SOTAVerified

Sparse Representation-based Classification

Sparse Representation-based Classification is the task based on the description of the data as a linear combination of few building blocks - atoms - taken from a pre-defined dictionary of such fundamental elements.

Papers

Showing 4149 of 49 papers

TitleStatusHype
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment0
Sparse Recovery via Bootstrapping: Collaborative or Independent?0
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning TechniquesCode0
Sparse Representation-based Open Set RecognitionCode0
Associative TransformerCode0
Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion RecognitionCode0
Multiplication fusion of sparse and collaborative-competitive representation for image classificationCode0
Deep Sparse Representation-based ClassificationCode0
Linear Disentangled Representation Learning for Facial ActionsCode0
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