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 110 of 49 papers

TitleStatusHype
SparseFormer: Sparse Visual Recognition via Limited Latent TokensCode1
A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG SurveillanceCode1
Sparse Representation-based Open Set RecognitionCode0
Linear Disentangled Representation Learning for Facial ActionsCode0
Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion RecognitionCode0
Multiplication fusion of sparse and collaborative-competitive representation for image classificationCode0
Associative TransformerCode0
Deep Sparse Representation-based ClassificationCode0
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning TechniquesCode0
A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample0
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