
Corrected Tensor Nuclear Norm	minimization	Method for Noisy Low-Rank Tensor Completion, A
Correspondence free registration through a point-to-model distance	minimization
Cost	minimization	Approach to Edge Detection Using Simulated Annealing, A
Cost	minimization	of Charging Stations With Photovoltaics: An Approach With EV Classification
cost	minimization	with light field in scene depth MAP estimation, A
Coupled	minimization	Problem for Medical Image Segmentation with Priors, A
Coverage segmentation based on linear unmixing and	minimization	of perimeter and boundary thickness
Crop row detection by global energy	minimization
Cross-Domain Gradient Discrepancy	minimization	for Unsupervised Domain Adaptation
Curvature	minimization	for Surface Reconstruction with Features
Curve fitting algorithm using iterative error	minimization	for sketch beautification
Data Separation of L1-	minimization	for Real-time Motion Detection
Data-Dependent Higher-Order Clique Selection for Artery-Vein Segmentation by Energy	minimization
DBS Doppler Centroid Estimation Algorithm Based on Entropy	minimization	, A
De-noising of SRµCT Fiber Images by Total Variation	minimization
Deblurring of One Dimensional Bar Codes Via Total Variation Energy	minimization
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy	minimization
Deep Domain Adaptation by Geodesic Distance	minimization
Deep Embedding Using Bayesian Risk	minimization	with Application to Sketch Recognition
Deep Hashing via Discrepancy	minimization
Deep Unfolded Gridless DOA Estimation Networks Based on Atomic Norm	minimization
Deeply Aggregated Alternating	minimization	for Image Restoration
Defuzzification of spatial fuzzy sets by feature distance	minimization
Delay	minimization	for NOMA-MEC Offloading
Denoising of Time-of-Flight depth data via iteratively reweighted least squares	minimization
Dense 3D Reconstruction of Low Texture Surfaces Using an Energy	minimization	Framework with Smoothness-Based Priors
Dense Depth Map Reconstruction: A	minimization	and Regularization Approach which Preserves Discontinuities
Dense Disparity Estimation Method using Color Segmentation and Energy	minimization	, A
Depth Estimation with Light Field and Photometric Stereo Data Using Energy	minimization
Depth image upsampling based on guided filter with low gradient	minimization
Design of Q-shift complex wavelets for image processing using frequency domain energy	minimization
Designing Recurrent Neural Networks by Unfolding an L1-L1	minimization	Algorithm
Determination of Fabric Viscosity Parameters Using Iterative	minimization
Determination of Optimal General Edge Detectors by Global	minimization	of a Cost Function
Determining OWA Operator Weights by Maximum Deviation	minimization
Deterministic discrete tomography reconstruction by energy	minimization	method on the triangular grid
DHARMA: Discriminant Hyperplane Abstracting Residuals	minimization	Algorithm for Separating Clusters with Fuzzy Boundaries
Direct Approach Toward Global	minimization	for Multiphase Labeling and Segmentation Problems, A
Direct Energy	minimization	for Super-Resolution on Nonlinear Manifolds
Direct MRI Segmentation from k-Space Data by Iterative Potts	minimization
Discrete Total Variation: New Definition and	minimization
Discrete/Continuous	minimization	Method in Interferometric Image Processing, A
Disentangled Representation for Age-Invariant Face Recognition: A Mutual Information	minimization	Perspective
Distortion	minimization	with Fast Local Search for Fractal Image Compression
Distortion variation	minimization	in real-time video coding
Distortionless Beamforming Optimized With L_1 -Norm	minimization
Distributed Consolidation of Highly Incomplete Dynamic Point Clouds Based on Rank	minimization
DOA Estimation of Coherent Sources Using Coprime Array via Atomic Norm	minimization
Domain Decomposition Methods for Total Variation	minimization
DREAM 2 S: Deformable Regions Driven by an Eulerian Accurate	minimization	Method for Image and Video Segmentation
Dynamic Behavior Analysis via Structured Rank	minimization
Edge guided compressive sensing for image reconstruction based on two-stage L_0	minimization
Edge-Detection By Estimation and	minimization	of Errors
EEG Feature Selection via Global Redundancy	minimization	for Emotion Recognition
effective image restoration using Kullback-Leibler divergence	minimization	, An
Efficient Algorithm for Nonconvex	minimization	and Its Application to PM Regularization
Efficient and Flexible Sublabel-Accurate Energy	minimization
Efficient Clustering Using Alternating	minimization	And A Projection-Gradient Method For Dimension Reduction
Efficient Energy	minimization	for Enforcing Label Statistics
Efficient Global	minimization	for the Multiphase Chan-Vese Model of Image Segmentation
Efficient Global	minimization	Methods for Image Segmentation Models with Four Regions
Efficient	minimization	Method for a Generalized Total Variation Functional
Efficient	minimization	of the Non-local Potts Model
Efficient Reconstruction of Dielectric Objects Based on Integral Equation Approach With Gauss-Newton	minimization
Efficient Reconstruction Of Piecewise Constant Images Using Nonsmooth Nonconvex	minimization
Efficient SAV Algorithms for Curvature	minimization	Problems
Efficient Total Variation	minimization	Methods for Color Image Restoration
Empirical risk	minimization	versus maximum-likelihood estimation: A case study
Energy	minimization	Approach to Automatic Traffic Camera Calibration, An
Energy	minimization	Approach to Dense Stereovision, An
Energy	minimization	Based Alternate Sampling and Clustering for Geometric Model Fitting
Energy	minimization	Based Segmentation and Denoising Using a Multilayer Level Set Approach
Energy	minimization	by TeX-Erosion for Supervised Texture Segmentation
Energy	minimization	for image focus volume in shape from focus
Energy	minimization	for linear envelope MRFs
Energy	minimization	for Wireless Video Transmissions With Deadline and Reliability Constraints
Energy	minimization	Methods in Computer Vision and Pattern Recognition
Energy	minimization	of Contours Using Boundary Conditions
Energy	minimization	of discrete functions with higher-order potentials for depth map generation
Energy	minimization	of Portable Video Communication Devices Based on Power-Rate-Distortion Optimization
Energy	minimization	Process for Extracting Eye Feature Based on Deformable Template, An
Energy	minimization	under Constraints on Label Counts
Energy	minimization	via Graph Cuts: Settling What is Possible
Energy	minimization	, Energy Maximization Computation, Function Solving
Energy-	minimization	Based Discrete Tomography Reconstruction Method for Images on Triangular Grid
Energy-	minimization	-Based Approach to Image Modification for Assembling Subpictures
Enforcing integrability by error correction using L1-	minimization
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV	minimization
Enhanced Visualization of DBT Imaging Using Blind Deconvolution and Total Variation	minimization	Regularization, An
Enhancing energy	minimization	framework for scene text recognition with top-down cues
Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware	minimization
Enhancing ISAR Image Efficiently via Convolutional Reweighted L1	minimization
Ensemble-Based Cascaded Constrained Energy	minimization	for Hyperspectral Target Detection
Entropic Perturbation Approach to TV-	minimization	for Limited-Data Tomography, An
Entropy	minimization	for Convex Relaxation Approaches
Entropy	minimization	for Groupwise Planar Shape Co-alignment and its Applications
Entropy	minimization	for Shadow Removal
entropy	minimization	histogram mergence scheme and its application in image compression, An
Entropy	minimization	Principle for Semi-supervised Terrain Classification, An
Equivalence of Half-Quadratic	minimization	and the Gradient Linearization Iteration, The
Error Entropy and Mean Square Error	minimization	for Lossless Image Compression
Estimating Squinted SAR Data: An Efficient Multivariate	minimization	Approach Using Only Essential 3-D Target Information
Euclidean Structure Recovery from Motion in Perspective Image Sequences via Hankel Rank	minimization
Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy	minimization
Evaluation of LiDAR-Derived Features Relevance and Training Data	minimization	for 3D Point Cloud Classification
Exact discrete	minimization	for TV+L0 image decomposition models
Exact Optimization of Discrete Constrained Total Variation	minimization	Problems
Exact Reconstruction Analysis of Log-Sum	minimization	for Compressed Sensing
Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy	minimization	in Vision, An
Experimental Impact Acoustic NDE System Using Spindle-Deviation	minimization	Method
Extending Graph-Cut to Continuous Value Domain	minimization
Extracting Seasonal Signals in GNSS Coordinate Time Series via Weighted Nuclear Norm	minimization
Extraction of Multi-class Multi-instance Geometric Primitives from Point Clouds Using Energy	minimization
Face recognition by sparse discriminant analysis via joint L2,1-norm	minimization
Facial Feature Selection Based on SVMs by Regularized Risk	minimization
Factorization-Based Method for Projective Reconstruction with	minimization	of 2-D Reprojection Errors, A
FALDOI: A New	minimization	Strategy for Large Displacement Variational Optical Flow
Fast additive half-quadratic iterative	minimization	for lp-lq image smoothing
Fast algorithm for total variation	minimization
Fast Alternating	minimization	Method for Compressive Sensing MRI under Wavelet Sparsity and TV Sparsity
Fast and Effective L_0 Gradient	minimization	by Region Fusion
Fast and Exact Algorithm for Total Variation	minimization	, A
Fast and Robust Non-Rigid Registration Using Accelerated Majorization-	minimization
Fast Approximate Energy	minimization	via Graph Cuts
Fast Approximate Energy	minimization	with Label Costs
Fast Eigen Solution for Homogeneous Quadratic	minimization	With at Most Three Constraints, A
Fast Energy	minimization	Using Learned State Filters
fast global matching pursuit algorithm for sparse reconstruction by L0	minimization	, A
Fast Global	minimization	of the Active Contour/Snake Model
Fast L1-	minimization	algorithms and an application in robust face recognition: A review
Fast L_1-	minimization	Algorithms for Robust Face Recognition
Fast	minimization	of Region-Based Active Contours Using the Shape Hessian of the Energy
Fast Nonconvex Nonsmooth	minimization	Methods for Image Restoration and Reconstruction
Fast Postprocessing for Difficult Discrete Energy	minimization	Problems
Fast principal component pursuit via alternating	minimization
Fast randomized Singular Value Thresholding for Nuclear Norm	minimization
Fast Robust Matrix Completion via Entry-Wise l0-Norm	minimization
Fast Virtual Cloth Energy	minimization
Fast Water-Filling Method for Sum-Power	minimization	in OFDMA Networks
Feature-based registration of historical aerial images by Area	minimization
Few views image reconstruction using alternating direction method via L0-norm	minimization
Finding the best not the most: regularized loss	minimization	subgraph selection for graph classification
Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality	minimization	Approach
Fingerprint image matching by	minimization	of a thin-plate energy using a two-step iterative algorithm with auxiliary variables
Fitting Curves on Riemannian Manifolds Using Energy	minimization
fixed-point augmented Lagrangian method for total variation	minimization	problems, A
Flatness-Aware	minimization	for Domain Generalization
From Affine Rank	minimization	Solution to Sparse Modeling
From co-saliency to co-segmentation: An efficient and fully unsupervised energy	minimization	model
fully implicit alternating direction method of multipliers for the	minimization	of convex problems with an application to motion segmentation, A
Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix	minimization	for Image Denoising
General and nested Wiberg	minimization
General and Nested Wiberg	minimization	: L2 and Maximum Likelihood
General Framework for Auto-Weighted Feature Selection via Global Redundancy	minimization	, A
General Search Algorithms for Energy	minimization	Problems
General, Nested, and Constrained Wiberg	minimization
Generalized alternating projection based total variation	minimization	for compressive sensing
Generalized Alternating Projection for Weighted-L_(2,1)	minimization	with Applications to Model-Based Compressive Sensing
Generalized Gradients: Priors on	minimization	Flows
Generalized Laplacian Pyramid-Based Fusion of MS + P Image Data with Spectral Distortion	minimization
Generalized Nonconvex Nonsmooth Low-Rank	minimization
Generalized Tensor Total Variation	minimization	for visual data recovery?
Generic Proximal Algorithm for Convex Optimization: Application to Total Variation	minimization	, A
Genetic Tasks Planning in Image Processing: Towards a	minimization	of Prior Information
Gentle ICM energy	minimization	for Markov random fields with smoothness-based priors
Geodesic Image Matching: A Wavelet Based Energy	minimization	Scheme
Ghost-Free High Dynamic Range Imaging via Rank	minimization
Gift from Knowledge Distillation: Fast Optimization, Network	minimization	and Transfer Learning, A
Gift from Nature: Potential Energy	minimization	for Explainable Dataset Distillation
global energy approach to facet model and its	minimization	using weighted least-squares algorithm, A
Global Energy	minimization	: A Transformation Approach
Global	minimization	for Continuous Multiphase Partitioning Problems Using a Dual Approach
Globally Optimal Solutions for Energy	minimization	in Stereo Vision Using Reweighted Belief Propagation
Gradient Estimation for Unseen Domain Risk	minimization	with Pre-Trained Models
Gradient Norm Aware	minimization	Seeks First-Order Flatness and Improves Generalization
Graph cut energy	minimization	in a probabilistic learning framework for 3D prostate segmentation in MRI
Graph Cuts via L_1 Norm	minimization
Graph-Based and Variational	minimization	of Statistical Cost Functionals for 3D Segmentation of Aortic Dissections
Graph-based simplex method for pairwise energy	minimization	with binary variables
Graphical Game Approach to Electrical Vehicle Charging Scheduling: Correlated Equilibrium and Latency	minimization	, A
Groupwise Registration of Multimodal Images by an Efficient Joint Entropy	minimization	Scheme
Groupwise Shape Registration Based on Entropy	minimization
Guaranteed Parameter Estimation for Discrete Energy	minimization
Guest Editorial: Fast Energy-	minimization	-Based Imaging and Vision Techniques
Guest editors' Introduction to the special section on energy	minimization	methods in computer vision and pattern recognition
Guided filtering based data fusion for light field depth estimation with L0 gradient	minimization
Half-Quadratic-Based Iterative	minimization	for Robust Sparse Representation
Heterogeneous multi-output classification by structured conditional risk	minimization
Heuristics for Whitehead	minimization	Problem
Highly Undersampled Magnetic Resonance Image Reconstruction via Homotopic 0-	minimization
Hinf-Adaptive Filters for Eye Blink Artifact	minimization	From Electroencephalogram
Historical document image binarization using background estimation and energy	minimization
HRF Estimation in fMRI Data With an Unknown Drift Matrix by Iterative	minimization	of the Kullback-Leibler Divergence
Hybrid Algorithm For Solving the Whitehead	minimization	Problem, A
Hyperspectral Image Classification Based on a Least Square Bias Constraint Additional Empirical Risk	minimization	Nonparallel Support Vector Machine
Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten p -Norm	minimization
Hyperspectral Unmixing With Endmember Variability via Alternating Angle	minimization
Identifiability of the Simplex Volume	minimization	Criterion for Blind Hyperspectral Unmixing: The No-Pure-Pixel Case
IFOR: Iterative Flow	minimization	for Robotic Object Rearrangement
Illuminant Change Estimation via	minimization	of Color Histogram Divergence
Image Approximation by	minimization	of a Geometric Distance Applied to a 3D Finite Elements Based Model
Image classification with the use of radial basis function neural networks and the	minimization	of the localized generalization error
Image colorization based on the mixed L0/L1 norm	minimization
Image colorization via color propagation and rank	minimization
Image Completion Using Low Tensor Tree Rank and Total Variation	minimization
Image compressive sensing using group sparse representation via truncated nuclear norm	minimization
Image decomposition, image restoration, and texture modeling using total variation	minimization	and the H-1 norm
Image Denoising and Decomposition with Total Variation	minimization	and Oscillatory Functions
Image Denoising Using TV-Stokes Equation with an Orientation-Matching	minimization
Image Inpainting Algorithm Based on Energy	minimization	, An
Image registration by	minimization	of Mapping Complexity
Image registration by	minimization	of residual complexity
Image restoration through regularization based on error energy	minimization
Image Restoration Using Probability-Inducing Nuclear Norm	minimization
Image segmentation through energy	minimization	based subspace fusion
Image segmentation with simultaneous illumination and reflectance estimation: An energy	minimization	approach
Image Smoothing and Segmentation by Cost	minimization
Image Smoothing Via Gradient Sparsity and Surface Area	minimization
Image stack surface area	minimization	for groupwise and multimodal affine registration
Image-based lens geometric distortion correction using	minimization	of average bicoherence index
ImbSAM: A Closer Look at Sharpness-Aware	minimization	in Class-Imbalanced Recognition
Improved Optimization Based on Graph Cuts for Discrete Energy	minimization
Improved Radiometric Calibration by Brightness Transfer Function Based Noise & Outlier Removal and Weighted Least Square	minimization
Improved Recovery Guarantees and Sampling Strategies for TV	minimization	in Compressive Imaging
Improved Sufficient Condition for Sparse Signal Recovery With	minimization	of L1-L2, An
Improvement to the	minimization	of Hybrid Error Functions for Pose Alignment
Improving Deepfake Detection Generalization by Invariant Risk	minimization
Improving Multi-Site Autism Classification via Site-Dependence	minimization	and Second-Order Functional Connectivity
Improving Robust Generalization by Direct PAC-Bayesian Bound	minimization
Incoherent Unit-Norm Frame Design via an Alternating	minimization	Penalty Method
Inertial Nonconvex Alternating	minimization	s for the Image Deblurring
Inertial Proximal Alternating Linearized	minimization	(iPALM) for Nonconvex and Nonsmooth Problems
Inexact Newton-CG-Type Active Contour Approach for the	minimization	of the Mumford-Shah Functional, An
InfoNeRF: Ray Entropy	minimization	for Few-Shot Neural Volume Rendering
Infrared object detection via patch-tensor model and image denoising based on weighted truncated Schatten-p norm	minimization
Infrared Small Target Detection via Non-Convex Rank Approximation	minimization	Joint L_2,1 Norm
Inhomogeneity correction of magnetic resonance images by	minimization	of intensity overlapping
Ink-bleed reduction using functional	minimization
Intensity non-uniformity correction of aerothermal images via L_p-regularized	minimization
Intensity-Guided Depth Upsampling Using Edge Sparsity and Weighted L_0 Gradient	minimization
Intensity-guided edge-preserving depth upsampling through weighted L0 gradient	minimization
Interactive Geospatial Object Extraction in High Resolution Remote Sensing Images Using Shape-Based Global	minimization	Active Contour Model
Interactive image segmentation via	minimization	of quadratic energies on directed graphs
Interactive object segmentation for mono and stereo applications: Geodesic prior induced graph cut energy	minimization
Intrinsic Images by Entropy	minimization
Invariant Surface Segmentation through Energy	minimization	with Discontinuities
Investigation of lp-Norm	minimization	for the Artifact-Free Inversion of Gravity Data, An
Isotropic and anisotropic filtering norm-	minimization	: A generalization of the TV and TGV minimizations using NESTA
Isotropic and anisotropic filtering norm-	minimization	: A generalization of the TV and TGV minimizations using NESTA
Iterative Constrained	minimization	for Vectorial TV Image Deblurring
Iterative image reconstruction algorithms based on cross-entropy	minimization
Iterative Image Restoration Combining Total Variation	minimization	and a Second-Order Functional
Iterative Local-Global Energy	minimization	for Automatic Extraction of Objects of Interest
Iterative Nonlinear Filter Based on Posterior Distribution Approximation via Penalized Kullback-Leibler Divergence	minimization	, An
Iteratively Reweighted Minimax-Concave Penalty	minimization	for Accurate Low-rank Plus Sparse Matrix Decomposition
IVDST: A Fast Algorithm for Atomic Norm	minimization	in Line Spectral Estimation
Joint Chroma Subsampling and Distortion-	minimization	-Based Luma Modification for RGB Color Images With Application
Joint cost	minimization	for multi-object tracking
Joint demosaicking and denoising by total variation	minimization
Joint	minimization	of the Mean and Information Entropy of the Matching Filter Distribution for a Robust Misfit Function in Full-Waveform Inversion
Joint Segmentation/Registration Model by Shape Alignment via Weighted Total Variation	minimization	and Nonlinear Elasticity
Joint Shape Classification and Labeling of 3-D Objects Using the Energy	minimization	Framework
Joint Sparse Recovery for Signals of Spark-Level Sparsity and MMV Tail-L_2,1	minimization
Joint trace/TV norm	minimization	: A new efficient approach for spectral compressive imaging
Kinect depth restoration via energy	minimization	with TV21 regularization
L1	minimization	algorithm for non-smooth regularization in image processing, An
Lagrangian multipliers and split Bregman methods for	minimization	problems constrained on S^(n-1)
Learning Bias-Invariant Representation by Cross-Sample Mutual Information	minimization
Learning Deeply Aggregated Alternating	minimization	for General Inverse Problems
Learning Joint Gait Representation via Quintuplet Loss	minimization
Learning prototypes and distances: A prototype reduction technique based on nearest neighbor error	minimization
Learning Sparse Graphs via Majorization-	minimization	for Smooth Node Signals
Limited-Angle CT Reconstruction via the L_1/L_2	minimization
Line Integral Alternating	minimization	Algorithm for Dual-Energy X-Ray CT Image Reconstruction
Linear Regression Without Correspondences via Concave	minimization
Linearized proximal alternating	minimization	algorithm for motion deblurring by nonlocal regularization
Logarithmic Schatten-p Norm	minimization	for Tensorial Multi-View Subspace Clustering
Lossless Compression of Images Using Logic	minimization
Low rank matrix recovery via augmented lagrange multiplier with nonconvex	minimization
Low-Rank Matrix Recovery via Modified Schatten-p Norm	minimization	With Convergence Guarantees
Low-Rank Tensor Recovery and Alignment Based on Lp	minimization
LSM: Learning Subspace	minimization	for Low-Level Vision
LX	minimization	in geometric reconstruction problems
L_1 beta L_q	minimization	for Signal and Image Recovery
L_1-Norm	minimization	With Regula Falsi Type Root Finding Methods
L_2,1-norm	minimization	based negative label relaxation linear regression for feature selection
magic of split augmented Lagrangians applied to K-frame-based L0-L2	minimization	image restoration, The
MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite	minimization
Mahalanobis distance	minimization	Mapping: M3
Majorization-	minimization	Algorithm for Neuroimage Registration, A
Majorization-	minimization	Algorithm for Nonnegative Binary Matrix Factorization, A
Majorization-	minimization	algorithms for maximum likelihood estimation of magnetic resonance images
Majorization-	minimization	Algorithms for Wavelet-Based Image Restoration
Majorization-	minimization	Approach to Lq Norm Multiple Kernel Learning, A
Majorization-	minimization	mixture model determination in image segmentation
Manhattan-Pyramid Distance: A solution to an anomaly in pyramid matching by	minimization
Markovian Random Fields Energy	minimization	Algorithms
Matching based on variance	minimization	of component distances using edges of free-form surfaces
Matching Pursuit Based on Kernel Non-Second Order	minimization
Matrix Splitting Method for Composite Function	minimization	, A
Maximum distance	minimization	for feature weighting
Maximum likelihood blind image restoration via alternating	minimization
Maximum Persistency in Energy	minimization
Medical image fusion based on nuclear norm	minimization
MEEM: Robust Tracking via Multiple Experts Using Entropy	minimization
Method of Discriminative Information Preservation and In-Dimension Distance	minimization	Method for Feature Selection, A
MIMO Ground Penetrating Radar Imaging Through Multilayered Subsurface Using Total Variation	minimization
	minimization	of a Detail-Preserving Regularization Functional for Impulse Noise Removal
	minimization	of Detail-preserving Regularization Functional by Newton's Method with Continuation
	minimization	of Energy Functional with Curve-Represented Edges
	minimization	of Fuel Consumption for Vehicle Trajectories
	minimization	of Imaging Gradient Effects in Diffusion Tensor Imaging
	minimization	of Monotonically Levelable Higher Order MRF Energies via Graph Cuts
	minimization	of MRF Energy With Relaxation Labeling
	minimization	of Region-Scalable Fitting Energy for Image Segmentation
	minimization	of Structural Information: A Set-Theoretical Approach
	minimization	of the Quantization Error in Camera Calibration
	minimization	of the Spurious Shot Boundaries Using Principal Components Decomposition and Progressive Nonlinear Filter
Mixed L0/L1 Norm	minimization	Approach to Image Colorization
Mixed lp/l1 Norm	minimization	Approach to Intra-Frame Super-Resolution
Modeling Textures with Total Variation	minimization	and Oscillating Patterns in Image Processing
Motion Tracking of Deformable Objects Based on Energy	minimization	Using Multiscale Dynamic Programming
Motion-compensated orthonormal expansion -	minimization	for reference-driven MRI reconstruction using Augmented Lagrangian methods
Moving Object Extraction by Watershed Algorithm Considering Energy	minimization
Moving Target's HRRP Synthesis With Sparse Frequency-Stepped Chirp Signal via Atomic Norm	minimization
MPTV: Matching Pursuit-Based Total Variation	minimization	for Image Deconvolution
MRF Energy	minimization	and Beyond via Dual Decomposition
MRF Optimization, Energy	minimization
MRI image segmentation based on fast global	minimization	of snake model
Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm	minimization
Multi-channel Weighted Nuclear Norm	minimization	for Real Color Image Denoising
Multi-class Model Fitting by Energy	minimization	and Mode-Seeking
multi-class SVM approach based on the L1-norm	minimization	of the distances between the reduced convex hulls, A
Multi-component image segmentation in homogeneous regions based on description length	minimization	: Application to speckle, Poisson and Bernoulli noise
Multi-Dimensional Low-Rank with Weighted Schatten p-Norm	minimization	for Hyperspectral Anomaly Detection
Multi-image Matching via Fast Alternating	minimization
Multi-Layer Surface Segmentation Using Energy	minimization
Multi-organ segmentation by	minimization	of higher-order energy for CT boundary
multi-phase sparse probability framework via entropy	minimization	for single sample face recognition, A
Multi-Step Test-Time Adaptation with Entropy	minimization	and Pseudo-Labeling
Multi-target tracking by continuous energy	minimization
Multi-Target Tracking by Discrete-Continuous Energy	minimization
Multi-temperature annealing: a new approach for the energy-	minimization	of hierarchical Markov random field models
Multi-View Data Fusion Oriented Clustering via Nuclear Norm	minimization
Multicamera pedestrian detection using logic	minimization
Multicriterion cross-entropy	minimization	approach to positron emission tomographic imaging
Multiple Subspace Model and Image-Inpainting Algorithm Based on Multiple Matrix Rank	minimization
Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted	minimization	Algorithm
Multiscale	minimization	of Global Energy Functions in Some Visual Recovery Problems
Multiscale Variable-Grouping Framework for MRF Energy	minimization	, A
Multispectral Image Segmentation by Energy	minimization	for Fruit Quality Estimation
Multiview Clustering of Images with Tensor Rank	minimization	via Nonconvex Approach
NashAE: Disentangling Representations Through Adversarial Covariance	minimization
Near-Optimal Compressed Sensing Guarantees for Total Variation	minimization
Nesting-structured nuclear norm	minimization	for spatially correlated matrix variate
Network on chips link bandwidth	minimization	of deadlock-free multi-path routing
Network Pruning via Feature Shift	minimization
neural network energy	minimization	approach to approximation of 2-dimensional shapes, A
New Alternating	minimization	Algorithm For Total Variation Image Reconstruction, A
New Approach to Two-View Motion Segmentation Using Global Dimension	minimization	, A
New Insights on the Optimality Conditions of the L2-L0	minimization	Problem
New Restricted Isometry Property Analysis for L_1-L_2	minimization	Methods
New Sufficient Condition for Non-Convex Sparse Recovery via Weighted L_r-L_1	minimization	, A
Newton-Type Greedy Selection Methods for L_0-Constrained	minimization
Noise Suppression for Dual-Energy CT Through Entropy	minimization
Noisy Image Restoration by Cost Function	minimization
Non-Coherent DOA Estimation via Majorization-	minimization	Using Sign Information
Non-convex online robust PCA: Enhance sparsity via lp-norm	minimization
Noncontact Vital Sign Detection based on Stepwise Atomic Norm	minimization
Nonconvex Nonsmooth Low Rank	minimization	via Iteratively Reweighted Nuclear Norm
Nonconvex Truncated Nuclear Norm	minimization	Based on Adaptive Bisection Method
Nonconvex Weighted L_p	minimization	Based Group Sparse Representation Framework for Image Denoising
Noninvasive Transmural Electrophysiological Imaging Based on	minimization	of Total-Variation Functional
Nonlinear dimensionality reduction by curvature	minimization
Nonlinear L1-norm	minimization	learning for human detection
nonlocal energy	minimization	approach to brain image segmentation with simultaneous bias field estimation and denoising, A
Nonnegative Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and L_1	minimization
Nonparametric classification using radial basis function nets and empirical risk	minimization
Nonparametric Level-Set Segmentation Based on the	minimization	of the Stochastic Complexity
Note on Alternating	minimization	Algorithm for the Matrix Completion Problem, A
note on patch-based low-rank	minimization	for fast image denoising, A
novel adaptive class weight adjustment-based multiclass segmentation error	minimization	technique for COVID-19 X-ray image analysis, A
Novel Edge Detection Algorithm Based on Global	minimization	Active Contour Model for Oil Slick Infrared Aerial Image, A
novel energy	minimization	criterion for color image segmentation, A
Novel Quasi-Newton Method for Composite Convex	minimization	, A
Novel Segmentation Error	minimization	-Based Method for Multilevel Optimal Threshold Selection Using Opposition Equilibrium Optimizer, A
Novel Square Error	minimization	-Based Multilevel Thresholding Method for COVID-19 X-Ray Image Analysis Using Fast Cuckoo Search
Null Space Property of L_1-2	minimization	With Prior Support Information
Null Space Property of the Truncated L_1-2-	minimization	, The
Object Tracking Based on an Online Learning Network with Total Error Rate	minimization
Object Tracking Via Uncertainty	minimization
Object-based image fusion for	minimization	of color distortion in high-resolution satellite imagery
On Binary Sequence Design via PSL	minimization
On Inferring Image Label Information Using Rank	minimization	for Supervised Concept Embedding
On Semismooth Newton's Methods for Total Variation	minimization
On the Convergence of Nonconvex	minimization	Methods for Image Recovery
On the efficient	minimization	of convex surrogates in supervised learning
On the exact	minimization	of saturated loss functions for robust regression and subspace estimation
On the	minimization	of Glass-to-Glass and Glass-to-Algorithm Delay in Video Communication
On the Null Space Constant for L_p	minimization
On Total Variation Denoising: A New Majorization-	minimization	Algorithm and an Experimental Comparison with Wavalet Denoising
On Total Variation	minimization	and Surface Evolution Using Parametric Maximum Flows
On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank	minimization
On-line Stereo Self-calibration through	minimization	of Matching Costs
Online EV Charge Scheduling Based on Time-of-Use Pricing and Peak Load	minimization	: Properties and Efficient Algorithms
Online Heterogeneous Face Recognition Based on Total-Error-Rate	minimization
Optic disk localization using L1	minimization
Optical Flow and Image Registration: A New Local Rigidity Approach for Global	minimization
Optical Remote Sensing Image Registration Using Spatial-Consistency and Average Regional Information Divergence	minimization	via Quantum-Behaved Particle Swarm Optimization
Optimal mean two-dimensional principal component analysis with F-norm	minimization
Optimal Threshold Selection for Tomogram Segmentation by Projection Distance	minimization
Optimal Transport	minimization	: Crowd Localization on Density Maps for Semi-Supervised Counting
Optimization of Face Relevance Maps with Total Classification Error	minimization
Optimization Techniques for Geometric Estimation: Beyond	minimization
Optimization without	minimization	Search: Constraint Satisfaction by Orthogonal Projection with Applications to Multiview Triangulation
Optimized Coded Aperture Design in Compressive Spectral Imaging Via Coherence	minimization
Orientation-Matching	minimization	for Image Denoising and Inpainting
Orthonormal expansion L1-	minimization	for compressed sensing in MRI
Out-of-Core Surface Reconstruction via Global TGV	minimization
Parallel Proximal Algorithm for Anisotropic Total Variation	minimization	, A
Parameter Encoding for ECRB	minimization	in the Presence of Jamming
Parameter Estimation and Energy	minimization	for Region-Based Semantic Segmentation
Parametric Majorization for Data-Driven Energy	minimization	Methods
Partial Sum	minimization	of Singular Values in Robust PCA: Algorithm and Applications
Partial Sum	minimization	of Singular Values in RPCA for Low-Level Vision
Partition Constrained	minimization	Scheme for Efficient Multiphase Level Set Image Segmentation, A
Pedestrian detection in images via cascaded L1-norm	minimization	learning method
Phase retrieval from incomplete data via weighted nuclear norm	minimization
Phase retrieval from intensity-only data by relative entropy	minimization
Phase retrieval from noisy data based on	minimization	of penalized I-divergence
phi,phi*) Image Decomposition Models and	minimization	Algorithms
Pixel recovery via el	minimization	in the wavelet domain
Polarimetric and Interferometric SAR Image Partition Into Statistically Homogeneous Regions Based on the	minimization	of the Stochastic Complexity
Polarization-based specularity removal method with global energy	minimization
Polygon Decomposition and Switching Function	minimization
Pose-Invariant Face Matching Using MRF Energy	minimization	Framework
Practical Matrix Completion and Corruption Recovery Using Proximal Alternating Robust Subspace	minimization
Predicted multi-variable intelligent matching pursuit algorithm for image sequences reconstruction based on l0	minimization
Primal-dual interior-point optimization based on majorization-	minimization	for edge-preserving spectral unmixing
Progressive Band Processing of Constrained Energy	minimization	for Subpixel Detection
Projective Reconstruction from Multiple Views with	minimization	of 2D Reprojection Error
Prominent moving object segmentation from moving camera video shots using iterative energy	minimization
Proximal Riemannian Pursuit for Large-Scale Trace-Norm	minimization
QR codes blind deconvolution algorithm based on binary characteristic and L0 norm	minimization
Quasi-five point algorithm with non-linear	minimization
Quaternion-based weighted nuclear norm	minimization	for color image restoration
Radiometric Calibration by Rank	minimization
Range-Angle Decoupling and Estimation for FDA-MIMO Radar via Atomic Norm	minimization	and Accelerated Proximal Gradient
Rank	minimization	across Appearance and Shape for AAM Ensemble Fitting
Rank	minimization	approach to image inpainting using null space based alternating optimization
Rank	minimization	Approach to Video Inpainting, A
Rank	minimization	Code Aperture Design for Spectrally Selective Compressive Imaging
Rank	minimization	for Snapshot Compressive Imaging
Rank	minimization	or Nuclear-Norm Minimization: Are We Solving the Right Problem?
Rank	minimization	or Nuclear-Norm Minimization: Are We Solving the Right Problem?
Rank	minimization	with Structured Data Patterns
rank	minimization	-based late fusion method for multi-label image annotation, A
Real-Time	minimization	of the Piecewise Smooth Mumford-Shah Functional
REALM: Robust Entropy Adaptive Loss	minimization	for Improved Single-Sample Test-Time Adaptation
Reconstruction of Compressed-Sensed Multiview Video With Disparity- and Motion-Compensated Total Variation	minimization
Recovering Camera Motion Using L-inf	minimization
Recovering Piecewise Smooth Multichannel Images by	minimization	of Convex Functionals with Total Generalized Variation Penalty
Recovery of corrupted low-rank matrices via half-quadratic based nonconvex	minimization
Recursive projection twin support vector machine via within-class variance	minimization
Recursive SURE for image recovery via total variation	minimization
Regularization Paths for Re-Weighted Nuclear Norm	minimization
Regularized Generalized Inverse Accelerating Linearized Alternating	minimization	Algorithm for Frame-Based Poissonian Image Deblurring
Relaxation of Hard Classification Targets for LSE	minimization
residual generator: An improved divergence	minimization	framework for GAN, The
Resolving the Generalized Bas-Relief Ambiguity by Entropy	minimization
Restoration of images corrupted by mixed Gaussian-impulse noise via l1-l0	minimization
Revisiting the Linear Programming Relaxation Approach to Gibbs Energy	minimization	and Weighted Constraint Satisfaction
Revisiting Vicinal Risk	minimization	for Partially Supervised Multi-Label Classification Under Data Scarcity
Reweighted Non-Convex Non-Smooth Rank	minimization	Based Spectral Clustering on Grassmann Manifold
Reweighted Nuclear Norm and Reweighted Frobenius Norm	minimization	s for Narrowband RFI Suppression on SAR System
RFI Suppression Based on Atomic Norm	minimization	in SAR Signal Recovery
RFI Suppression for SAR via a Dictionary-Based Nonconvex Low-Rank	minimization	Framework and Its Adaptive Implementation
RGB-D Saliency Detection via Cascaded Mutual Information	minimization
RIP Analysis for L1/Lp (p>1)	minimization	Method
Risk	minimization	in Traitors within Traitors in Multimedia Forensics
Robust Energy	minimization	Algorithm for MS-Lesion Segmentation, A
Robust Energy	minimization	for BRDF-Invariant Shape from Light Fields
Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness	minimization
Robust High Dynamic Range Imaging by Rank	minimization
Robust Image and Video Dehazing with Visual Artifact Suppression via Gradient Residual	minimization
Robust late fusion with rank	minimization
Robust low tubal rank tensor completion via factor tensor norm	minimization
Robust Low-Rank Tensor	minimization	via a New Tensor Spectral k-Support Norm
Robust Low-Rank Tensor Recovery via Nonconvex Singular Value	minimization
Robust Matrix Factorization by Majorization	minimization
Robust	minimization	of lighting variation for real-time defect detection
Robust multi-source co-adaptation with adaptive loss	minimization
Robust Multichannel Blind Deconvolution via Fast Alternating	minimization
Robust Multiview Registration of 3D Surfaces via L_1-norm	minimization
Robust Point Correspondence by Concave	minimization
Robust Principal Component Pursuit via Inexact Alternating	minimization	on Matrix Manifolds
Robust RGB-Guided Super-Resolution of Hyperspectral Images via TV^3	minimization
Robust Simultaneous 3D Registration via Rank	minimization
Robust Single-Image Super-Resolution via CNNs and TV-TV	minimization
Robust Sparse Learning Based on Kernel Non-Second Order	minimization
Robust Subspace Clustering via Half-Quadratic	minimization
Robust Timing Calibration for PET Using L1-Norm	minimization
Robust Visual Tracking Using L1	minimization
Room reconstruction from a single spherical image by higher-order energy	minimization
Saliency Detection via Nonlocal L_0	minimization
Salient object detection with low-rank approximation and l2,1-norm	minimization
Sample Complexity of Total Variation	minimization
SAR Doppler Ambiguity Resolver Based on Entropy	minimization
SAR Image Regularization With Fast Approximate Discrete	minimization
SAR Image Segmentation by Stochastic Complexity	minimization	With a Nonparametric Noise Model
SAR Pixelwise Registration via Multiscale Coherent Point Drift With Iterative Residual Map	minimization
SAR Tomography Based on Atomic Norm	minimization	in Urban Areas
Scale invariant line-based co-registration of multimodal aerial data using L1	minimization	of spatial and angular deviations
Scale variance	minimization	for unsupervised domain adaptation in image segmentation
Screen content image segmentation using sparse decomposition and total variation	minimization
Segmentation and Grouping of Object Boundaries Using Energy	minimization
Segmentation by a Local and Global Fuzzy Gaussian Distribution Energy	minimization	of an Active Contour Model
Selection of Local Thresholds for Tomogram Segmentation by Projection Distance	minimization
Self-Adaptive Filtering for Ultra-Large-Scale Airborne LiDAR Data in Urban Environments Based on Object Primitive Global Energy	minimization
Semi-explicit Solution and Fast	minimization	Scheme for an Energy with L1-Fitting and Tikhonov-Like Regularization
Semi-Linearized Proximal Alternating	minimization	for a Discrete Mumford-Shah Model
Semi-Supervised Background Subtraction Of Unseen Videos:	minimization	of the Total Variation Of Graph Signals
Semi-supervised Robust Dictionary Learning via Efficient l-Norms	minimization
Separation of Bones From Chest Radiographs by Means of Anatomically Specific Multiple Massive-Training ANNs Combined With Total Variation	minimization	Smoothing
Sequential L-inf Norm	minimization	for Triangulation
Shape Recovery and Error Correction Based on Hypothetical Constraints by Parallel Network for Energy	minimization
Similarity invariant classification of events by KL divergence	minimization
Similarity Learning for 3D Object Retrieval Using Relevance Feedback and Risk	minimization
Similarity Score Fusion By Ranking Risk	minimization	for 3D Object Retrieval
Simplex	minimization	for single- and multiple-reference motion estimation
Simultaneous Registration and Segmentation by L1	minimization
Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation	minimization	and Its Primal-Dual Splitting Algorithm
Single Image Dehazing Based on Dark Channel Prior and Energy	minimization
Single-particle reconstruction in cryo-EM based on three-dimensional weighted nuclear norm	minimization
Sliced inverse regression with conditional entropy	minimization
Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares	minimization
Smoothing Nonlinear Conjugate Gradient Method For Image Restoration Using Nonsmooth Nonconvex	minimization
Snapshot Multispectral Image Completion Via Self-Dictionary Transformed Tensor Nuclear Norm	minimization	With Total Variation
Solution Space Analysis of Essential Matrix Based on Algebraic Error	minimization
Solving MRF	minimization	by Mirror Descent
Solving the Sparse Data Image Restoration Problem by Local	minimization
Space-Efficient Outlines from Image Data via Vertex	minimization	and Grid Constraints
Sparse Network Completion via Discrete-Constrained Nuclear-Norm	minimization
Sparse signal recovery based on nonconvex entropy	minimization
Sparse Signal Recovery by L_q	minimization	Under Restricted Isometry Property
Sparse Structures in L-Infinity Norm	minimization	for Structure and Motion Reconstruction
Sparse subspace clustering via smoothed LP	minimization
Sparse time-frequency distributions based on the L1-norm	minimization	with the fast intersection of confidence intervals rule
Sparse Weighted Constrained Energy	minimization	for Accurate Remote Sensing Image Target Detection
Spatial and Fourier Error	minimization	for Motion Estimation and Segmentation
Spatiotemporal traffic data imputation via tensorial weighted Schatten-p norm	minimization
Speckle Reduction in Ultrasound Images by	minimization	of Total Variation
Speckle Suppression Based on Weighted Nuclear Norm	minimization	and Grey Theory
Spectral Estimation Framework for Phase Retrieval via Bregman Divergence	minimization	, A
Specular-Free Residual	minimization	for Photometric Stereo with Unknown Light Sources
Specularity removal: A global energy	minimization	approach based on polarization imaging
Spherical Designs and Nonconvex	minimization	for Recovery of Sparse Signals on the Sphere
Split Bregman Method for	minimization	of Region-Scalable Fitting Energy for Image Segmentation
Stable Image Reconstruction Using Total Variation	minimization
Stable Image Reconstruction Using Transformed Total Variation	minimization
Statistical Optimization for Geometric Estimation:	minimization	vs. Non-minimization
Statistical Optimization for Geometric Estimation:	minimization	vs. Non-minimization
Stereo-based 3D Face Modeling using Annealing in Local Energy	minimization
Stochastic Proximal Alternating	minimization	for Nonsmooth and Nonconvex Optimization, A
Stop Condition for Subgradient	minimization	in Dual Relaxed (max,+) Problem
Structure Adaptive Total Variation	minimization	-Based Image Decomposition
Structure-from-motion based hand-eye calibration using L-inf	minimization
Subspace segmentation with a large number of subspaces using infinity norm	minimization
Supervised Learning of Quantizer Codebooks by Information Loss	minimization
Surface completion of shape and texture based on energy	minimization
Surface Extraction from TIN based Search-space	minimization	(SETSM) algorithm, The
Surface reconstruction from unorganized points with l0 gradient	minimization
Surrogate Projection Method for the Constrained	minimization	of Residual Energy in Image Restoration, A
Synthesizing realistic facial animations using energy	minimization	for model-based coding
Synthetic aperture imaging using pixel labeling via energy	minimization
Technique for Lung Nodule Candidate Detection in CT Using Global	minimization	Methods, A
Tensor Cascaded-Rank	minimization	in Subspace: A Unified Regime for Hyperspectral Image Low-Level Vision
Tensor Completion via Generalized Tensor Tubal Rank	minimization	Using General Unfolding
Tensor Robust Principal Component Analysis via Tensor Fibered Rank and l_p	minimization
Text Line Extraction Using Fully Convolutional Network and Energy	minimization
Text-Line Extraction in Handwritten Chinese Documents Based on an Energy	minimization	Framework
Theoretical Foundation of the Stretch Energy	minimization	for Area-Preserving Simplicial Mappings
Three-Dimensional Localization Method for Multistatic SAR Based on Numerical Range-Doppler Algorithm and Entropy	minimization	, A
Time Delay Estimation Via Wasserstein Distance	minimization
Total Power	minimization	for Multiuser Video Communications Over CDMA Networks
Total variation for cyclic structures: Convex relaxation and efficient	minimization
Total Variation	minimization	and a Class of Binary MRF Models
Total Variation	minimization	and Graph Cuts for Moving Objects Segmentation
Total Variation	minimization	by the Fast Level Sets Transform
Total Variation	minimization	for Measure-Valued Images with Diffusion Spectrum Imaging as Motivation
Total Variation	minimization	with Separable Sensing Operator
Total-Variation	minimization	on Unstructured Volumetric Mesh: Biophysical Applications on Reconstruction of 3D Ischemic Myocardium
Towards Efficient and Scalable Sharpness-Aware	minimization
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy	minimization
Tracking of Linear Appearance Models Using Second Order	minimization
Training neural network classifiers through Bayes risk	minimization	applying unidimensional Parzen windows
Transformation of General Binary MRF	minimization	to the First-Order Case
Truncated L_1-2 Models for Sparse Recovery and Rank	minimization
Truncated Nuclear Norm	minimization	Based Group Sparse Representation for Image Restoration
Ultrasound Image Restoration Using Weighted Nuclear Norm	minimization
Ultrasound Speckle Reduction via L0	minimization
Uncertainty	minimization	in multi-sensor localization systems using model selection theory
Uncertainty	minimization	in the Localization of Polyhedral Objects
Unified Alternating Direction Method of Multipliers by Majorization	minimization	, A
Unified Energy	minimization	Framework for Model Fitting in Depth, A
Unifying Energy	minimization	and Mutual Information Maximization for Robust 2D/3D Registration of X-Ray and CT Images
Uniqueness characteristics of the 2-D IIR mean squared error	minimization
Uniqueness Guarantee of Solutions of Tensor Tubal-Rank	minimization	Problem
Unitary Transform-Based Template Protection and Its Application to l2-norm	minimization	Problems
Unsupervised Clustering Method Using the Entropy	minimization	, An
Unsupervised discriminative feature selection in a kernel space via L2,1-norm	minimization
Unsupervised Domain Adaptation by Multi-Loss Gap	minimization	Learning for Person Re-Identification
Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy	minimization
Unsupervised Multiclass Region Cosegmentation via Ensemble Clustering and Energy	minimization
Unsupervised Open Domain Recognition by Semantic Discrepancy	minimization
Unsupervised SAR Image Change Detection Based on Histogram Fitting Error	minimization	and Convolutional Neural Network
Use of Binary Partition Tree and energy	minimization	for object-based classification of urban land cover
use of deep learning features in a hierarchical classifier learned with the	minimization	of a non-greedy loss function that delays gratification, The
use of entropy	minimization	for the solution of blind source separation problems in image analysis, The
Value-Function-Based Sequential	minimization	for Bi-Level Optimization
Variable grouping for energy	minimization
Variance	minimization	Criterion to Feature Selection Using Laplacian Regularization, A
Variant of Point-to-Plane Registration including Cycle	minimization	, A
Variational framework for low-light image enhancement using optimal transmission map and combined and -	minimization
Various density light field image coding based on distortion	minimization	interpolation
Vectorial Self-dual Morphological Filter Based on Total Variation	minimization	, A
Vehicle Behavior Learning via Sparse Reconstruction with L_2-L_p	minimization	and Trajectory Similarity
Verifying global minima for L2	minimization	problems
Verifying Global Minima for L_2	minimization	Problems in Multiple View Geometry
Video Synopsis Based on a Sequential Distortion	minimization	Method
Visual correspondence using energy	minimization	and mutual information
Watershed algorithm for moving object extraction considering energy	minimization	by snakes
Weakly Constrained	minimization	: Application to the Estimation of Images and Signals Involving Constant Regions
Weakly Supervised Distribution Discrepancy	minimization	Learning With State Information for Person Re-Identification
Weighted Nuclear Norm	minimization	and Its Applications to Low Level Vision
Weighted Nuclear Norm	minimization	with Application to Image Denoising
Weighted Schatten P-Norm	minimization	with Local and Nonlocal Constraints for Noisy Image Completion
Weighted Schatten-p Norm	minimization	for Image Denoising and Background Subtraction
Weighted sparse coding residual	minimization	for visual tracking
Weighted Sums of Random Kitchen Sinks: Replacing	minimization	NIPS08
Weighted tensor nuclear norm	minimization	for color image denoising
Weighted tensor nuclear norm	minimization	for tensor completion using tensor-SVD

755 for minimization

_	minimization†	_
Sparse Subspace Clustering With Sequentially Ordered and Weighted L1-	minimization†

_	minimize	_
Activity aware video collection to	minimize	resource usage in smart camera nodes
Approach to	minimize	Atmospheric Correction Error and Improve Physics-Based Satellite-Derived Bathymetry in a Coastal Environment, An
block parallel majorize-	minimize	memory gradient algorithm, A
Camera-Based Energy Relaxation Framework to	minimize	Color Artifacts in a Projected Display, A
Class Selective Rejection Rule to	minimize	the Maximum Distance Between Selected Classes
Classification of binary vectors by using SC distance to	minimize	stochastic complexity
Convergence Rate Analysis of the Majorize:	minimize	Subspace Algorithm
Cooperative Control of Metro Trains to	minimize	Net Energy Consumption
Cylindrical Rectification to	minimize	Epipolar Distortion
Deep Deterministic Policy Gradient to	minimize	the Age of Information in Cellular V2X Communications
Double-Loop Algorithm to	minimize	the Bethe and Kikuchi Free Energies, A
Double-Loop Algorithm to	minimize	the Bethe Free Energy, A
Efficient Classifier Training to	minimize	False Merges in Electron Microscopy Segmentation
Expanded Theoretical Treatment of Iteration-Dependent Majorize-	minimize	Algorithms, An
Fast Majorize-	minimize	Algorithm for the Recovery of Sparse and Low-Rank Matrices, A
Fast Method to	minimize	L-inf Error Norm for Geometric Vision Problems, A
free-form surface flattening algorithm that	minimize	s geometric deformation energy, A
Freeman Digitization of Integer Circles	minimize	s the Radial Error
Fuzzy relations applied to	minimize	over segmentation in watershed algorithms
Image Compression by Learning to	minimize	the Total Error
improved multiscale retinex algorithm for motion-blurred iris images to	minimize	the intra-individual variations, An
Improving Group Transit Schemes to	minimize	Negative Effects of Maritime Piracy
Learning from mobile contexts to	minimize	the mobile location search latency
Learning to	minimize	the Remainder in Supervised Learning
Learning Weighted Metrics to	minimize	Nearest-Neighbor Classification Error
majorize-	minimize	approach for high-quality depth upsampling, A
Majorize-	minimize	Framework for Rician and Non-Central Chi MR Images, A
majorize-	minimize	memory gradient algorithm applied to X-ray tomography, A
Majorize-	minimize	Strategy for Subspace Optimization Applied to Image Restoration, A
Majorize-	minimize	Subspace Approach for L_2-L_0 Image Regularization, A
	minimize	Collision Risk Global Planner Based Voronoi Graph for Mobile Robot
Multiple Train Trajectory Optimization to	minimize	Energy Consumption and Delay, A
Multiplicative updates algorithm to	minimize	the generalized total variation functional with a non-negativity constraint
New Approach to	minimize	the Energy of Deformable Contours, A
novel multilayer neural networks training algorithm that	minimize	s the probability of classification error, A
Objective Detection of Eloquent Axonal Pathways to	minimize	Postoperative Deficits in Pediatric Epilepsy Surgery Using Diffusion Tractography and Convolutional Neural Networks
Optimal Sample Data Usage Strategy to	minimize	Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data, An
Rectifying Transformations That	minimize	Resampling Effects
Signal Processing Approaches to	minimize	or Suppress Calibration Time in Oscillatory Activity-Based Brain-Computer Interfaces
Stage of Decay Estimation Exploiting Exogenous and Endogenous Image Attributes to	minimize	Manual Labeling Efforts and Maximize Classification Performance
Timetable Optimization for Metro Lines Connecting to Intercity Railway Stations to	minimize	Passenger Waiting Time
Train-Network-HESS Integrated Optimization for Long-Distance AC Urban Rail Transit to	minimize	the Comprehensive Cost
Training DHMMs of mine and clutter to	minimize	landmine detection errors
Two Distributions Designed to	minimize	the Expected Delay in CSMA Networks
wavelet filter bank which	minimize	s a novel translation invariant discrete uncertainty measure, A

45 for minimize

_	minimized	_
Energy-	minimized	wireless video transmissions via sharing of retransmission limits
fast H.264 compressed domain watermarking scheme with	minimized	propagation error based on macro-block dependency analysis, A
Image Dehazing by Joint Estimation of Transmittance and Airlight Using Bi-Directional Consistency Loss	minimized	FCN
Image Registration Based on a	minimized	Cost Function and SURF Algorithm
	minimized	Database of Unit Selection in Visual Speech Synthesis without Loss of Naturalness
Operations on Binary Images Encoded as	minimized	Boolean Functions
Power-	minimized	bit allocation for video communication over wireless channels
Safety-Guaranteed and Development Cost-	minimized	Scheduling of DAG Functionality in an Automotive System
SE3: Sequential Semantic Segmentation of Large Images with	minimized	Memory
Target-Constrained Interference-	minimized	Band Selection for Hyperspectral Target Detection
Translation and Rotation of Binary Images Encoded as	minimized	Boolean Functions
What Energy Functions Can Be	minimized	via Graph Cuts?

12 for minimiz

_	minimizer	_
Bounds on the	minimizer	s of (nonconvex) Regularized Least-Squares
Description of the	minimizer	s of Least Squares Regularized with L_0-norm. Uniqueness of the Global Minimizer
Description of the	minimizer	s of Least Squares Regularized with L_0-norm. Uniqueness of the Global Minimizer
Either Fit to Data Entries or Locally to Prior: The	minimizer	s of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization
Fully Smoothed L_1-TV Models: Bounds for the	minimizer	s and Parameter Choice
Level Lines as Global	minimizer	s of Energy Functionals in Image Segmentation
Locally Homogeneous Images as	minimizer	s of Objective Functions
Optimal Level Curves and Global	minimizer	s of Cost Functionals in Image Segmentation
Power	minimizer	Symbol-Level Precoding: A Closed-Form Suboptimal Solution
Properties of	minimizer	s of the total variation and of the solutions of the total variation flow
Rotation Averaging with the Chordal Distance: Global	minimizer	s and Strong Duality
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?
Uncertainty Principle: Group Theoretic Approach, Possible	minimizer	s and Scale-Space Properties, The

13 for minimizer

_	minimizing	_
Accurate Estimation of Discontinuous Optical Flow by	minimizing	Divergence Related Functionals
AdaBest:	minimizing	Client Drift in Federated Learning via Adaptive Bias Estimation
Adaptive Compressed Sensing via	minimizing	Cramer-Rao Bound
algorithm for	minimizing	the Mumford-Shah functional, An
Area and Length	minimizing	Flows for Shape Segmentation
Area	minimizing	Flows
Automated B-Spline Curve Representation Incorporating MDL and Error-	minimizing	Control Point Insertion Strategies
Automatic Algorithm For	minimizing	Anomalies And Discrepancies In Point Clouds Acquired By Laser Scanning Technique, An
Automatic Compensation of Radial Distortion by	minimizing	Entropy of Histogram of Oriented Gradients
Automatically adjustable and self-testing dual technology intrusion detection system for	minimizing	false alarms
Bias	minimizing	filter design for gradient-based image registration
Bit Error-Rate	minimizing	Detector for Amplify-and-Forward Relaying Systems Using Generalized Gaussian Kernel
Boundary Detection by	minimizing	Functionals
CASCARO: Cascade of classifiers for	minimizing	the cost of prediction
CLIPath: Fine-tune CLIP with Visual Feature Fusion for Pathology Image Analysis Towards	minimizing	Data Collection Efforts
Cluster-Promoting Quantization with Bit-Drop for	minimizing	Network Quantization Loss
Color Image Palette Construction Based on the HSI Color System for	minimizing	the Reconstruction Error
Color Image Quantization by	minimizing	the Maximum Intercluster Distance
Combinatorial Pyramids and Discrete Geometry for Energy-	minimizing	Segmentation
Comments on Globally Maximizing, Locally	minimizing	: Unsupervised Discriminant Projection with Application to Face and Palm Biometrics
Communication-	minimizing	2D convolution in GPU registers
comparison of techniques to optimize measurement of voltage changes in electrical impedance tomography by	minimizing	phase shift errors, A
Computational Algorithm for	minimizing	Total Variation in Image Restoration, A
Consistency-based Semi-supervised Active Learning: Towards	minimizing	Labeling Cost
CQ+ Training:	minimizing	Accuracy Loss in Conversion From Convolutional Neural Networks to Spiking Neural Networks
Cross-Domain Leaf Counting with	minimizing	Feature Distances
Data Hiding in Binary Images with Distortion-	minimizing	Capabilities by Optimal Block Pattern Coding and Dynamic Programming Techniques
Data-Efficient Learning via	minimizing	Hyperspherical Energy
Deep Fair Clustering via Maximizing and	minimizing	Mutual Information: Theory, Algorithm and Metric
Designing Robust Air Transportation Networks via	minimizing	Total Effective Resistance
Designing Spatially Coherent	minimizing	Flows for Variational Problems Based on Active Contours
Determining Optical Flow for Irregular Domains by	minimizing	Quadratic Functionals of a Certain Class
Diffeomorphic Matching Problems in One Dimension: Designing and	minimizing	Matching Functionals
Dimensionality reduction by	minimizing	nearest-neighbor classification error
Discrete Models for Energy-	minimizing	Segmentation
Effective Rate Control Method for	minimizing	Temporal Fluctuations in Picture Quality Applicable for MPEG-4 AVC/H.264 Encoding
effective weighted vector median filter for impulse noise reduction based on	minimizing	the degree of aggregation, An
Efficient Loss Function by	minimizing	the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks
Efficient Shape Representation by	minimizing	the Set of Centers of Maximal Discs/Spheres
Estimating Model Parameters and Boundaries By	minimizing	a Joint, Robust Objective Function
Estimating Peanut Leaf Chlorophyll Content with Dorsiventral Leaf Adjusted Indices:	minimizing	the Impact of Spectral Differences between Adaxial and Abaxial Leaf Surfaces
Estimation of binary images by	minimizing	convex criteria
Face alignment by	minimizing	the closest classification distance
Fast Algorithm for Multidimensional Ellipsoid-Specific Fitting by	minimizing	a New Defined Vector Norm of Residuals Using Semidefinite Programming, A
Fast Multi-Grid Methods for	minimizing	Curvature Energies
Fast Roughness	minimizing	Image Restoration Under Mixed Poisson-Gaussian Noise
filter design method for	minimizing	ringing in a region of interest in MR spectroscopic images, A
Framework for Moving Least Squares Method with Total Variation	minimizing	Regularization, A
globally convergent algorithm for	minimizing	over the rotation group of quadratic forms, A
Globally Maximizing, Locally	minimizing	: Unsupervised Discriminant Projection with Applications to Face and Palm Biometrics
Greedy Approximation of Kernel PCA by	minimizing	the Mapping Error
High Capacity Data Hiding Scheme for Binary Images Based on	minimizing	Flipping Distortion
Histogram Thresholding by	minimizing	Graylevel Fuzziness
Image analysis system and method for	minimizing	paralysis angle
Image data compression without distortion by	minimizing	entropy
Image Labeling and Grouping by	minimizing	Linear Functionals over Cones
Image restoration by	minimizing	objective functions with non-smooth data-fidelity terms
Image thresholding by	minimizing	the measures of fuzziness
Image-based Topography Reconstruction by	minimizing	the Reprojection-Error over a Surface
Improved Approach for Downscaling Coarse-Resolution Thermal Data by	minimizing	the Spatial Averaging Biases in Random Forest, An
Intensity-Based Image Registration by	minimizing	Residual Complexity
Interpolating Cubic Spline Contours by	minimizing	Second Derivative Discontinuity
Iterative-Mode Scan Design of Terrestrial Laser Scanning in Forests for	minimizing	Occlusion Effects, An
Learn to Unlearn for Deep Neural Networks:	minimizing	Unlearning Interference with Gradient Projection
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by	minimizing	Global Loss Functions
Learning Mixtures of Weighted Tree-Unions by	minimizing	Description Length
Level Set Algorithm for	minimizing	the Mumford-Shah functional in Image Processing, A
Machine Learning Based on	minimizing	Robust Mean Estimates
Method and apparatus for	minimizing	artifacts in images produced by error diffusion halftoning
Method and apparatus for	minimizing	artifacts in images produced by error diffusion halftoning utilizing ink reduction processing
Method and associated apparatus for	minimizing	the effects of motion in the recording of an image
Method for	minimizing	visual artifacts converting two-dimensional motion pictures into three-dimensional motion pictures
Metric learning by directly	minimizing	the k-NN training error
	minimizing	a weighted error criterion for spatial error concealment of missing image data
	minimizing	Algebraic Error in Geometric Estimation Problems
	minimizing	Calibration Time for Brain Reading
	minimizing	Cost-Plus-Dissatisfaction in Online EV Charging Under Real-Time Pricing
	minimizing	Count-Based High Order Terms in Markov Random Fields
	minimizing	dataset bias: Discriminative multi-task sparse coding through shared subspace learning for image classification
	minimizing	Discrete Total Curvature for Image Processing
	minimizing	distortion for multi-path video streaming over ad hoc networks
	minimizing	Energies with Hierarchical Costs
	minimizing	Energy Consumption of Deep Learning Models by Energy-Aware Training
	minimizing	energy functions on 4-connected lattices using elimination
	minimizing	Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation
	minimizing	Geometric Distance by Iterative Linear Optimization
	minimizing	hallucination in histogram of Oriented Gradients
	minimizing	Height Effects in MTInSAR for Deformation Detection Over Built Areas
	minimizing	Human Effort in Interactive Tracking by Incremental Learning of Model Parameters
	minimizing	Illumination Differences for 3D to 2D Face Recognition Using Lighting Maps
	minimizing	Latency and Jitter for Large-Scale Multimedia Repositories Through Prefix Caching
	minimizing	Layerwise Activation Norm Improves Generalization in Federated Learning
	minimizing	Maximum Model Discrepancy for Transferable Black-box Targeted Attacks
	minimizing	Measurement-Induced Errors in Viscoelastic MR Elastography
	minimizing	Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach
	minimizing	Nonsubmodular Functions with Graph Cuts-A Review
	minimizing	Pixel Expansion in Visual Cryptographic Scheme for General Access Structures
	minimizing	Reconstruction Bias Hashing via Joint Projection Learning and Quantization
	minimizing	Reflectance Anisotropy Effects in Airborne Spectroscopy Data Using Ross-Li Model Inversion With Continuous Field Land Cover Stratification
	minimizing	ringing effect on images coded at low bit rates with wavelets
	minimizing	sparse higher order energy functions of discrete variables
	minimizing	Spatial Deformation Method for Online Signature Matching
	minimizing	stochastic moire in frequency-modulated halftones by means of green-noise masks
	minimizing	Supervision for Free-Space Segmentation
	minimizing	Supervision in Multi-label Categorization
	minimizing	TGV-Based Variational Models with Non-convex Data Terms
	minimizing	the Accumulated Trajectory Error to Improve Dataset Distillation
	minimizing	the Computation Time for Using the Technique of Sectioning for Digital Filtering of Pictures
	minimizing	the Computing Complexity of Iterative Sequential Thinning Algorithm
	minimizing	the Cost of Errors with a Markov Random Field
	minimizing	the description length using steepest descent
	minimizing	the Disruption of Traffic Flow of Automated Vehicles During Lane Changes
	minimizing	the Effect of Sampling Jitters in Wireless Sensor Networks
	minimizing	the Imbalance Problem in Chromatographic Profile Classification with One-Class Classifiers
	minimizing	the impact of spoof fabrication material on fingerprint liveness detector
	minimizing	the Maximal Rank
	minimizing	the Multi-view Stereo Reprojection Error for Triangular Surface Meshes
	minimizing	the Number of Keypoint Matching Queries for Object Retrieval
	minimizing	the Perceptual Impact of Visual Distortion in Scalable Wavelet Compressed Video
	minimizing	the Reprojection Error in Surface Reconstruction from Images
	minimizing	the Residual Topography Effect on Interferograms to Improve DInSAR Results: Estimating Land Subsidence in Port-Said City, Egypt
	minimizing	the Standard Deviation of Spatially Averaged Surface Cross-Sectional Data From the Dual-Frequency Precipitation Radar
	minimizing	the Statistical Impact of LSB Steganography
	minimizing	the Total Liner Shipping Route Service Costs via Application of an Efficient Collaborative Agreement
	minimizing	the total variation under a general convex constraint for image restoration
	minimizing	Timing Jitter's Impact on Ground-Penetrating Radar Array Coupling Signals
	minimizing	Training Data for Reliable Writer Identification in Medieval Manuscripts
	minimizing	Transmission Energy in Wireless Video Communications
	minimizing	uncertainty in determinants and ratios of determinants for invariant relationships employed in SAR imagery pattern recognition
	minimizing	User Annotations in the Generation of Layout Ground-Truthed Data
	minimizing	user interaction by automatic and semi-automatic relevance feedback for image retrieval
Model-Based Methodology for Validation of Traffic Flow Detectors by	minimizing	Human Bias in Video Data Processing
Mr.BiQ: Post-Training Non-Uniform Quantization based on	minimizing	the Reconstruction Error
Multi-Channel HEVC Steganography by	minimizing	IPM Steganographic Distortions
Multi-modal image registration by	minimizing	Kullback-Leibler distance between expected and observed joint class histograms
Multiple Contour Finding and Perceptual Grouping as a Set of Energy	minimizing	Paths
Multiview Registration of 3D Scenes by	minimizing	Error between Coordinate Frames
Multiview stereo and silhouette fusion via	minimizing	generalized reprojection error
MUMC:	minimizing	uncertainty of mixture of cues
Neural network for ordinal classification of imbalanced data by	minimizing	a Bayesian cost
new rate-	minimizing	matching criterion and a fast algorithm for block motion estimation, A
Noniterative Interpolation-Based Super-Resolution	minimizing	Aliasing in the Reconstructed Image
Novel Method of	minimizing	View Synthesis Distortion Based on Its Non-Monotonicity in 3D Video, A
On	minimizing	the Age of Information in NOMA-Based Vehicular Networks Using Markov Decision Process
Optimal Design of Tractive Layout for	minimizing	the Insufficient Displacement of Railway Turnout
Optimal Distribution of Traffic in Manhattan Road Networks for	minimizing	Routing-Time
Optimal power allocation for	minimizing	visual distortion over MIMO communication systems
Optimally Redundant, Seek-Time	minimizing	Data Layout for Interactive Rendering
Optimizing FEC Transmission Strategy for	minimizing	Delay in Lossless Sequential Streaming
Outlier Robust ICP for	minimizing	Fractional RMSD
Parallel Douglas-Rachford Algorithm for	minimizing	ROF-like Functionals on Images with Values in Symmetric Hadamard Manifolds, A
Parameter estimation, multiscale representation and algorithms for energy-	minimizing	segmentations
Point Cloud Completion By	minimizing	Prediction Errors In Both 2D And 3D Spaces
Prediction Mode-Based Information Hiding Approach for H.264/AVC Videos	minimizing	the Impacts on Rate-Distortion Optimization, A
Product Approximation by	minimizing	the Upper Bound of Bayes Error Rate for Bayesian Combination of Classifiers
Ranking Regularization for Critical Rare Classes:	minimizing	False Positives at a High True Positive Rate
Rebalancing Bike Sharing Systems for	minimizing	Depot Inventory and Traveling Costs
Region Detection by	minimizing	Intraclass Variance With Geometric Constraints, Global Optimality, and Efficient Approximation
Registration of surfaces	minimizing	error propagation for a one-shot multi-slit hand-held scanner
Regularizing Neural Networks via	minimizing	Hyperspherical Energy
relaxation algorithm for	minimizing	the L2 reconstruction error in 2-D nonorthogonal subband coding, A
Removing outliers by	minimizing	the sum of infeasibilities
Scalable proxy caching algorithm	minimizing	client's buffer size and channel bandwidth
Seam-line determination for image mosaicking: A technique	minimizing	the maximum local mismatch and the global cost
Seamless image stitching by	minimizing	false edges
Segmentation of Visual Motion by	minimizing	Convex Non-Quadratic Functionals
Semantic and edge-based visual odometry by joint	minimizing	semantic and edge distance error
Smile: Sequence-to-Sequence Domain Adaptation with	minimizing	Latent Entropy for Text Image Recognition
Smoothing of Outliers in Image Restoration by	minimizing	Regularized Objective Functions with Nonsmooth Data-fidelity Terms
Solving Ill-Conditioned Problems by	minimizing	Equation Error
Some Differential-Geometric Remarks on a Method for	minimizing	Constrained Functionals of Matrix-Valued Functions
sparsity driven kernel machine based on	minimizing	a generalization error bound, A
Stability of image restoration by	minimizing	regularized objective functions
Surface completion by	minimizing	energy based on similarity of shape
Texture Segmentation by	minimizing	Vector-Valued Energy Functionals: The Coupled-Membrane Model
Total variation	minimizing	blind deconvolution with shock filter reference
Tracking Moving Contours Using Energy-	minimizing	Elastic Contour Models
Trainable blotch detection on high resolution archive films	minimizing	the human interaction
Training products of experts by	minimizing	contrastive divergence
Unique Reconstruction of Piecewise Smooth Images by	minimizing	Strictly Convex Nonquadratic Functionals
Unsupervised Detection for	minimizing	a Region of Interest around Distinct Object in Natural Images
Using Dynamic Programming for	minimizing	the Energy of Active Contours in the Presence of Hard Constraints
Vascular tree reconstruction by	minimizing	a physiological functional cost
Water reflection recognition via	minimizing	reflection cost based on motion blur invariant moments

184 for minimizing