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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

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Showing 41–49 of 49 papers

TitleStatusHype
Latent Dictionary Learning for Sparse Representation based Classification—0
Robust Face Recognition via Adaptive Sparse Representation—0
Collaborative Representation for Classification, Sparse or Non-sparse?—0
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment—0
In Defense of Sparsity Based Face Recognition—0
Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification—0
Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer—0
Collaborative Representation based Classification for Face Recognition—0
Regularized Robust Coding for Face Recognition—0
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