Sparse Representation for Computer Vision and Pattern Recognition
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- Type
- article
- Published
- 2010-04-29
- Cited by
- 1,958
- References
- 103
- OpenAlex
- https://openalex.org/W2069959554
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:207020771
Keywords
Computer science, Bridging (networking), Fidelity, Sparse approximation, Representation (politics)
References
- Sparse Modeling with Universal Priors and Learned Incoherent Dictionaries(PREPRINT)
- Semi-supervised Learning by Sparse Representation
- Sparse representations for image classification: learning discriminative and reconstructive non-parametric dictionaries
- Compressed Sensing
- Noise robust digit recognition using sparse representations
- Distributed compression and fusion of nonnegative sparse signals for multiple-view object recognition
- Frame based signal compression using method of optimal directions (MOD)
- Shift-invariant sparse coding for audio classification
- Distributed recognition of human actions using wearable motion sensor networks
- Learning With ℓ ^1-Graph for Image Analysis
- Random projections based feature-specific structured imaging.
- Compression of facial images using the K-SVD algorithm
- From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
- Dictionary Preconditioning for Greedy Algorithms
- Atomic Decomposition by Basis Pursuit
- Face recognition: A literature survey
- Multi-task compressive sensing with Dirichlet process priors
- A global geometric framework for nonlinear dimensionality reduction.
- Sparse subspace clustering
- Sparse Modeling of Textures
Cited by
- Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition
- Hierarchical sparse representation for dictionary-based classification of hyperspectral images
- Joint-Structured-Sparsity-Based Classification for Multiple-Measurement Transient Acoustic Signals
- Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification
- A Probabilistic Framework for Discriminative Dictionary Learning
- Sparse coding for machine learning, image processing and computer vision
- Deterministic Compressed Sensing
- Mathematical Approaches for Image Enhancement Problems
- Algorithms for image saliency via sparse representation and multi-scale inputs image retargeting
- Computational approaches to the visual validation of 3D virtual environments
- Configurable hardware integrate and fire neurons for sparse approximation
- Non-linear and Sparse Representations for Multi-Modal Recognition
- Virtual Reality Aided Mobile C-arm Positioning for Image-Guided Surgery
- Collaborative Multi-Sensor Classification Via Sparsity-Based Representation
- Learning Hierarchical Sparse Filters for Feature Matching
- The student-t mixture as a natural image patch prior with application to image compression
- Face analysis based on reference samples
- One-Bit Compressed Sensing: Provable Support and Vector Recovery
- Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption
- Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification
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