Index for manif

_manifest_
Cross-Frequency rs-fMRI Network Connectivity Patterns manifest Differently for Schizophrenia Patients and Healthy Controls
manifest: Manifold Deformation for Few-Shot Image Translation

_manifestation_
Imaging manifestations of sepsis-associated encephalopathy
Impending Hydrological Regime of Lhasa River as Subjected to Hydraulic Interventions: A SWAT Model manifestation
manifestation of an Analytic Hierarchy Process (AHP) Model on Fire Potential Zonation Mapping in Kathmandu Metropolitan City, Nepal
manifestation of Gas Seepage from Bottom Sediments on the Sea Surface: Theoretical Model and Experimental Observations
manifestation of Internal Waves in the Structure of an Artificial Slick Band
manifestation of Spiral Structures under the Action of Upper Ocean Currents

_manifesto_
Beyond Linear Perspective: A Cubist manifesto for Visual Science

_manifold_
2-manifold reconstruction from sparse visual features
2-manifold Tests for 3D Delaunay Triangulation-Based Surface Reconstruction
2D-3D registration of deformable shapes with manifold projection
3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian manifold
3-D Morphology Prediction of Progressive Spinal Deformities From Probabilistic Modeling of Discriminant manifolds
3D face tracking and expression inference from a 2D sequence using manifold learning
3D Head Pose Estimation Using Tensor Decomposition and Non-linear manifold Modeling
3D Human Motion Tracking using manifold Learning
3D Pick & Mix: Object Part Blending in Joint Shape and Image manifolds
3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional manifold Model
3D Point Cloud Filtering Method for Leaves Based on manifold Distance and Normal Estimation, A
3D/2D Vessel Registration Based on Monte Carlo Tree Search and manifold Regularization
Accelerated Optimization in the PDE Framework: Formulations for the manifold of Diffeomorphisms
Accelerating Flexible manifold Embedding for Scalable Semi-Supervised Learning
Accurate 3D action recognition using learning on the Grassmann manifold
Action classification on product manifolds
Action Recognition in Video by Sparse Representation on Covariance manifolds of Silhouette Tunnels
Action Recognition Using Sparse Representation on Covariance manifolds of Optical Flow
Action Recognition with Spatial-Temporal Representation Analysis Across Grassmannian manifold and Euclidean Space
Active contour evolved by joint probability classification on Riemannian manifold
Active Contour Models for manifold Valued Image Segmentation
Active Contours on Statistical manifolds And Texture Segmentation
Active learning based on minimization of the expected path-length of random walks on the learned manifold structure
Adaptive Classification for Hyperspectral Image Data Using manifold Regularization Kernel Machines
Adaptive manifold for imbalanced transductive few-shot learning
Adaptive manifold Learning
Adaptive smooth surface fitting with manifolds
Adaptive total-variation for non-negative matrix factorization on manifold
Advances in matrix manifolds for computer vision
Aligning Coupled manifolds for Face Hallucination
Aligning Spatio-Temporal Signals on a Special manifold
Amplitude-Phase Information Measurement on Riemannian manifold for Motor Imagery-Based BCI
Analysis of Different Deep Learning Architectures to Learn Generalised Classifier Stacking on Riemannian and Grassmann manifolds
Analysis of human attractiveness using manifold kernel regression
Analysis of Temporal Tensor Datasets on Product Grassmann manifold
Analyzing Facial Expression by Fusing manifolds
Analyzing Human Movements from Silhouettes Using manifold Learning
Analyzing trajectories on Grassmann manifold for early emotion detection from depth videos
Anatomical Regularization on Statistical manifolds for the Classification of Patients with Alzheimer's Disease
Angle constrained path for clustering of multiple manifolds
Appearance manifold of Facial Expression
Appearance-based face recognition using a supervised manifold learning framework
ARNIQA: Learning Distortion manifold for Image Quality Assessment
Articulated hand configuration and rotation estimation using extended torus manifold embedding
Articulated tracking with manifold regularized particle filter
Assignment manifold: A Smooth Model for Image Labeling, The
attention-based framework for multi-view clustering on Grassmann manifold, An
Attributed hypergraph matching on a Riemannian manifold
Autoencoders for a manifold learning problem with a Jacobian rank constraint
Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex
Automatic 3D reconstruction of manifold meshes via delaunay triangulation and mesh sweeping
Automatic Cast Listing in Feature-Length Films with Anisotropic manifold Space
Automatic Deep Sparse Multi-Trial Vector-based Differential Evolution clustering with manifold learning and incremental technique
Automatic Dimensionality Estimation for manifold Learning through Optimal Feature Selection
Automatic Estimation of Self-Reported Pain by Trajectory Analysis in the manifold of Fixed Rank Positive Semi-Definite Matrices
Averaging on manifolds by Embedding Algorithm
Axiomatic scalar data interpolation on manifolds
Band selection of hyperspectral image by sparse manifold clustering
Bayesian Model Estimation and Selection for Epipolar Geometry and Generic manifold Fitting
Bayesian Non-parametric Inference for manifold Based MoCap Representation
Bayesian online learning on Riemannian manifolds using a dual model with applications to video object tracking
Belief propagation on Riemannian manifold for stereo matching
Beltrami flow over implicit manifolds, The
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided manifold Simplification
Beyond Gauss: Image-Set Matching on the Riemannian manifold of PDFs
BFS-Tree of ranking references for unsupervised manifold learning, A
Bi-Linear Modeling of Data manifolds for Dynamic-MRI Recovery
Biased manifold Embedding: A Framework for Person-Independent Head Pose Estimation
Binarized features with discriminant manifold filters for robust single-sample face recognition
Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds
Biologically Inspired Feature manifold for Scene Classification
Blind and robust mesh watermarking using manifold harmonics
Blind Deconvolution by a Steepest Descent Algorithm on a Quotient manifold
BoMW: Bag of manifold Words for One-Shot Learning Gesture Recognition From Kinect
Boosted human re-identification using Riemannian manifolds
Boosted manifold principal angles for image set-based recognition
Bounded manifold completion
Cage-Based Motion Recovery Using manifold Learning
Camera motion estimation via optimization-on-a-manifold
Camera Pose Filtering with Local Regression Geodesics on the Riemannian manifold of Dual Quaternions
Camera-Pose Estimation via Projective Newton Optimization on the manifold
Canonical Correlation Analysis on Riemannian manifolds and Its Applications
Characterizing Humans on Riemannian manifolds
Charting the Right manifold: Manifold Mixup for Few-shot Learning
Charting the Right manifold: Manifold Mixup for Few-shot Learning
Chordal Averaging on Flag manifolds and Its Applications
Class of manifold Regularized Multiplicative Update Algorithms for Image Clustering, A
Class-specific and self-learning local manifold structure for domain adaptation
Classification approach based on the product of riemannian manifolds from Gaussian parametrization space
Classification of gene-expression data: The manifold-based metric learning way
Classification of manifold Learning Based Flight Fingerprints of UAVs in Air Traffic
Classification of potential nuclei in prostate histology images using shape manifold learning
Classification via Sparse Representation of Steerable Wavelet Frames on Grassmann manifold: Application to Target Recognition in SAR Image
Classifier-Based Learning of Nonlinear Feature manifold for Visualization of Emotional Speech Prosody
Clustered Spatio-temporal manifolds for Online Action Recognition
Clustering and dimensionality reduction on Riemannian manifolds
Clustering of video-patches on Grassmannian manifold for facial expression recognition from 3D videos
Clustering on Grassmann manifolds via kernel embedding with application to action analysis
Clustering Symmetric Positive Definite Matrices on the Riemannian manifolds
Clustering Tree-Structured Data on manifold
Coherent Framework for Learning Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal manifold-Valued Data, A
Color Image Classification Using Locally Linear manifolds and Learning
Color perception of diffusion tensor images using hierarchical manifold learning
Color VQ-Based Image Compression by manifold Learning
Combined manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development, A
Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging Based on a Riemannian manifold Approach
Combining Multiple manifold-Valued Descriptors for Improved Object Recognition
Comparative Review of manifold Learning Techniques for Hyperspectral and Polarimetric SAR Image Fusion, A
Compositional Hierarchical Representation of Shape manifolds for Classification of Non-manifold Shapes
Compositional Hierarchical Representation of Shape manifolds for Classification of Non-manifold Shapes
Compression and Completion of Animated Point Clouds using Topological Properties of the manifold
Computing and Visualizing a Graph-Based Decomposition for Non-manifold Shapes
Computing and Visualizing Constant-Curvature Metrics on Hyperbolic 3-manifolds with Boundaries
Computing Fundamental Group of General 3-manifold
Computing Local Binary Patterns on Discrete manifolds
Conjugate gradient on Grassmann manifolds for robust subspace estimation
Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based manifolds
Consistent Correspondence between Arbitrary manifold Surfaces
Consistent Discretization and Minimization of the L1 Norm on manifolds
Content-based medical image retrieval of CT images of liver lesions using manifold learning
Content-Sensitive Supervoxels via Uniform Tessellations on Video manifolds
Continuity properties of the appearance manifold for mobile robot position estimation
Continuous Intermediate Token Learning with Implicit Motion manifold for Keyframe Based Motion Interpolation
Continuous manifold Based Adaptation for Evolving Visual Domains
Contour grouping with shape manifold and distance transform
Contravariant Adaptation on the manifold of Causal, FIR, Invertible Multivariable Matrix Systems
Contravariant Adaptation on the manifold of Invertible Matrix Transfer Functions
Convergence of the Time Discrete Metamorphosis Model on Hadamard manifolds
Convex class model on symmetric positive definite manifolds
Convex multi-region segmentation on manifolds
Convolution operations for relief-pattern retrieval, segmentation and classification on mesh manifolds
Cooperative Positioning Algorithm via manifold Gradient for Distributed Systems, A
Coupled Discriminant Multi-manifold Analysis with Application to Low-Resolution Face Recognition
Coupled discriminative manifold alignment for low-resolution face recognition
Coupled manifold Learning for Retrieval Across Modalities
Coupled Visual and Kinematic manifold Models for Tracking
Covariance descriptors on a Gaussian manifold and their application to image set classification
Cross-modal manifold Cutmix for Self-supervised Video Representation Learning
Crowd Event Detection on Optical Flow manifolds
Curse of co-Dimensionality: Explaining Adversarial Examples by Embedding Geometry of Data manifold
Curvature analysis of pattern transformation manifolds
Curvature-Adaptive Meta-Learning for Fast Adaptation to manifold Data
Curvature-aware manifold learning
Curvature-Balanced Feature manifold Learning for Long-Tailed Classification
Curve Matching from the View of manifold for Sign Language Recognition
Data Classification on Multiple manifolds
Data Fitting on manifolds with Composite Bezier-Like Curves and Blended Cubic Splines
Data-driven hair segmentation with isomorphic manifold inference
Data-Driven manifolds for Outdoor Motion Capture
Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, manifold Learning and Semi-Supervised Learning
Decoder-Free Approach for Unsupervised Clustering and manifold Learning with Random Triplet Mining, A
Decomposing non-manifold objects in arbitrary dimensions
Decomposition of Complex Line Drawings with Hidden Lines for 3D Planar-Faced manifold Object Reconstruction
Deep domain adaptation with manifold aligned label transfer
Deep Efficient Continuous manifold Learning for Time Series Modeling
Deep hybrid manifold for image set classification
Deep Learning on Sparse manifolds for Faster Object Segmentation
Deep manifold Alignment for Mid-Grain Sketch Based Image Retrieval
Deep manifold clustering based optimal pseudo pose representation (DMC-OPPR) for unsupervised person re-identification
Deep manifold Prior
Deep manifold Structure Transfer for Action Recognition
Deep manifold-to-Manifold Transforming Network
Deep manifold-to-Manifold Transforming Network
Deep manifold-to-Manifold Transforming Network for Skeleton-Based Action Recognition
Deep manifold-to-Manifold Transforming Network for Skeleton-Based Action Recognition
Deep Metric Learning on the SPD manifold for Image Set Classification
Deep Metric Learning With manifold Class Variability Analysis
Deep networks are efficient for circular manifolds
Deep Regression on manifolds: A 3D Rotation Case Study
Deep Spherical manifold Gaussian Kernel for Unsupervised Domain Adaptation
Deep Texture manifold for Ground Terrain Recognition
Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded manifolds
Deformable Shape Reconstruction from Monocular Video with manifold Forests
Deformation transfer of 3D human shapes and poses on manifolds
Delving into Discrete Normalizing Flows on SO(3) manifold for Probabilistic Rotation Modeling
Denoising manifold and Non-Manifold Point Clouds
Denoising manifold and Non-Manifold Point Clouds
Denoising-Enhancing Images on Elastic manifolds
Density Estimators of Gaussian Type on Closed Riemannian manifolds
Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on manifolds
Detection of Salient Image Points Using Principal Subspace manifold Structure
Dictionary Learning and Sparse Coding on Grassmann manifolds: An Extrinsic Solution
Dictionary Pair Learning on Grassmann manifolds for Image Denoising
Dictionary-induced least squares framework for multi-view dimensionality reduction with multi-manifold embeddings
Diffeomorphic matching of distributions: a new approach for unlabelled point-sets and sub-manifolds matching
Differentiable Piecewise-Bezier Surfaces on Riemannian manifolds
Differential Camera Tracking through Linearizing the Local Appearance manifold
Diffusion of General Data on Non-Flat manifolds via Harmonic Maps Theory: The Direction Diffusion Case
Diffusion on Statistical manifolds
Digital Khalimsky manifolds
Dilated Convolutional Neural Networks for Sequential manifold-Valued Data
DIMAL: Deep Isometric manifold Learning Using Sparse Geodesic Sampling
Dimensionality of Illumination manifolds in Appearance Matching
Dimensionality Reduction and Clustering on Statistical manifolds
Dimensionality reduction and principal surfaces via Kernel Map manifolds
Dimensionality Reduction of Hyperspectral Image Based on Local Constrained manifold Structure Collaborative Preserving Embedding
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-Spectral manifold Learning
Dimensionality Reduction of Hyperspectral Images Based on Sparse Discriminant manifold Embedding
Dimensionality Reduction on SPD manifolds: The Emergence of Geometry-Aware Methods
Direct Energy Minimization for Super-Resolution on Nonlinear manifolds
DiscoNet: Shapes Learning on Disconnected manifolds for 3D Editing
Discontinuity Preserving Filtering over Analytic manifolds
Discrete Curvature Flows for Surfaces and 3-manifolds
Discrete curve model for non-elastic shape analysis on shape manifold
Discrete Framework to Find the Optimal Matching Between manifold-Valued Curves, A
Discrete Morse versus Watershed Decompositions of Tessellated manifolds
Discrete Point-Wise Attack is Not Enough: Generalized manifold Adversarial Attack for Face Recognition
Discretization of Parametrizable Signal manifolds
Discriminant Analysis on Embedded manifold
Discriminant Analysis on Riemannian manifold of Gaussian Distributions for Face Recognition With Image Sets
Discriminant Feature manifold for Facial Aging Estimation
Discriminant manifold Learning via Sparse Coding for Image Analysis
Discriminant subclass-center manifold preserving projection for face feature extraction
Discriminative Feature Selection by Optimal manifold Search for Neoplastic Image Recognition
Discriminative human action recognition in the learned hierarchical manifold space
Discriminative regularization of the latent manifold of variational auto-encoders
Discriminative Regularized Input manifold for multilayer perceptron
Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation
discriminative SPD feature learning approach on Riemannian manifolds for EEG classification, A
Discriminative subspace learning via optimization on Riemannian manifold
Distance Approximating Dimension Reduction of Riemannian manifolds
Distance based kernels for video tensors on product of Riemannian matrix manifolds
Distance Metric Learning by Optimization on the Stiefel manifold
Diverse videos synthesis using manifold-based parametric motion model for facial understanding
DLME: Deep Local-Flatness manifold Embedding
Domain Adaptation by Class Centroid Matching and Local manifold Self-Learning
Domain Adaptation on the Statistical manifold
Double manifolds Regularized Non-negative Matrix Factorization for Data Representation
Double Nuclear Norm Based Low Rank Representation on Grassmann manifolds for Clustering
DreamNet: A Deep Riemannian manifold Network for SPD Matrix Learning
Dual subspace manifold learning based on GCN for intensity-invariant facial expression recognition
Dual Transformation and manifold Distances Voting for Outlier Rejection in Point Cloud Registration
Dynamic Facial Expression Recognition Using A Bayesian Temporal manifold Model
Dynamic Hand Shape manifold Embedding and Tracking from Depth Maps
Dynamic manifold Boltzmann optimization based on self-supervised learning for human motion estimation
Dynamic manifold Warping for view invariant action recognition
Dynamic MRI Using SmooThness Regularization on manifolds (SToRM)
Dynamic Point Cloud Denoising via manifold-to-Manifold Distance
Dynamic Point Cloud Denoising via manifold-to-Manifold Distance
Dynamic Textures Synthesis as Nonlinear manifold Learning and Traversing
dynamical neighborhood selection based on the sampling density and manifold curvature for isometric data embedding, The
Effects of curvature on the analysis of landmark shape manifolds
Effects of Ground manifold Modeling on the Accuracy of Stixel Calculations
Efficiency investigation of manifold matching for text document classification
Efficient Block Noise Removal Based on Nonlinear manifolds
Efficient clustering on Riemannian manifolds: A kernelised random projection approach
Efficient deformable shape correspondence via multiscale spectral manifold wavelets preservation
Efficient Diffusion on Region manifolds: Recovering Small Objects with Compact CNN Representations
Efficient Exact-PGA Algorithm for Constant Curvature manifolds, An
Efficient Higher-Order Clustering on the Grassmann manifold
Efficient manifold Algorithm for Constructive Interference Based Constant Envelope Precoding, An
Efficient Moving Point Handling for Incremental 3D manifold Reconstruction
Efficient Simplicial Reconstructions of manifolds from Their Samples
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian manifold
Efficient tracking of human poses using a manifold hierarchy
Efficient, Sparse Representation of manifold Distance Matrices for Classical Scaling
Efficiently Refining Beampattern in FDA-MIMO Radar via Alternating manifold Optimization for Maximizing Signal-to-Interference-Noise Ratio
Elastic Morphing of 2D and 3D Objects on a Shape manifold
Embedding new observations via sparse-coding for non-linear manifold learning
Embedding Propagation: Smoother manifold for Few-shot Classification
Emotion Recognition by Body Movement Representation on the manifold of Symmetric Positive Definite Matrices
Emotional Speech Analysis on Nonlinear manifold
Endoscopic Video manifolds for Targeted Optical Biopsy
Enhanced 'Optimization-on-a-manifold' Framework for Global Registration of 3D Range Data, An
Enhanced manifold regularization for semi-supervised classification
Enhanced Matrix CFAR Detection With Dimensionality Reduction of Riemannian manifold
Enhancing Human Face Detection by Resampling Examples Through manifolds
Enhancing Images Painted on manifolds
Enhancing Low-Rank Subspace Clustering by manifold Regularization
Ensemble Deep manifold Similarity Learning Using Hard Proxies
Ensemble Learning With manifold-Based Data Splitting for Noisy Label Correction
Ensemble manifold regularization
Ensemble manifold Regularization
Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding
Ensemble manifold Structured Low Rank Approximation for Data Representation
Essential Matrix Estimation Using Gauss-Newton Iterations on a manifold
Estimating 3D Face Model and Facial Deformation from a Single Image Based on Expression manifold Optimization
Estimating Cluster Overlap on manifolds and its Application to Neuropsychiatric Disorders
Estimating the mean manifold of a deformable object from noisy observations
Estimation of Random Trajectories on manifolds: Application to Object Tracking
Example-Based Human Motion Extrapolation and Motion Repairing Using Contour manifold
Example-Driven manifold Priors for Image Deconvolution
Exemplar-Based EM-like image denoising via manifold reconstruction
Experimental Analysis of Appearance Maps as Descriptor manifolds Approximations
Explicit discriminative representation for improved classification of manifold features
Exploiting Clustering manifold Structure for Hyperspectral Imagery Super-Resolution
Exploiting Embedding manifold of Autoencoders for Hyperspectral Anomaly Detection
Exploiting manifold Geometry in Hyperspectral Imagery
Exploring Adversarial Fake Images on Face manifold
Exploring multivariate generalized gamma manifold for color texture retrieval
Exploring the Identity manifold: Constrained Operations in Face Space
Exploring the Latent manifold of City Patterns
Exploring the Shape manifold: the Role of Conservation Laws
Extended Isomap for manifold Topology Learning with SOINN Landmarks, An
Extrapolating Learned manifolds for Human Activity Recognition
Extrinsic Methods for Coding and Dictionary Learning on Grassmann manifolds
Face Detection Based on the manifold
Face Feature Extraction and Recognition Based on Discriminant Subclass-Center manifold Preserving Projection
Face Hallucination Using manifold-Regularized Group Locality-Constrained Representation
Face recognition based on discriminative manifold learning
Face Recognition by SVMs Classification And manifold Learning of 2D and 3D Radial Geodesic Distances
Face Recognition from Face Motion manifolds using Robust Kernel Resistor-Average Distance
Face Recognition from Video Using the Generic Shape-Illumination manifold
Face Recognition Using a Multi-manifold Discriminant Analysis Method
Face Recognition Using Multilinear manifold Analysis of Local Descriptors
Face recognition using patch manifold learning across plastic surgery from a single training exemplar per enrolled person
Face Recognition Using Principal Geodesic Analysis and manifold Learning
Face Recognition Using Sparse Representations and manifold Learning
Face Recognition via AAM and Multi-features Fusion on Riemannian manifolds
Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance manifolds
Face Recognition with Image Sets Using manifold Density Divergence
Face video retrieval with image query via hashing across Euclidean space and Riemannian manifold
Facial expression analysis and expression-invariant face recognition by manifold-based synthesis
Facial expression recognition on multiple manifolds
Facial Expression Recognition Using Facial Features and manifold Learning
Facial expression recognition using intra-class variation reduced features and manifold regularisation dictionary pair learning
Factorization of view-object manifolds for joint object recognition and pose estimation
fast algorithm to compute cohomology group generators of orientable 2-manifolds, A
Fast Approximate Nearest Neighbor Methods for Non-Euclidean manifolds with Applications to Human Activity Analysis in Videos
Fast image super-resolution via selective manifold learning of high-resolution patches
Fast Locality Discriminant Analysis With Adaptive manifold Embedding
Fast manifold Learning Based on Riemannian Normal Coordinates
Fast manifold Ranking With Local Bipartite Graph
Fast multiscale clustering and manifold identification
Fast Polynomial Approximation of Heat Kernel Convolution on manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis
Fast Sweeping Method for Computing Geodesics on Triangular manifolds, A
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian manifolds
FastSME: Faster and Smoother manifold Extraction from 3D Stack
Feature detection and tracking in optical flow on non-flat manifolds
Feature matching based on unsupervised manifold alignment
Feature Selection via Incorporating Stiefel manifold in Relaxed K-Means
Feature-Aware Uniform Tessellations on Video manifold for Content-Sensitive Supervoxels
Few-shot Image Recognition with manifolds
Fiber Tract Clustering on manifolds With Dual Rooted-Graphs
Finding Minimal Parameterizations of Cylindrical Image manifolds
Finding representative landmarks of data on manifolds
Fish-Scales: Representing Fuzzy manifolds
Fitting Curves on Riemannian manifolds Using Energy Minimization
Fitting Smooth manifolds to Point Clouds in a Level Set Formulation
Fitting smoothing splines to time-indexed, noisy points on nonlinear manifolds
Flag manifold as a Tool for Analyzing and Comparing Sets of Data Sets, The
Flexible manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
Flexible manifold Learning With Optimal Graph for Image and Video Representation
Foreground Segmentation via Background Modeling on Riemannian manifolds
Framework for dynamic hand gesture recognition using Grassmann manifold for intelligent vehicles
From Difference to Similarity: A manifold Ranking-Based Hyperspectral Anomaly Detection Framework
From Distortion manifold to Perceptual Quality: a Data Efficient Blind Image Quality Assessment Approach
From manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices
From manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices
From RGB to Spectrum for Natural Scenes via manifold-Based Mapping
Fully Convolutional Networks and a manifold Graph Embedding-Based Algorithm for PolSAR Image Classification
Fusion of Local manifold Learning Methods
Gait Analysis For Human Identification Through manifold Learning and HMM
Gait based recognition via fusing information from Euclidean and Riemannian manifolds
Gaussman-Caylay Algebra for Modeling Systems of Cameras and the Algebraic Equations of the manifold of Trifocal Tensors
Gender from Body: A Biologically-Inspired Approach with manifold Learning
general non-parametric active learning framework for classification on multiple manifolds, A
Generalized Clustering and Multi-manifold Learning with Geometric Structure Preservation
Generalized Linear Frequency Diverse Array manifold Curve Analysis
Generalized Loss-Sensitive Adversarial Learning with manifold Margins
Generalized Lyapunov Feature for Dynamical Systems on Riemannian manifolds, A
Generalized manifold-Ranking-Based Image Retrieval
Generating manifold Samples from a Handwritten Word
Generating manifold-Aligned Semantic Feature for Zero-Shot Learning
Generative Visual Manipulation on the Natural Image manifold
generic unfolding algorithm for manifolds estimated by local linear approximations, A
Genus refinement of a manifold surface reconstructed by sculpting the 3d-Delaunay triangulation of Structure-from-Motion points
Geodesic Convolutional Neural Networks on Riemannian manifolds
Geodesic Discriminant Analysis for manifold-Valued Data
Geodesic registration for interactive atlas-based segmentation using learned multi-scale anatomical manifolds
Geodesic Regression and the Theory of Least Squares on Riemannian manifolds
Geodesics on the manifold of Multivariate Generalized Gaussian Distributions with an Application to Multicomponent Texture Discrimination
Geometric ConvNet on 3D Shape manifold for Gait Recognition, A
Geometric Deep Learning on Graphs and manifolds Using Mixture Model CNNs
Geometric Sampling of manifolds for Image Representation and Processing
Geometric-manifold-Assisted Distributed Navigation Probabilistic Information Fusion Cooperative Positioning Algorithm
Geometrically local embedding in manifolds for dimension reduction
Geometry and Radiometry Invariant Matched manifold Detection
Geometry and statistics-preserving manifold embedding for nonlinear dimensionality reduction
Geometry and Statistics: manifolds and Stratified Spaces
Geometry-Aware Hierarchical Bayesian Learning on manifolds
Geometry-Aware Similarity Learning on SPD manifolds for Visual Recognition
Geometry-Based Symbolic Approximation for Fast Sequence Matching on manifolds
Gesture Recognition Based on manifold Learning
GiganticNVS: Gigapixel Large-Scale Neural Rendering With Implicit Meta-Deformed manifold
Glass object segmentation by label transfer on joint depth and appearance manifolds
Glaucoma Monitoring Using manifold Learning and Unsupervised Clustering
Global manifold Learning for Interactive Image Segmentation
Global registration of large collections of range images with an improved Optimization-on-a-manifold approach
Global Spatial and Local Spectral Similarity-Based manifold Learning Group Sparse Representation for Hyperspectral Imagery Classification
Global Volumetric Image Registration Using Local Linear Property of Image manifold
GMRLNet: A Graph-Based manifold Regularization Learning Framework for Placental Insufficiency Diagnosis on Incomplete Multimodal Ultrasound Data
Gradient Descent Ascent for Minimax Problems on Riemannian manifolds
gradient optimization and manifold preserving based binary neural network for point cloud, A
Gradient Vector Flow over manifold for Active Contours
GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance manifolds
GRAM: Generative Radiance manifolds for 3D-Aware Image Generation
Graph Convolutional Networks and manifold Ranking for Multimodal Video Retrieval
Graph Convolutional Networks based on manifold learning for semi-supervised image classification
Graph discriminant analysis on multi-manifold (GDAMM): A novel super-resolution method for face recognition
Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching
Graph Embedding Multi-Kernel Metric Learning for Image Set Classification With Grassmannian manifold-Valued Features
Graph Framework for manifold-Valued Data, A
Graph manifolds from spectral polynomials
Graph matching through entropic manifold alignment
Graph Matching Using manifold Embedding
Graph Similarity through Entropic manifold Alignment
Graph-based transformation manifolds for invariant pattern recognition with kernel methods
Grassmann manifold based framework for automated fall detection from a camera
Grassmann manifold for nearest points image set classification
Grassmann manifold online learning and partial occlusion handling for visual object tracking under Bayesian formulation
Grassmann manifold Optimization for Fast L_1-Norm Principal Component Analysis
Grassmann manifold-based domain adaptation approach, A
Grassmann Registration manifolds for Face Recognition
Grassmannian Dimensionality Reduction for Optimized Universal manifold Embedding Representation of 3D Point Clouds
Grassmannian manifold Optimization Assisted Sparse Spectral Clustering
Group Sparse Non-negative Matrix Factorization for Multi-manifold Learning
Group-constrained manifold learning: Application to AD risk assessment
Group-Wise Hub Identification by Learning Common Graph Embeddings on Grassmannian manifold
Groupwise morphometric analysis based on morphological appearance manifold
Groupwise Registration via Graph Shrinkage on the Image manifold
Guest Editorial: Learning with manifolds in Computer Vision
Haplotype Assembly Using manifold Optimization and Error Correction Mechanism
Hashing Cross-Modal manifold for Scalable Sketch-Based 3D Model Retrieval
Hashing on Nonlinear manifolds
Hashing with Non-Linear manifold Learning
Head Pose Estimation Based on manifold Embedding and Distance Metric Learning
Head pose estimation by nonlinear manifold learning
Head pose estimation in the wild using approximate view manifolds
Head pose estimation using Fisher manifold learning
Heat diffusion over weighted manifolds: A new descriptor for textured 3D non-rigid shapes
Hetero-manifold Regularisation for Cross-Modal Hashing
Heterogeneous Clutter Suppression for Airborne Radar STAP Based on Matrix manifolds
Heterogeneous Tensor Decomposition for Clustering via manifold Optimization
Heteroscedastic probabilistic linear discriminant analysis for manifold learning in video-based face recognition
Hierarchical GTM: Constructing Localized Nonlinear Projection manifolds in a Principled Way
Hierarchical Isometric Self-Organizing Map for manifold Representation, The
Hierarchical manifold Learning for Regional Image Analysis
Hierarchical manifold Learning With Applications to Supervised Classification for High-Resolution Remotely Sensed Images
Hierarchical Structuring of Data on manifolds
Hierarchical Volumetric Multi-view Stereo Reconstruction of manifold Surfaces based on Dual Graph Embedding
High Dimensional Correspondences from Low Dimensional manifolds: An Empirical Comparison of Graph-Based Dimensionality Reduction Algorithms
High dynamic range image processing using manifold-based ordering
High-dimensional MRI data analysis using a large-scale manifold learning approach
High-order manifold regularized multi-view subspace clustering with robust affinity matrices and weighted TNN
High-Resolution PolSAR Scene Classification With Pretrained Deep Convnets and manifold Polarimetric Parameters
High-Resolution SAR Image Classification Using Multi-Scale Deep Feature Fusion and Covariance Pooling manifold Network
High-Resolution Self-Gated Dynamic Abdominal MRI Using manifold Alignment
Homeomorphic manifold Analysis (HMA): Generalized separation of style and content on manifolds
Homeomorphic manifold Analysis (HMA): Generalized separation of style and content on manifolds
Homeomorphic manifold Analysis: Learning Decomposable Generative Models for Human Motion Analysis
Horizontal Flows and manifold Stochastics in Geometric Deep Learning
HULC: 3D HUman Motion Capture with Pose manifold SampLing and Dense Contact Guidance
Human action recognition using discriminative models in the learned hierarchical manifold space
Human Activity as a manifold-Valued Random Process
Human Activity Modeling as Brownian Motion on Shape manifold
Human Activity Modeling On Shape manifold
Human Age Estimation With Regression on Discriminative Aging manifold
Human Body Shape Estimation Using a Multi-resolution manifold Forest
Human Detection via Classification on Riemannian manifolds
Human fall detection in videos via boosting and fusing statistical features of appearance, shape and motion dynamics on Riemannian manifolds with applications to assisted living
Human fall detection via shape analysis on Riemannian manifolds with applications to elderly care
Human Motion Generation by Stochastic Conditioning of Deep Recurrent Networks On Pose manifolds
Human Motion Prediction Using manifold-Aware Wasserstein GAN
Human Object Inpainting Using manifold Learning-Based Posture Sequence Estimation
Human pose estimation from corrupted silhouettes using a sub-manifold voting strategy in latent variable space
Human Pose Estimation from Polluted Silhouettes Using Sub-manifold Voting Strategy
Human pose tracking by Hierarchical manifold Searching
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) manifolds for Human Pose and Shape Distribution Estimation
Hybrid Diffusion: Spectral-Temporal Graph Filtering for manifold Ranking
Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection
Hyperspectral Compressive Sensing Using manifold-Structured Sparsity Prior
Hyperspectral Image Classification Based on Spectral-Spatial One-Dimensional manifold Embedding
Hyperspectral image classification using distance metric based 1-dimensional manifold embedding
Hyperspectral target detection using manifold learning and multiple target spectra
Identifying Faces in a 2D Line Drawing Representing a manifold Object
Identity and expression recognition on low dimensional manifolds
Image atlas construction via intrinsic averaging on the manifold of images
Image distance functions for manifold learning
Image Enhancement Using Elastic manifolds
Image Hallucination Using Neighbor Embedding over Visual Primitive manifolds
Image manifold Interpolation using Free-Form Deformations
Image manifolds which are Isometric to Euclidean Space
Image Stitching With manifold Optimization
Image Super-Resolution Via Double Sparsity Regularized manifold Learning
Image Super-Resolution via Local Self-Learning manifold Approximation
Image Synthesis Based on manifold Learning
Image-Based Human Age Estimation by manifold Learning and Locally Adjusted Robust Regression
image-space algorithm for immersive views in 3-manifolds and orbifolds, An
Imperfect form Tolerancing on manifold Objects: A Metric Approach
improved local tangent space alignment method for manifold learning, An
Improved sparse coding using manifold projections
Improved Super-Resolution with manifold Learning and Histogram Matching, An
Improving head and body pose estimation through semi-supervised manifold alignment
Improving Optimum-Path Forest Classification Using Unsupervised manifold Learning
Improving superpixel-based image segmentation by incorporating color covariance matrix manifolds
Increasing reliability of protein interactome by fast manifold embedding
Incremental manifold learning by spectral embedding methods
Incremental Multi-view Face Tracking Based on General View manifold
Incremental Nonlinear Dimensionality Reduction by manifold Learning
Incremental Reconstruction of manifold Surface from Sparse Visual Mapping
Indian Classical Dance Classification on manifold Using Jensen-Bregman LogDet Divergence
Inductive Hashing on manifolds
Inductive manifold learning using structured support vector machine
Inequivalent manifold ranking for content-based image retrieval
Inexact MDL for linear manifold clusters
Inexact Semismooth Newton Method on Riemannian manifolds with Application to Duality-Based Total Variation Denoising, An
Inferring 3D body pose from silhouettes using activity manifold learning
Inferring Underlying manifold of Data by the Use of Persistent Homology Analysis
Infimal Convolution Coupling of First and Second Order Differences on manifold-Valued Images
Information Geometry and Its Applications: Convex Function and Dually Flat manifold
information-theoretic approach to face recognition from face motion manifolds, An
Instance-Dependent Label-Noise Learning with manifold-Regularized Transition Matrix Estimation
Interactive Prostate Segmentation Based on Adaptive Feature Selection and manifold Regularization
Interface between Grassmann manifolds and vector spaces, An
Interpolation of Head-Related Transfer Functions Using manifold Learning
Interpolation on the manifold of K Component GMMs
Interpolation-based nonrigid deformation estimation under manifold regularization constraint
Intrinsic dimension estimation of manifolds by incising balls
Intrinsic dimensionality estimation based on manifold assumption
Intrinsic Isometric manifold Learning with Application to Localization
Intrinsic manifold SLIC: A Simple and Efficient Method for Computing Content-Sensitive Superpixels
Intrinsic MANOVA for Riemannian manifolds with an Application to Kendall's Space of Planar Shapes
Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds
Intrinsic Neural Fields: Learning Functions on manifolds
Intrinsic Polynomials for Regression on Riemannian manifolds
Intrinsic Statistics on Riemannian manifolds: Basic Tools for Geometric Measurements
Invariant Feature Set Generation with the Linear manifold Self-organizing Map
invariant metric on the manifold of second order moments, An
Inverse Mapping with manifold Alignment for Zero-shot Learning, An
invertible dimension reduction of curves on a manifold, A
Isomorphic manifold Inference for hair segmentation
Iterative Hyperplane Merging: A Framework for manifold Learning
Iterative manifold Embedding Layer Learned by Incomplete Data for Large-Scale Image Retrieval
Jensen Bregman LogDet Divergence Optimal Filtering in the manifold of Positive Definite Matrices
Joint adaptive manifold and embedding learning for unsupervised feature selection
Joint and Progressive Subspace Analysis (JPSA) With Spatial-Spectral manifold Alignment for Semisupervised Hyperspectral Dimensionality Reduction
Joint Characterization of Sentinel-2 Reflectance: Insights from manifold Learning
Joint gait-pose manifold for video-based human motion estimation
Joint manifold Diffusion for Combining Predictions on Decoupled Observations
Joint manifold distance: a new approach to appearance based clustering
Joint manifold Model for Semi-supervised Multi-valued Regression, The
Joint manifolds for Data Fusion
Joint multi-feature spatial context for scene recognition in the semantic manifold
Joint optimization of manifold learning and sparse representations
Joint target tracking and recognition using view and identity manifolds
Joint view-identity manifold for infrared target tracking and recognition
Joint view-identity manifold for target tracking and recognition
Jointly Informative and manifold Structure Representative Sampling Based Active Learning for Remote Sensing Image Classification
Jumping manifolds: Geometry Aware Dense Non-Rigid Structure From Motion
K-tangent spaces on Riemannian manifolds for improved pedestrian detection
Kent mixture model for classification of remote sensing data on spherical manifolds
Kernel analysis on Grassmann manifolds for action recognition
Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures
Kernel collaboration representation-based manifold regularized model for unconstrained face recognition
Kernel Density Estimation on Riemannian manifolds: Asymptotic Results
Kernel Learning for Extrinsic Classification of manifold Features
Kernel Methods on Riemannian manifolds with Gaussian RBF Kernels
Kernel Methods on the Riemannian manifold of Symmetric Positive Definite Matrices
Kernel Sparse Subspace Clustering on Symmetric Positive Definite manifolds
Kernel-Based Low-Rank (KLR) Model for Low-Dimensional manifold Recovery in Highly Accelerated Dynamic MRI, A
Kernelized manifold Mapping to Diminish the Effect of Adversarial Perturbations, A
Keynote lecture 2: Riemannian manifolds, kernels and learning
Keypoints and Local Descriptors of Scalar Functions on 2D manifolds
Knowledge Distillation of Grassmann manifold Network for Remote Sensing Scene Classification
L1-2DPCA Revisit via Optimization on Product manifolds
L1-Grassmann manifolds for robust face recognition
label distribution manifold learning algorithm, A
Label enhancement via manifold approximation and projection with graph convolutional network
Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition
Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition
Laplacian LRR on Product Grassmann manifolds for Human Activity Clustering in Multicamera Video Surveillance
Large-scale manifold learning
Large-Scale manifold Learning Approach for Brain Tumor Progression Prediction, A
LDMNet: Low Dimensional manifold Regularized Neural Networks
Learn to Threshold: ThresholdNet With Confidence-Guided manifold Mixup for Polyp Segmentation
Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification
Learned Tensor Low-CP-Rank and Bloch Response manifold Priors for Non-Cartesian MRF Reconstruction
Learning 3D shape from a single facial image via non-linear manifold embedding and alignment
Learning a geometry integrated image appearance manifold from a small training set
Learning a Joint manifold Representation from Multiple Data Sets
Learning a manifold as an Atlas
Learning a manifold-constrained map between image sets: Applications to matching and pose estimation
Learning a perceptual manifold for image set classification
Learning a robust representation via a deep network on symmetric positive definite manifolds
Learning a weighted semantic manifold for content-based image retrieval
Learning Adaptive Neighborhood Graph on Grassmann manifolds for Video/Image-Set Subspace Clustering
Learning and Matching of Dynamic Shape manifolds for Human Action Recognition
Learning appearance and transparency manifolds of occluded objects in layers
Learning Appearance manifolds from Video
Learning associate appearance manifolds for cross-pose face recognition
Learning Brain Dynamics of Evolving manifold Functional MRI Data Using Geometric-Attention Neural Network
Learning Bundle manifold by Double Neighborhood Graphs
Learning Common Harmonic Waves on Stiefel manifold: A New Mathematical Approach for Brain Network Analyses
Learning deformable shape manifolds
Learning Detailed Radiance manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis from Monocular Image
Learning dictionary on manifolds for image classification
Learning Distributions of Shape Trajectories from Longitudinal Datasets: A Hierarchical Model on a manifold of Diffeomorphisms
Learning Dual Multi-Scale manifold Ranking for Semantic Segmentation of High-Resolution Images
Learning explicit and implicit visual manifolds by information projection
Learning Expressionlets on Spatio-temporal manifold for Dynamic Facial Expression Recognition
Learning Expressionlets via Universal manifold Model for Dynamic Facial Expression Recognition
Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold
Learning image manifold using neighboring similarity integration
Learning low bending and low distortion manifold embeddings
Learning manifold Structures With Subspace Segmentations
Learning Match Kernels on Grassmann manifolds for Action Recognition
Learning multi-modal densities on Discriminative Temporal Interaction manifold for group activity recognition
Learning Neighborhood Discriminative manifolds for Video-Based Face Recognition
Learning Nonlinear Image manifolds by Global Alignment of Local Linear Models
Learning Nonlinear manifolds from Time Series
Learning Nonlinear manifolds of Dynamic Textures
Learning One-to-Many Mapping With Locally Linear Maps Based on manifold Structure
Learning over Sets using Boosted manifold Principal Angles (BoMPA)
Learning parameterized histogram kernels on the simplex manifold for image and action classification
Learning pattern transformation manifolds for classification
Learning Photometric Stereo via manifold-based Mapping
Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition
Learning Representation on Optimized High-Order manifold for Visual Classification
Learning representations from multiple manifolds
Learning Shape Trends: Parameter Estimation in Diffusions on Shape manifolds
Learning Smooth Pattern Transformation manifolds
Learning Speed Invariant Gait Template via Thin Plate Spline Kernel manifold Fitting
Learning the Geometric Structure of manifolds with Singularities Using the Tensor Voting Graph
Learning the shape manifold to improve object recognition
Learning the viewpoint manifold for action recognition
Learning to Optimize on Riemannian manifolds
Learning to Optimize on SPD manifolds
Learning to Track: Conceptual manifold Map for Closed-Form Tracking
Learning Video manifold for Segmenting Crowd Events and Abnormality Detection
Learning Visually Aligned Semantic Graph for Cross-Modal manifold Matching
Learning with Cascade for Classification of Non-Convex manifolds
Learning-Aided Inertial Odometry With Nonlinear State Estimator on manifold
least squares regression framework on manifolds and its application to gesture recognition, A
Lie Bodies: A manifold Representation of 3D Human Shape
Lightweight Deep Symmetric Positive Definite manifold Network for Real-Time 3D Hand Gesture Recognition
LIMOFilling: Local Information Guide Hole-Filling and Sharp Feature Recovery for manifold Meshes
Linear manifold clustering in high dimensional spaces by stochastic search
Linear manifold Color Descriptor for Medicine Package Recognition, A
Linear Multiscale Analysis of Similarities between Images on Riemannian manifolds: Practical Formula and Affine Covariant Metrics
Lip contour tracking using multiple dynamic models on a manifold
LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear manifold Embedding and Its Application to Image Recognition
Local Constraint-Based Sparse manifold Hypergraph Learning for Dimensionality Reduction of Hyperspectral Image
Local high-order regularization on data manifolds
Local manifold distance based on neighborhood graph reordering
Local manifold Learning-Based k-Nearest-Neighbor for Hyperspectral Image Classification
Local manifold Matching for Face Recognition
Local manifold-Based Sparse Discriminant Learning for Feature Extraction of Hyperspectral Image
Local Metric Learning on manifolds with Application to Query-Based Operations
Local smoothing for manifold learning
Local tangent space based manifold entropy for image retrieval
Local-manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification
Localization and Recognition of Dynamic Hand Gestures Based on Hierarchy of manifold Classifiers
Localized LRR on Grassmann manifold: An Extrinsic View
Locally lateral manifolds of normalised Gabor features for face recognition
Locally Linear Hashing for Extracting Non-linear manifolds
Locally Linear Image Structural Embedding for Image Structure manifold Learning
Locally Linear Models on Face Appearance manifolds with Application to Dual-Subspace Based Classification
Loop Closure Detection With Bidirectional manifold Representation Consensus
Low Dimensional manifold Model for Image Processing
Low Rank Representation on Grassmann manifolds
Low Rank Representation on Product Grassmann manifolds for Multi-view Subspace Clustering
Low-dimensional manifold model for demosaicking from a RGBW color filter array
Low-Rank Matrix Approximation with manifold Regularization
M-CBN: manifold constrained joint image dehazing and super-resolution based on chord boosting network
M-Estimator for Robust Centroid Estimation on the manifold of Covariance Matrices, An
MADMM: A Generic Algorithm for Non-smooth Optimization on manifolds
MAGIC: manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction
Man-Recon: manifold Learning for Reconstruction With Deep Autoencoder for Smart Seismic Interpretation
ManiFest: manifold Deformation for Few-Shot Image Translation
manifold Adaptive Label Propagation for Face Clustering
manifold Adversarial Learning for Cross-Domain 3D Shape Representation
manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease
manifold Alignment Approach for Hyperspectral Image Visualization With Natural Color, A
manifold alignment based color transfer for multiview image stitching
manifold Alignment for Person Independent Appearance-Based Gaze Estimation
manifold Alignment for Semantically Aligned Style Transfer
manifold alignment using curvature information
manifold Alignment via Corresponding Projections
manifold Based Analysis of Facial Expression
manifold Based Dynamic Texture Synthesis from Extremely Few Samples
manifold Based Face Synthesis from Sparse Samples
manifold based methodology for color constancy, A
manifold based sparse representation for facial understanding in natural images
manifold based Sparse Representation for robust expression recognition without neutral subtraction
manifold blurring mean shift algorithms for manifold denoising
manifold blurring mean shift algorithms for manifold denoising
manifold caricatures: on the psychological consistency of computer face recognition
manifold Clustering
manifold Constrained Low-Rank Decomposition
manifold constraint transfer for visual structure-driven optimization
manifold convex hull (MACH): Satisfying a need for SPD
manifold denoising with Gaussian Process Latent Variable Models
manifold Discriminant Analysis
manifold Embedding and Semantic Segmentation for Intraoperative Guidance With Hyperspectral Brain Imaging
manifold Enhanced 2-D Fuzzy Subspace Clustering for Image Data
manifold Estimation in View-Based Feature Space for Face Synthesis across Poses
manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++
manifold guided composite of Markov random fields for image modeling
manifold Guided Label Transfer for Deep Domain Adaptation
manifold Hypothesis for Gradient-Based Explanations, The
manifold Interpolation for an Efficient Hand Shape Recognition in the Irish Sign Language
manifold Kernel Metric Learning for Larger-Scale Image Annotation
manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications
manifold Learning and the Quantum Jensen-Shannon Divergence Kernel
manifold Learning based Video Prediction approach for Deep Motion Transfer, A
manifold Learning Benefits GANs
manifold learning by preserving distance orders
manifold Learning Co-Location Decision Tree for Remotely Sensed Imagery Classification
manifold learning for 4D CT reconstruction of the lung
manifold Learning for Density Segmentation in High Risk Mammograms
manifold Learning for Gender Classification from Face Sequences
manifold Learning for Multi-modal Image Registration
manifold Learning for Object Tracking with Multiple Motion Dynamics
manifold Learning for Object Tracking With Multiple Nonlinear Models
manifold learning for simultaneous pose and facial expression recognition
manifold Learning for Tof-based Human Body Tracking and Activity Recognition
manifold learning for user profiling and identity verification using motion sensors
manifold Learning in Quotient Spaces
manifold Learning of Overcomplete Feature Spaces in a Multimodal Biometric Recognition System of Iris and Palmprint
manifold Learning Techniques in Image Analysis of High-dimensional Diffusion Tensor Magnetic Resonance Images
manifold learning using robust Graph Laplacian for interactive image search
manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling
manifold learning with structured subspace for multi-label feature selection
manifold Learning, From Euclid to Riemann
manifold Learning-based Frequency Estimation for extracting ENF signal from digital video
manifold learning-based phoneme recognition
manifold matching using shortest-path distance and joint neighborhood selection
manifold Matching via Deep Metric Learning for Generative Modeling
manifold Matching with Application to Instance Search Based on Video Queries
manifold Modeling and Its Application to Tubular Scene Manifold Mosaicing Algorithm
manifold Modeling and Its Application to Tubular Scene Manifold Mosaicing Algorithm
manifold Modeling with Learned Distance in Random Projection Space for Face Recognition
manifold models for signals and images
manifold Neural Network With Non-Gradient Optimization
manifold of facial expression
manifold optimisation for motion factorisation
manifold Optimization for Joint Design of MIMO-STAP Radars
manifold Projection for Adversarial Defense on Face Recognition
manifold pursuit: a new approach to appearance based recognition
manifold Regression Framework for Characterizing Source Zone Architecture
manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent
manifold Regularized Dynamic Network Pruning
manifold Regularized Experimental Design for Active Learning
manifold Regularized Gaussian Mixture Model for Semi-supervised Clustering
manifold Regularized Joint Transfer for Open Set Domain Adaptation
manifold Regularized Local Sparse Representation for Face Recognition
manifold regularized matrix completion for multilabel classification
manifold Regularized Multi-view Subspace Clustering for image representation
manifold Regularized Multitask Learning for Semi-Supervised Multilabel Image Classification
manifold regularized semi-supervised Gaussian mixture model
manifold Regularized Sparse NMF for Hyperspectral Unmixing
manifold Regularized Transfer Distance Metric Learning
manifold Sensitivity Analysis of Frequency Diverse Array
manifold Shape: from Differential Geometry to Mathematical Morphology
manifold Siamese Network: A Novel Visual Tracking ConvNet for Autonomous Vehicles
manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels
manifold Statistics for Essential Matrices
manifold surface reconstruction of an environment from sparse Structure-from-Motion data
manifold T-Spline
manifold topological multi-resolution analysis method
manifold Transfer Learning via Discriminant Regression Analysis
manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations
manifold ways of perception, The
manifold-based constraint Laplacian score for multi-label feature selection
manifold-based constraints for operations in face space
manifold-based fingerprinting for target identification
manifold-Based Multi-Deep Belief Network for Feature Extraction of Hyperspectral Image
manifold-Based Sparse Representation for Hyperspectral Image Classification
manifold-Based Visual Object Counting
manifold-constrained coding and sparse representation for human action recognition
manifold-Contrastive Broad Learning System for Wheelset Bearing Fault Diagnosis
manifold-enhanced Segmentation through Random Walks on Linear Subspace Priors
manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning
manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning
manifold-Manifold Distance and its Application to Face Recognition With Image Sets
manifold-Manifold Distance and its Application to Face Recognition With Image Sets
manifold-Manifold Distance with application to face recognition based on image set
manifold-Manifold Distance with application to face recognition based on image set
manifold-ranking based retrieval using k-regular nearest neighbor graph
manifold-ranking embedded order preserving hashing for image semantic retrieval
manifold-Ranking-Based Keyword Propagation for Image Retrieval
manifold-Regularized Selectable Factor Extraction for Semi-supervised Image Classification
manifold-respecting discriminant nonnegative matrix factorization
manifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications
map estimation algorithm for Bayesian polynomial regression on riemannian manifolds, A
Mapping DNN Embedding manifolds for Network Generalization Prediction
Mapping Natural Image Patches by Explicit and Implicit manifolds
Markerless Human Motion Capture using Charting and manifold Constrained Particle Swarm Optimisation
Masking Strategies for Image manifolds
Matching Structures by Computing Minimal Paths on a manifold
Material Classification on Symmetric Positive Definite manifolds
Mathematical Morphology for Real-Valued Images on Riemannian manifolds
Matrix Tri-Factorization with manifold Regularizations for Zero-Shot Learning
Maxwell Normal Distribution in a manifold and Mahalanobis Metric
MEAL: manifold Embedding-based Active Learning
Measuring Image Distances via Embedding in a Semantic manifold
MEQA: manifold embedding quality assessment via anisotropic scaling and Kolmogorov-Smirnov test
Mesh-LBP: A Framework for Extracting Local Binary Patterns From Discrete manifolds, The
Mesh-LBP: Computing Local Binary Patterns on Discrete manifolds, The
Metric imitation by manifold transfer for efficient vision applications
Metric Learning on the manifold of Oriented Ellipses: Application to Facial Expression Recognition
Metric Self Calibration from Screw-Transform manifolds
MGGAN: Solving Mode Collapse Using manifold-Guided Training
MIMA: MAPPER-Induced manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data
MimicGAN: Robust Projection onto Image manifolds with Corruption Mimicking
Minimum Distance between Pattern Transformation manifolds: Algorithm and Applications
Mining on manifolds: Metric Learning Without Labels
MKPLS: manifold Kernel Partial Least Squares for Lipreading and Speaker Identification
MLE-Based Learning on Grassmann manifolds
MMFF: Multi-manifold feature fusion based neural networks for target recognition in complex-valued SAR imagery
MMGAN: manifold-Matching Generative Adversarial Networks
Mobile Visual Search Compression With Grassmann manifold Embedding
Model Transport: Towards Scalable Transfer Learning on manifolds
Model-Centric Data manifold: The Data Through the Eyes of the Model
Model-Driven Domain Adaptation on Product manifolds for Unconstrained Face Recognition
Modeling Correspondences for Multi-Camera Tracking Using Nonlinear manifold Learning and Target Dynamics
Modeling the manifolds of Images of Handwritten Digits
Modeling the product manifold of posture and motion
Modeling the structure of multivariate manifolds: Shape maps
Modeling View and Posture manifolds for Tracking
Modelling character motions on infinite-dimensional manifolds
Modelling the manifold of Facial Expression Using Texture
Modelling the Statistics of Cyclic Activities by Trajectory Analysis on the manifold of Positive-Semi-Definite Matrices
Modified Isomap Approach to manifold Learning in Word Spotting, A
Monocular 3D Tracking of Articulated Human Motion in Silhouette and Pose manifolds
More about VLAD: A leap from Euclidean to Riemannian manifolds
Morphing of manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces
Mosaicing on Adaptive manifolds
Mosaicing with Strips on Adaptive manifolds
Motion Estimation on the Essential manifold
Motion Recovery by Integrating over the Joint Image manifold
Multi-class Classification on Riemannian manifolds for Video Surveillance
Multi-Components Low Dimensional manifold Model For Photonlimited Poisson Noisy Image Reconstruction
Multi-Feature manifold Discriminant Analysis for Hyperspectral Image Classification
Multi-Frequency Polarimetric SAR Classification Based on Riemannian manifold and Simultaneous Sparse Representation
Multi-kernel sparse subspace clustering on the Riemannian manifold of symmetric positive definite matrices
Multi-label feature selection via manifold regularization and dependence maximization
Multi-layer joint gait-pose manifold for human motion modeling
Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering
Multi-manifold clustering: A graph-constrained deep nonparametric method
Multi-manifold Deep Discriminative Cross-Modal Hashing for Medical Image Retrieval
Multi-manifold deep metric learning for image set classification
multi-manifold discriminant analysis method for image feature extraction, A
Multi-manifold Discriminant Isomap for visualization and classification
Multi-manifold discriminant local spline embedding
Multi-manifold LLE learning in pattern recognition
Multi-manifold matrix decomposition for data co-clustering
Multi-manifold metric learning for face recognition based on image sets
Multi-manifold modeling for head pose estimation
Multi-manifold Positive and Unlabeled Learning for Visual Analysis
multi-manifold semi-supervised Gaussian mixture model for pattern classification, A
Multi-manifold-based skin classifier on feature space Voronoi regions for skin segmentation
Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based manifold Regularization: Application to Schizophrenia Study
Multi-output regression on the output manifold
Multi-Scale Multi-Feature Context Modeling for Scene Recognition in the Semantic manifold
Multi-target tracking by discriminative analysis on Riemannian manifold
Multi-Target Tracking on Riemannian manifolds via Probabilistic Data Association
Multi-View 3D Shape and Motion Recovery on the Spatio-Temporal Curve manifold
Multi-View Feature Selection for PolSAR Image Classification via L_2,1 Sparsity Regularization and manifold Regularization
Multi-View Learning a Decomposable Affinity Matrix via Tensor Self-Representation on Grassmann manifold
Multi-view manifold learning with locality alignment
multifactor extension of Grassmann manifolds for face recognition, The
Multilabel Text Classification With Incomplete Labels: A Safe Generative Model With Label manifold Regularization and Confidence Constraint
Multilayer Joint Gait-Pose manifolds for Human Gait Motion Modeling
Multilayer manifold and sparsity constrained nonnegative matrix factorization for hyperspectral unmixing
Multimedia Retrieval Through Unsupervised Hypergraph-Based manifold Ranking
Multimodal manifold Analysis by Simultaneous Diagonalization of Laplacians
Multiple manifold Learning by Nonlinear Dimensionality Reduction
Multiple manifolds Metric Learning with Application to Image Set Classification
Multiple-food recognition considering co-occurrence employing manifold ranking
Multirobot Simultaneous Localization and Mapping Using manifold Representations
Multiscale Analysis for Images on Riemannian manifolds
Multivariate General Linear Models (MGLM) on Riemannian manifolds with Applications to Statistical Analysis of Diffusion Weighted Images
Multivariate Regression via Stiefel manifold Constraints
Multivariate Regression with Gross Errors on manifold-Valued Data
Multiview face recognition based on multilinear decomposition and pose manifold
Mumford-Shah and Potts Regularization for manifold-Valued Data
Mumford-Shah on the Move: Region-Based Segmentation on Deforming manifolds with Application to 3-D Reconstruction of Shape and Appearance from Multi-View Images
MVIRT, a toolbox for manifold-valued image restoration
N2D: (Not Too) Deep Clustering via Clustering the Local manifold of an Autoencoded Embedding
Natural and Realistic Single Image Super-Resolution With Explicit Natural manifold Discrimination
Natural facial expression recognition using differential-AAM and manifold learning
Near-Optimal Connectivity Encoding of 2-manifold Polygon Meshes
Nearest manifold approach for face recognition
Nearest-manifold Classification with Gaussian Processes
Nearest-neighbor search algorithms on non-Euclidean manifolds for computer vision applications
Neighborhood preserving embedding on Grassmann manifold for image-set analysis
Neural Cellular Automata manifold
Neural Face Identification in a 2D Wireframe Projection of a manifold Object
Neural Network Based on SPD manifold Learning for Skeleton-Based Hand Gesture Recognition, A
New Algorithm for Robust Pedestrian Tracking Based on manifold Learning and Feature Selection, A
New Efficient Algorithm for Volume-Preserving Parameterizations of Genus-One 3-manifolds, A
New manifold Representation for Visual Speech Recognition, A
Newton type algorithm on Riemannian manifolds applied to robot vision, and suggestions for improvement of its performance
Noisy manifold learning using neighborhood smoothing embedding
Non-manifold Multi-tessellation: From Meshes to Iconic Representations of Objects
Non-rigid Segmentation Using Sparse Low Dimensional manifolds and Deep Belief Networks
Nonlinear Discriminant Analysis on Embedded manifold
Nonlinear Dynamic Model for Visual Object Tracking on Grassmann manifolds With Partial Occlusion Handling
Nonlinear Dynamic Projection for Noise Reduction of Dispersed manifolds
Nonlinear manifold Clustering By Dimensionality
Nonlinear manifold Learning for Dynamic Shape and Dynamic Appearance
Nonlinear manifold Learning for Visual Speech Recognition
nonlinear manifold learning framework for real-time motion estimation using low-cost sensors, A
Nonlinear manifold Learning Integrated with Fully Convolutional Networks for PolSAR Image Classification
Nonlinear Mean Shift for Clustering over Analytic manifolds
Nonlinear Mean Shift over Riemannian manifolds
Nonlinear Orthogonal NMF on the Stiefel manifold With Graph-Based Total Variation Regularization
Nonlinear Poisson Image Completion using Color manifold
Nonlinear Regression Technique for manifold Valued Data with Applications to Medical Image Analysis, A
Nonlinear shape manifolds as shape priors in level set segmentation and tracking
Nonlinear Shape-Texture manifold Learning
Nonlocal Denoising Algorithm for manifold-Valued Images Using Second Order Statistics, A
Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and manifold Processing
Nonparametric Bayesian Regression and Classification on manifolds, With Applications to 3D Cochlear Shapes
Nonparametric Regression Between General Riemannian manifolds
Novel Algorithm for Volume-Preserving Parameterizations of 3-manifolds, A
novel dictionary-based approach for missing sample recovery of signals in manifold, A
novel image classification method based on manifold learning and Gaussian mixture model, A
Novel Label Enhancement Algorithm Based on manifold Learning, A
Novel Perspective to Zero-Shot Learning: Towards an Alignment of manifold Structures via Semantic Feature Expansion, A
Novel Rank Correlation Measure for manifold Learning on Image Retrieval and Person Re-ID, A
Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based manifold Learning, A
novel target detection algorithm combining foreground and background manifold-based models, A
O-GAN: Object manifold Embedding GAN for Image Generation by Disentangling Parameters into Pose and Shape Manifolds
O-GAN: Object manifold Embedding GAN for Image Generation by Disentangling Parameters into Pose and Shape Manifolds
Object Co-segmentation via Graph Optimized-Flexible manifold Ranking
Object Detection Using Multi-local Feature manifolds
Object manifold Alignment for Multi-temporal High Resolution Remote Sensing Images Classification
Object Proposals Estimation in Depth Image Using Compact 3D Shape manifolds
Object segmentation by traversing a pose-shape manifold
Object Tracking Using Globally Coordinated Nonlinear manifolds
Object tracking using learned feature manifolds
Object-Colour manifold
Occluded human action analysis using dynamic manifold model
OMG-Attack: Self-Supervised On-manifold Generation of Transferable Evasion Attacks
OMGH: Online manifold-Guided Hashing for Flexible Cross-Modal Retrieval
On Analyzing Diffusion Tensor Images by Identifying manifold Structure Using Isomaps
On Bayesian Estimation in manifolds
On Characterization and Decomposition of Isothetic Distance Functions for 2-manifolds
On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying manifold Structure
On manifold Structure of Cardiac MRI Data: Application to Segmentation
On manifolds in Gaussian Scale Space
On Modelling Nonlinear Shape-and-Texture Appearance manifolds
On non-linear characterization of tissue abnormality by constructing disease manifolds
On some global topological aspects of manifold learning
On the Curve Reconstruction in Riemannian manifolds
On the estimation of geodesic paths on sampled manifolds under random projections
On the Mean Curvature Flow on Graphs with Applications in Image and manifold Processing
On the Quotient Representation for the Essential manifold
On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration
Online domain-shift learning and object tracking based on nonlinear dynamic models and particle filters on Riemannian manifolds
Online Learning of Probabilistic Appearance manifolds for Video-Based Recognition and Tracking
Online Maps and Cloud-Supported Location-Based Services Across a manifold of Devices
Optical Flow and Advection on 2-Riemannian manifolds: A Common Framework
Optical Flow on Moving manifolds
Optimal Image Alignment With Random Projections of manifolds: Algorithm and Geometric Analysis
Optimal Transport for manifold-Valued Images
Optimization in Differentiable manifolds in Order to Determine the Method of Construction of Prehistoric Wall Paintings
Optimization on Lie manifolds and pattern recognition
Optimization on the manifold of multiple homographies
Optimizing over Radial Kernels on Compact manifolds
Ordinary Preserving manifold Analysis for Human Age and Head Pose Estimation
Ordinary preserving manifold analysis for human age estimation
Out-of-Sample Embedding for manifold Learning Applied to Face Recognition
Out-of-Sample Extension to manifold Learning via Meta-Modeling, An
Out-of-Sample Extrapolation of Learned manifolds
Out-of-Sample Generalizations for Supervised manifold Learning for Classification
Oversimplified Euler Operators for a Non-oriented, Non-manifold B-Rep Data Structure
Overview of Shelling for 2-manifold Surface Reconstruction Based on 3D Delaunay Triangulation
Panoramic Mosaics By manifold Projection
Parallel Douglas-Rachford Algorithm for Minimizing ROF-like Functionals on Images with Values in Symmetric Hadamard manifolds, A
Parallel Transport Convolution: Deformable Convolutional Networks on manifold-Structured Data
Parametric Classification of Bingham Distributions Based on Grassmann manifolds
Parametric manifold of an Object under Different Viewing Directions
Part-based human detection on Riemannian manifolds
Partial difference equations on graphs for Mathematical Morphology operators over images and manifolds
Parzen Window Approximation on Riemannian manifold
Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds
PDRLRR: A novel low-rank representation with projection distance regularization via manifold optimization for clustering
Pedestrian Detection in Video Images via Error Correcting Output Code Classification of manifold Subclasses
Pedestrian Detection via Classification on Riemannian manifolds
Perception-Based Visualization of manifold-Valued Medical Images Using Distance-Preserving Dimensionality Reduction
Perceptual stereoscopic image quality assessment method with tensor decomposition and manifold learning
Perfect Discrete Morse Functions on Triangulated 3-manifolds
Peripapillary Atrophy Detection by Sparse Biologically Inspired Feature manifold
Persistent Homology on Grassmann manifolds for Analysis of Hyperspectral Movies
Person re-identification by manifold ranking
Person re-identification using sparse representation with manifold constraints
Piecewise-Bezier C1 Interpolation on Riemannian manifolds with Application to 2D Shape Morphing
Point pattern matching based on manifold embedding
Point-manifold Discriminant Analysis for Still-to-Video Face Recognition
Polynomial Regression on Riemannian manifolds
Pose estimation using facial feature points and manifold learning
Pose Invariant Generic Object Recognition with Orthogonal Axis manifolds in Linear Subspace
Pose manifold curvature is typically less near frontal face views
Pose-NDF: Modeling Human Pose manifolds with Neural Distance Fields
pose-wise linear illumination manifold model for face recognition using video, A
Posed Face Image Synthesis Using Nonlinear manifold Learning
Practical Cross-modal manifold Alignment for Robotic Grounded Language Learning
Prediction of Clinical Information from Cardiac MRI Using manifold Learning
Prediction-based classification using learning on Riemannian manifolds
Predictive Quantization on the Stiefel manifold
PRIMAL-GMM: PaRametrIc manifold Learning of Gaussian Mixture Models
Principal Curves on Riemannian manifolds
Principal manifolds and Bayesian Subspaces for Visual Recognition
Principal manifolds and Probabilistic Subspaces for Visual Recognition
Priors with Coupled First and Second Order Differences for manifold-Valued Image Processing
Probabilistic Detection of Crowd Events on Riemannian manifolds
Probabilistic expression analysis on manifolds
Probabilistic tracking on Riemannian manifolds
Product manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space
Progressive Attentional manifold Alignment for Arbitrary Style Transfer
Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs
Projection Method for Optimization Problems on the Stiefel manifold, A
Projection Metric Learning on Grassmann manifold with Application to Video based Face Recognition
Projection onto a Shape manifold for Image Segmentation with Prior
Projection onto the manifold of Elongated Structures for Accurate Extraction
Projective manifold Gradient Layer for Deep Rotation Regression
Prototype learning and collaborative representation using Grassmann manifolds for image set classification
Proxy Step-Size Technique for Regularized Optimization on the Sphere manifold, The
PSyCo: manifold Span Reduction for Super Resolution
Pursuing Informative Projection on Grassmann manifold
Putting images on a manifold for atlas-based image segmentation
Putting local features on a manifold
Quantifying Extrinsic Curvature in Neural manifolds
Quotient Set-based Nonlinear manifold for Image Restoration
Rail transit OD-matrix completion via manifold regularized tensor factorisation
Random forest regression for manifold-valued responses
Random Forest-Based manifold Learning for Classification of Imaging Data in Dementia
Random projections on manifolds of Symmetric Positive Definite matrices for image classification
Randomised manifold Forests for Principal Angle-Based Face Recognition
Rank Flow Embedding for Unsupervised and Semi-Supervised manifold Learning
Rate-Invariant Analysis of Trajectories on Riemannian manifolds with Application in Visual Speech Recognition
Re-evaluation of Pedestrian Detection on Riemannian manifolds, A
Real-Time Intensity-Image Reconstruction for Event Cameras Using manifold Regularisation
Real-Time Intensity-Image Reconstruction for Event Cameras Using manifold Regularisation
Reconstructing 3D Face Model with Associated Expression Deformation from a Single Face Image via Constructing a Low-Dimensional Expression Deformation manifold
Reconstructing images from their most singular fractal manifold
Reconstructing the Noise Variance manifold for Image Denoising
Reconstructing Thin Structures of manifold Surfaces by Integrating Spatial Curves
Recovering human pose in 3D by visual manifolds
Recovery of epipolar geometry as a manifold fitting problem
recursive filter for linear systems on Riemannian manifolds, A
Reference-Guided Deep Super-Resolution via manifold Localized External Compensation
Regional manifold Learning for Disease Classification
Registration of unseen images based on the generative manifold modeling of variations of appearance and anatomical shape in brain population
Regressed Importance Sampling on manifolds for Efficient Object Tracking
regularized approach for unsupervised multi-view multi-manifold learning, A
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian manifolds
Relational divergence based classification on Riemannian manifolds
Relative Camera Pose Estimation Method Using Optimization On The manifold
Reliable Representation of Data on manifolds
Rendering by manifold Hopping
Representation of colored images by manifolds embedded in higher dimensional non-Euclidean space
Representing 3D texture on mesh manifolds for retrieval and recognition applications
Representing object manifolds by parametrized SOMs
Reranking of person re-identification by manifold-based approach
Retrieving video shots in semantic brain imaging space using manifold-ranking
Revealing Smooth Structure of Visual Data by Permutation on manifolds
Reweighted Non-Convex Non-Smooth Rank Minimization Based Spectral Clustering on Grassmann manifold
RGB-D saliency detection via mutual guided manifold ranking
Riemannian manifold Learning
Riemannian manifold Learning for Nonlinear Dimensionality Reduction
Riemannian manifold Learning, Clustering
Riemannian manifold optimisation for non-rigid structure from motion
Riemannian manifold-based support vector machine for human activity classification in images
Riemannian manifold-valued part-based features and geodesic-induced kernel machine for activity classification dedicated to assisted living
Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on manifold-Valued Data
Robust classification using support vector machine in low-dimensional manifold space for automatic target recognition
robust confirmable watermarking algorithm for 3D mesh based on manifold harmonics analysis, A
Robust deformable shape reconstruction from monocular video with manifold forests
Robust Domain Adaptation on the L1-Grassmannian manifold
Robust faces manifold modeling: Most expressive vs. most Sparse criterion
Robust feature matching via neighborhood manifold representation consensus
Robust frontal view search using extended manifold learning
Robust Global Registration through Geodesic Paths on an Empirical manifold with Knee MRI from the Osteoarthritis Initiative (OAI)
Robust Head Pose Estimation Using Supervised manifold Learning
Robust head pose estimation using supervised manifold projection
Robust High-Order manifold Constrained Low Rank Representation for Subspace Clustering
Robust High-Order manifold Constrained Sparse Principal Component Analysis for Image Representation
robust intrinsic feature of images derived from the tensor manifold, A
Robust learning of discriminative projection for multicategory classification on the Stiefel manifold
Robust manifold Learning via Conformity Pursuit
Robust Multi-Task Learning With Flexible manifold Constraint
Robust Non-rigid Object Tracking Using Point Distribution manifolds
Robust Nonlinear Dimensionality Reduction for manifold Learning
Robust object pose estimation via statistical manifold modeling
Robust Object Tracking Using manifold Regularized Convolutional Neural Networks
Robust object tracking via online learning of adaptive appearance manifold
Robust PCA: Optimization of the Robust Reconstruction Error Over the Stiefel manifold
Robust Principal Component Pursuit via Inexact Alternating Minimization on Matrix manifolds
Robust regression on image manifolds for ordered label denoising
Robust Sparse Imaging Algorithm Using Joint MIMO Array manifold and Array Channel Outliers, A
Robust statistics on Riemannian manifolds via the geometric median
Robust unambiguous parametrization of the essential manifold
Robust visual tracking via efficient manifold ranking with low-dimensional compressive features
Robust Visual Tracking via Smooth manifold Kernel Sparse Learning
ROC manifold for classification systems, The
Role of manifold Learning in Human Motion Analysis, The
Rolling Riemannian manifolds to Solve the Multi-class Classification Problem
Rotated face recognition by manifold learning with auto-associative neural network
Rotation update on manifold in probabilistic NRSFM for robust 3D face modeling
Saliency Detection via a Multiple Self-Weighted Graph-Based manifold Ranking
Saliency Detection via Graph-Based manifold Ranking
Salient object detection via incorporating multiple manifold ranking
Sampling and Reconstruction of Surfaces and Higher Dimensional manifolds
SAR Target Recognition via Local Sparse Representation of Multi-manifold Regularized Low-Rank Approximation
Sasaki metrics for analysis of longitudinal data on manifolds
Scalable Person Re-identification on Supervised Smoothed manifold
Scale-space representation of scalar functions on 2D manifolds
Scene Recognition on the Semantic manifold
Secrets of Matrix Factorization: Approximations, Numerics, manifold Optimization and Random Restarts
Sectional Curvature in Terms of the Cometric, with Applications to the Riemannian manifolds of Landmarks
Segmentation Informed by manifold Learning
Segmentation of High Angular Resolution Diffusion MRI Using Sparse Riemannian manifold Clustering
Segmentation on statistical manifold with watershed transform
Segmenting Cardiopulmonary Images Using manifold Learning with Level Sets
Segmenting Images on the Tensor manifold
Segmenting Motions of Different Types by Unsupervised manifold Clustering
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear manifolds
Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery
Self-Supervised Clustering based on manifold Learning and Graph Convolutional Networks
Semantic clusters based manifold ranking for image retrieval
Semantic manifold modularization-based ranking for image recommendation
Semi-Continuity of Skeletons in Two-manifold and Discrete Voronoi Approximation
Semi-intrinsic Mean Shift on Riemannian manifolds
Semi-supervised classification via discriminative sparse manifold regularization
Semi-supervised cross-modal common representation learning with vector-valued manifold regularization
Semi-supervised elastic manifold embedding with deep learning architecture
Semi-Supervised Framework for Mapping Data to the Intrinsic manifold, A
Semi-supervised learning of anatomical manifolds for atlas-based segmentation of medical images
Semi-supervised Learning on Semantic manifold for Event Analysis in Dynamic Scenes
Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction
Semi-supervised manifold learning based on 2-fold weights
Semi-supervised manifold regularization with adaptive graph construction
Semi-supervised manifold-embedded hashing with joint feature representation and classifier learning
Semi-supervised multi-output image manifold regression
Semi-supervised partial multi-label classification with low-rank and manifold constraints
Semi-supervised sub-manifold discriminant analysis
Semi-supervised SVM for manifold Learning, A
Semisupervised charting for spectral multimodal manifold learning and alignment
Semisupervised manifold Alignment of Multimodal Remote Sensing Images
Semisupervised manifold learning for color transfer between multiview images
Semisupervised Sparse manifold Discriminative Analysis for Feature Extraction of Hyperspectral Images
Semisupervised Spatial Spectral Regularized manifold Local Scaling Cut With HGF for Dimensionality Reduction of Hyperspectral Images, A
Semixup: In- and Out-of-manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs
Separating style and content on a nonlinear manifold
set of co-occurrence matrices on the intrinsic manifold of human silhouettes for action recognition, A
Shape manifolds, Procrustean Metrics, and Complex Projective Spaces
Shape Matching by Variational Computation of Geodesics on a manifold
Shape Priors using manifold Learning Techniques
Shape retrieval based on manifold learning by fusion of dissimilarity measures
Shareability-Exclusivity Representation on Product Grassmann manifolds for Multi-camera video clustering
Shared manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer's Disease Diagnosis
Short- Time Beltrami Kernel for Smoothing Images and manifolds, A
Siamese Networks: The Tale of Two manifolds
Silhouette-based gesture and action recognition via modeling trajectories on Riemannian shape manifolds
Similar Handwritten Chinese Character Recognition Using Discriminative Locality Alignment manifold Learning
Simplex-based dimension estimation of topological manifolds
Simplicial Complex Based Point Correspondence Between Images Warped onto manifolds
SimpliMix: A Simplified manifold Mixup for Few-shot Point Cloud Classification
Simulation of Fractional Brownian Surfaces via Spectral Synthesis on manifolds
Simultaneous Identity and Expression Recognition Using Face Geometry on Low Dimensional manifolds
Simultaneous Inference of View and Body Pose using Torus manifolds
Simultaneous Learning of Nonlinear manifold and Dynamical Models for High-dimensional Time Series
Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions
Smooth Multi-manifold Embedding for Robust Identity-Independent Head Pose Estimation
Space of Essential Matrices as a Riemannian Quotient manifold, The
Space-Time Parameterized Variety manifolds: A Novel Approach for Arbitrary Multi-perspective 3D View Generation
Space-Time Scene manifolds
Spaces and manifolds of shapes in computer vision: An overview
Sparse discriminative multi-manifold embedding for one-sample face identification
Sparse Exact PGA on Riemannian manifolds
Sparse manifold Classification Method Based on a Multi-Dimensional Descriptive Primitive of Polarimetric SAR Image Time Series, A
Sparse representation classification with manifold constraints transfer
Sparse Representation Over Learned Dictionaries on the Riemannian manifold for Automated Grading of Nuclear Pleomorphism in Breast Cancer
Sparse representation with multi-manifold analysis for texture classification from few training images
Sparse Subspace Denoising for Image manifolds
Sparse Transfer manifold Embedding for Hyperspectral Target Detection
Spatial-spectral manifold Embedding of Hyperspectral Data
Spatial-Spectral Multiple manifold Discriminant Analysis for Dimensionality Reduction of Hyperspectral Imagery
Spatio-temporal manifold Embedding for Nearly-Repetitive Contents in a Video Stream
Spatiotemporal Alignment of Visual Signals on a Special manifold
Spectral and Spatial Proximity-Based manifold Alignment for Multitemporal Hyperspectral Image Classification
Spectral Clustering on Grassmann manifold via Double Low Rank Constraint, A
Spectral Embedded Clustering on Multi-manifold
Spectral methods for semi-supervised manifold learning
Spectral-Locational-Spatial manifold Learning for Hyperspectral Images Dimensionality Reduction
Spectral-Spatial Weighted Kernel manifold Embedded Distribution Alignment for Remote Sensing Image Classification
Speech-Driven Facial Animation Using manifold Relevance Determination
SphereReID: Deep hypersphere manifold embedding for person re-identification
Spine Segmentation in Medical Images Using manifold Embeddings and Higher-Order MRFs
Spontaneous Expression Detection from 3D Dynamic Sequences by Analyzing Trajectories on Grassmann manifolds
statistic manifold kernel with graph embedding discriminant analysis for action and expression recognition, A
Statistical Analyses of Brain Surfaces Using Gaussian Random Fields on 2-D manifolds
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
Statistical Computations on Grassmann and Stiefel manifolds for Image and Video-Based Recognition
Statistical Computing on manifolds: From Riemannian Geometry to Computational Anatomy
Statistical shape model for manifold regularization: Gleason grading of prostate histology
Statistics on the manifold of Multivariate Normal Distributions: Theory and Application to Diffusion Tensor MRI Processing
Stratified Self Calibration from Screw-Transform manifolds
Structure Evolution on manifold for Graph Learning
Structure-guided manifold learning for video-based motion estimation
Style Adaptive Bayesian Tracking Using Explicit manifold Learning
Style adaptive contour tracking of human gait using explicit manifold models
Subspace Estimation Using Projection Based M-Estimators over Grassmann manifolds
Subspace Learning of Dynamics on a Shape manifold: A Generative Modeling Approach
Subspace manifold learning with sample weights
Subspaces Indexing Model on Grassmann manifold for Image Search
Supervised discriminative manifold learning with subsidiary-view information for near infrared spectroscopic classification of crop seeds
Supervised hierarchical neighborhood graph construction for manifold learning
Supervised manifold-learning Algorithm for Polsar Feature Extraction and LULC Classification
Surface Displaced from a manifold, A
Surface height recovery from surface normals using manifold embedding
Surface height recovery using heat flow and manifold embedding
Surface Matching with Large Deformations and Arbitrary Topology: A Geodesic Distance Evolution Scheme on a 3-manifold
Symmetry constrained shape evolution in shape manifolds for shape based retrieval
Synthesising Appearance manifolds using Shape-from-Shading
Tangent Bundles on Special manifolds for Action Recognition
Tangent Fisher Vector on Matrix manifolds for Action Recognition
Task-adaptive Few-shot Learning on Sphere manifold
TEC Forecasting Based on manifold Trajectories
Tensor Decomposition and Non-linear manifold Modeling for 3D Head Pose Estimation
Tensor manifold Discriminant Projections for Acceleration-Based Human Activity Recognition
Tensorized Feature Extraction Technique for Multimodality Preserving manifold Visualization
TextManiA: Enriching Visual Feature by Text-driven manifold Augmentation
Texture manifold for Curve-Based Morphometry of the Cerebral Cortex, A
Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse manifolds
Topological manifold-based monitoring method for train-centric virtual coupling control systems
Topological Reconstruction of a Smooth manifold-Solid from its Occluding Contour
Total Generalized Variation for manifold-Valued Data
Total Variation Regularization for Functions with Values in a manifold
Total Variation Regularization for manifold-Valued Data
Toward Optimal manifold Hashing via Discrete Locally Linear Embedding
Towards Segmentation Based on a Shape Prior manifold
Towards view-invariant expression analysis using analytic shape manifolds
Tracking Hand Rotation and Grasping from an IR Camera Using Cylindrical manifold Embedding
Tracking hand rotation and various grasping gestures from an IR camera using extended cylindrical manifold embedding
Tracking on the Product manifold of Shape and Orientation for Tractography from Diffusion MRI
Tracking visual and infrared objects using joint Riemannian manifold appearance and affine shape modeling
Train Protection Logic Based on Topological manifolds for Virtual Coupling, A
Transductive Few-Shot Classification on the Oblique manifold
Transfer Learning for Driver Model Adaptation in Lane-Changing Scenarios Using manifold Alignment
Transport on Riemannian manifold for Connectivity-Based Brain Decoding
Two-Dimensional Global Image Registration Using Local Linear Property of Image manifold
Two-Layer Framework for Piecewise Linear manifold-Based Head Pose Estimation, A
Two-stage modality-graphs regularized manifold ranking for RGB-T tracking
Unbiased manifold Augmentation for Coarse Class Subdivision
Unconstrained face recognition using MRF priors and manifold traversing
Unfolding a Face: From Singular to manifold
Unfolding Kernel embeddings of graphs: Enhancing class separation through manifold learning
Unscented Kalman Filtering on Riemannian manifolds
Unsupervised Adaptation of a Person-Specific manifold of Facial Expressions
Unsupervised Alignment of Image manifolds with Centrality Measures
Unsupervised Assignment Flow: Label Learning on Feature manifolds by Spatially Regularized Geometric Assignment
Unsupervised categorical shape reconstruction through manifolds
Unsupervised dimensionality estimation and manifold learning in high-dimensional spaces by tensor voting
Unsupervised domain adaptation using manifold alignment for object and event categorization
Unsupervised domain adaptation using parallel transport on Grassmann manifold
Unsupervised Domain Adaptation via Discriminative manifold Propagation
Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding manifold
Unsupervised feature selection based on spectral regression from manifold learning for facial expression recognition
Unsupervised feature selection by manifold regularized self-representation
Unsupervised Image Matching Based on manifold Alignment
Unsupervised iterative manifold alignment via local feature histograms
Unsupervised Label Learning on manifolds by Spatially Regularized Geometric Assignment
Unsupervised Learning of Image manifolds by Semidefinite Programming
Unsupervised learning of micro-action exemplars using a Product manifold
Unsupervised Learning of Shape manifolds
Unsupervised Local Linear Preserving manifold Reduction with Uncertainty Pretraining for Image Recognition
Unsupervised manifold alignment using soft-assign technique
Unsupervised manifold learning based on multiple feature spaces
Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval
Unsupervised manifold Learning for Video Genre Retrieval
Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks
Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks
Unsupervised manifold Linearizing and Clustering
Unsupervised manifold-Preserving and Weakly Redundant Band Selection Method for Hyperspectral Imagery
Unsupervised Maximum Margin Feature Selection with manifold regularization
Unsupervised Multi-Class Co-Segmentation via Joint-Cut Over L_1-manifold Hyper-Graph of Discriminative Image Regions
Unsupervised Multi-manifold Classification of Hyperspectral Remote Sensing Images with Contractive Autoencoder
Unsupervised Nonlinear manifold Learning
Unsupervised Random Forest manifold Alignment for Lipreading
Unsupervised skeleton learning for manifold denoising
Untangling fibers by quotient appearance manifold mapping for grayscale shape classification
Untangling Object-View manifold for Multiview Recognition and Pose Estimation
Using a Product manifold distance for unsupervised action recognition
Using the vector distance functions to evolve manifolds of arbitrary codimension
Using Vector Quantization to Build Nonlinear Factorial Models of the Low-dimensional Independent manifolds in Optical Imaging Data
Validation and Evaluation of a Ship Echo-Based Array Phase manifold Calibration Method for HF Surface Wave Radar DOA Estimation and Current Measurement
Variational Approach to Recovering a manifold from Sample Points, A
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex manifold
Variational Bayesian Orthogonal Nonnegative Matrix Factorization Over the Stiefel manifold
Variational Beltrami flows over manifolds
Variational manifold Learning From Incomplete Data: Application to Multislice Dynamic MRI
Vehicle color classification using manifold learning methods from urban surveillance videos
Vertex-Based Boundary Representations of Non-manifold Geometric Models
Video Mosaicing using manifold Projection
Video Motion Segmentation Using New Adaptive manifold Denoising Model
Video object inpainting using manifold-based action prediction
Video Salient Object Detection via Robust Seeds Extraction and Multi-Graphs manifold Propagation
Video-based face recognition using probabilistic appearance manifolds
Video-Based Human Walking Estimation Using Joint Gait and Pose manifolds
View and Style-Independent Action manifolds for Human Activity Recognition
View Invariant Activity Recognition with manifold Learning
View Invariant Body Pose Estimation Based on Biased manifold Learning
View Point Tracking of Rigid Objects Based on Shape Sub-manifolds
Viewpoint manifolds for Action Recognition
Visual learning and recognition of sequential data manifolds with applications to human movement analysis
Visual object tracking via a manifold regularized discriminative dual dictionary model
Visual object tracking with online learning on Riemannian manifolds by one-class support vector machines
Visual query compression with locality preserving projection on Grassmann manifold
Visual saliency based on extended manifold ranking and third-order optimization refinement
Visual Saliency Weighting and Cross-Domain manifold Ranking for Sketch-Based Image Retrieval
Visual saliency: A manifold way of perception
Visual tracking and dynamic learning on the Grassmann manifold with inference from a Bayesian framework and state space models
Visual tracking and recognition using probabilistic appearance manifolds
Visual tracking via manifold regularized local structured sparse representation model
Visual Words Assignment Via Information-Theoretic manifold Embedding
Visualization of Hyperspectral Imaging Data Based on manifold Alignment
Vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation, The
VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous manifolds
Voronoi-Based Segmentation of Cells on Image manifolds
VTAE: Variational Transformer Autoencoder With manifolds Learning
Waveform Design for Target Information Maximization over a Complex Circle manifold
Weakly supervised learning based on hypergraph manifold ranking
Weakly Supervised manifold Learning for Dense Semantic Object Correspondence
Weibull manifold in low-level image processing: An application to automatic image focusing, The
Weighted manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets
Weighted Patch-based manifold Regularization Dictionary Pair Learning model for facial expression recognition using Iterative Optimization Classification Strategy
Wrapped Gaussian Process Regression on Riemannian manifolds
Zero Shot Learning via Multi-scale manifold Regularization
Zero-Shot Learning Using Stacked Autoencoder with manifold Regularizations
Zero-Shot Learning via Low-Rank-Representation Based manifold Regularization
Zero-Shot Learning via Robust Latent Representation and manifold Regularization
Zero-shot object recognition by semantic manifold distance
1338 for manifold

_manifoldization_
manifoldization of beta-Shapes by Topology Operators

_manifoldnet_
manifoldnet: A Deep Neural Network for Manifold-Valued Data With Applications

Index for "m"


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