Graph Regularized Sparse Coding for Image Representation

No abstract is available for this paper.

• Publication year

  2011

• Venue

  IEEE Transactions on Image Processing

• Publication date

  2011-05-01

• Fields of study

  Mathematics, Computer Science, Medicine

• Identifiers
  DOI 10.1109/TIP.2010.2090535PMID 21047712
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Locally Consistent Concept Factorization for Document Clustering

  2011cited by this paper
• Gaussian Mixture Model with Local Consistency

  2010cited by this paper
• Local features are not lonely – Laplacian sparse coding for image classification

  2010cited by this paper
• Non-local sparse models for image restoration

  2009cited by this paper
• SENSC: a Stable and Efficient Algorithm for Nonnegative Sparse Coding: SENSC: a Stable and Efficient Algorithm for Nonnegative Sparse Coding

  2009cited by this paper
• Probabilistic dyadic data analysis with local and global consistency

  2009cited by this paper
• Linear spatial pyramid matching using sparse coding for image classification

  2009cited by this paper
• Online dictionary learning for sparse coding

  2009cited by this paper
• Robust Face Recognition via Sparse Representation

  2009cited by this paper
• Learning invariant features through topographic filter maps

  2009cited by this paper
• Sparse Representation for Color Image Restoration

  2008cited by this paper
• Non-negative Matrix Factorization on Manifold

  2008cited by this paper
• Supervised Dictionary Learning

  2008cited by this paper
• Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches

  2007cited by this paper
• An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares

  2007cited by this paper
• Self-taught learning: transfer learning from unlabeled data

  2007cited by this paper
• $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

  2006influential reference
• Stable recovery of sparse overcomplete representations in the presence of noise

  2006cited by this paper
• Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries

  2006influential reference
• Dimensionality Reduction by Learning an Invariant Mapping

  2006cited by this paper
• Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

  2006cited by this paper
• Efficient Learning of Sparse Representations with an Energy-Based Model

  2006cited by this paper
• Efficient sparse coding algorithms

  2006cited by this paper
• Sparse Representation for Signal Classification

  2006cited by this paper
• Document clustering using locality preserving indexing

  2005cited by this paper
• Sparse geometric image representations with bandelets

  2005cited by this paper
• K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation

  2005cited by this paper
• IEEE Transactions on Image Processing

  2004cited by this paper
• The generalized LASSO

  2004cited by this paper
• Learning to detect objects in images via a sparse, part-based representation

  2004cited by this paper
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?

  2004cited by this paper
• A Direct Formulation for Sparse PCA Using Semidefinite Programming

  2004cited by this paper
• Non-negative Matrix Factorization with Sparseness Constraints

  2004cited by this paper
• Learning with Local and Global Consistency

  2003cited by this paper
• Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space

  2003cited by this paper
• Framing pyramids

  2003cited by this paper
• Recovering edges in ill-posed inverse problems: optimality of curvelet frames

  2002cited by this paper
• Introduction to Smooth Manifolds

  2002cited by this paper
• On Spectral Clustering: Analysis and an algorithm

  2001cited by this paper
• Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering

  2001cited by this paper
• A global geometric framework for nonlinear dimensionality reduction.

  2000cited by this paper
• Nonlinear dimensionality reduction by locally linear embedding.

  2000cited by this paper
• Parallel Optimization: Theory, Algorithms and Applications

  2000cited by this paper
• Practical Methods of Optimization: Fletcher/Practical Methods of Optimization

  2000cited by this paper
• Atomic Decomposition by Basis Pursuit

  1998cited by this paper
• Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations

  1998cited by this paper
• A wavelet tour of signal processing

  1998cited by this paper
• Sparse coding with an overcomplete basis set: a strategy employed by V1?

  1997cited by this paper
• Normalized cuts and image segmentation

  1997cited by this paper
• Emergence of simple-cell receptive field properties by learning a sparse code for natural images

  1996influential reference
• Sparse Approximate Solutions to Linear Systems

  1995cited by this paper
• Matching pursuits with time-frequency dictionaries

  1993cited by this paper
• Compressive Sampling

  year unknowncited by this paper
• Submitted to Ieee Transactions on Image Processing Image Decomposition via the Combination of Sparse Representations and a Variational Approach

  year unknowncited by this paper

• Graph-constrained quantile regression: Unifying structured regularization and robust modeling for enhanced accuracy and interpretability

  2025cites this paper
• Novel Dictionary Pair Learning Through Locality-Constrained Profiles for the Identification of Chili Pepper Varieties via E-Noses

  2025cites this paper
• Data-Driven Tensor Dictionary Learning for Image Alignment

  2025cites this paper
• Deep Unrolled Graph Laplacian Regularization for Robust Time-of-Flight Depth Denoising

  2025cites this paper
• Cross-subject motor imagery classification via transfer Riemannian space-based sparse coding

  2025cites this paper
• Optimal Graph Learning-Based Label Propagation for Cross-Domain Image Classification

  2025cites this paper
• Efficient data stream clustering via elastic sparse representation and Bayesian dictionary learning

  2025cites this paper
• Analysis discriminative convolutional graph dictionary learning for generalized signal classification

  2025cites this paper
• Non-negative consistency affinity graph learning for unsupervised feature selection and clustering

  2024cites this paper
• Locally Regularized Sparse Graph by Fast Proximal Gradient Descent

  2024cites this paper
• Multi-View Graph Embedding Learning for Image Co-Segmentation and Co-Localization

  2024cites this paper
• Multigraph approximate-representation learning for hyperspectral band selection

  2024influential citation
• State Estimation in Partially Observable Power Systems via Graph Signal Processing Tools

  2023cites this paper
• Jointly projection and graph-regularization coupled discriminative dictionary learning for image classification

  2023cites this paper
• A Survey on High-Dimensional Subspace Clustering

  2023cites this paper
• GFBLS: Graph-regularized fuzzy broad learning system for detection of interictal epileptic discharges

  2023cites this paper
• Robust multi-view subspace enhanced representation based on collaborative constraints and HSIC induction

  2023cites this paper
• Leveraging self-paced learning and deep sparse embedding for image clustering

  2023cites this paper
• Subspace Clustering via Adaptive Non-Negative Representation Learning and Its Application to Image Segmentation

  2023cites this paper
• Sparse coding based on L2,1-norm and manifold regularization for remote sensing images

  2022cites this paper
• Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction

  2022cites this paper
• Accelerated Partially Shared Dictionary Learning With Differentiable Scale-Invariant Sparsity for Multi-View Clustering

  2022cites this paper
• Dictionary Learning of Symmetric Positive Definite Data Based on Riemannian Manifold Tangent Spaces and Local Homeomorphism

  2022influential citation
• Nonconvex low-rank and sparse tensor representation for multi-view subspace clustering

  2022cites this paper
• Hierarchical Graph Augmented Deep Collaborative Dictionary Learning for Classification

  2022cites this paper
• An l½ and Graph Regularized Subspace Clustering Method for Robust Image Segmentation

  2022cites this paper
• Probabilistic Embeddings with Laplacian Graph Priors

  2022cites this paper
• Robust Spectral Clustering via Low-Rank Sample Representation

  2022influential citation
• Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection

  2022cites this paper
• Improving reconstruction-based coding methods for image classification: a visual dictionary refining method

  2022cites this paper
• A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data

  2022cites this paper
• MAP Estimation of Graph Signals

  2022cites this paper
• Revisiting graph neural networks from hybrid regularized graph signal reconstruction

  2022cites this paper
• Two-Stage Sparse Representation Clustering for Dynamic Data Streams

  2022cites this paper
• Graph Filters for Signal Processing and Machine Learning on Graphs

  2022cites this paper
• Soft hypergraph regularized weighted low rank subspace clustering for hyperspectral image band selection

  2022cites this paper
• Adaptive graph regularized and label embedded dictionary learning for pattern classification

  2022influential citation
• Three-constraints affinity matrix on simultaneous identification of the clustering and cardinality of wireless propagation multipaths

  2022cites this paper
• Shared Dictionary Learning Via Coupled Adaptations for Cross-Domain Classification

  2022cites this paper
• Transfer learning for estimating occupancy and recognizing activities in smart buildings

  2022cites this paper
• Multiview Robust Graph-Based Clustering for Cancer Subtype Identification

  2022cites this paper
• Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks

  2022cites this paper
• Density Peaks Clustering Algorithm for Large-scale Data Based on Divide-and-Conquer Strategy

  2021cites this paper
• Average Approximate Hashing-Based Double Projections Learning for Cross-Modal Retrieval

  2021cites this paper
• Laplacian Regularized Nonnegative Representation for Clustering and Dimensionality Reduction

  2021cites this paper
• Robust Bayesian matrix decomposition with mixture of Gaussian noise

  2021cites this paper
• PET Image Reconstruction With Kernel and Kernel Space Composite Regularizer

  2021cites this paper
• Learning robust affinity graph representation for multi-view clustering

  2021cites this paper
• Graph Regularized Deep Sparse Representation for Unsupervised Anomaly Detection

  2021influential citation
• Robust sparse coding via self-paced learning for data representation

  2021cites this paper
• Learning Transferable Sparse Representations for Cross-Corpus Facial Expression Recognition

  2021influential citation
• Outlier Detection for Process Monitoring in Industrial Cyber-Physical Systems

  2021cites this paper
• Dimensionality reduction of tensors based on manifold-regularized tucker decomposition and its iterative solution

  2021cites this paper
• Semi-supervised bi-orthogonal constraints dual-graph regularized NMF for subspace clustering

  2021cites this paper
• Transitive Transfer Sparse Coding for Distant Domain

  2021cites this paper
• Quantum algorithm for MMNG-based DBSCAN

  2021cites this paper
• GPENs: Graph Data Learning With Graph Propagation-Embedding Networks

  2021cites this paper
• Low-rank Dictionary Learning for Unsupervised Feature Selection

  2021cites this paper
• Pansharpening of WorldView-2 Data via Graph Regularized Sparse Coding and Adaptive Coupled Dictionary

  2021cites this paper
• Generalization-error-bound-based discriminative dictionary learning

  2021cites this paper
• Graph and Sparsity Regularized Decomposition Model for Hyperspectral Anomaly Detection

  2021cites this paper
• Multi-Metric Induced Robust Graph

  2021cites this paper
• Collaborative coding and dictionary learning for nearest subspace classification

  2021cites this paper
• Non-negative matrix factorization via adaptive sparse graph regularization

  2021cites this paper
• 3-D Seismic Noise Attenuation via Tensor Sparse Coding With Spatially Adaptive Coherence Constraint

  2021cites this paper
• Multi-source material image optimized selection based multi-option composition

  2021cites this paper
• Unified Low-Rank Subspace Clustering with Dynamic Hypergraph for Hyperspectral Image

  2021cites this paper
• Dual-graph regularized discriminative transfer sparse coding for facial expression recognition

  2021cites this paper
• Graph Regularized Subspace Clustering via Low-Rank Decomposition

  2021cites this paper
• Low-Rank Orthonormal Analysis Dictionary Learning for Image Classification

  2021cites this paper
• Image Quality Assessment Using Kernel Sparse Coding

  2021cites this paper
• Discriminative dictionary learning algorithm with pairwise local constraints for histopathological image classification

  2021cites this paper
• Robust High-Order Manifold Constrained Low Rank Representation for Subspace Clustering

  2021cites this paper
• Structural Sparsity in Multiple Measurements

  2021cites this paper
• GraFT: Graph Filtered Temporal Dictionary Learning for Functional Neural Imaging

  2021cites this paper
• A Dictionary Learning Algorithm Based on Dictionary Reconstruction and Its Application in Face Recognition

  2020cites this paper
• Dimensionality Reduction for Tensor Data Based on Local Decision Margin Maximization

  2020cites this paper
• SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning

  2020cites this paper
• Graph Laplacian Regularization With Sparse Coding for Image Restoration and Representation

  2020influential citation
• DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization

  2020cites this paper
• Structural Constraint and Discriminative Constraint Based Dictionary Pair Learning for Image Classification

  2020cites this paper
• Semi-supervised Sparse Representation with Graph Regularization for Image Classification

  2020cites this paper
• 3D shape clustering with Nonnegative Least Squares coding and fusion on multilayer graphs

  2020cites this paper
• Learnable Graph-Regularization for Matrix Decomposition

  2020cites this paper
• Laplacian regularized low-rank sparse representation transfer learning

  2020cites this paper
• MCMT-GAN: Multi-Task Coherent Modality Transferable GAN for 3D Brain Image Synthesis

  2020cites this paper
• A New Transfer Learning Fault Diagnosis Method Using TSC and JGSA Under Variable Condition

  2020cites this paper
• Membership Affinity Lasso for Fuzzy Clustering

  2020cites this paper
• Heart biometrics based on ECG signal by sparse coding and bidirectional long short-term memory

  2020influential citation
• Speech Emotion Recognition Based on Robust Discriminative Sparse Regression

  2020cites this paper
• Face clustering via learning a sparsity preserving low-rank graph

  2020cites this paper
• Integrated Sparse Coding With Graph Learning for Robust Data Representation

  2020influential citation
• Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks

  2020cites this paper
• Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering

  2020cites this paper
• Multi-view image clustering based on sparse coding and manifold consensus

  2020influential citation
• Construction of Diverse Image Datasets From Web Collections With Limited Labeling

  2020cites this paper
• Robust non-negative matrix factorization with multiple correntropy-induced hypergraph regularizer

  2020cites this paper
• Semisupervised Dictionary Learning with Graph Regularized and Active Points

  2020influential citation
• Theoretical guarantees for graph sparse coding

  2020cites this paper
• Joint graph regularized dictionary learning and sparse ranking for multi-modal multi-shot person re-identification

  2020cites this paper