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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 21–30 of 49 papers

TitleStatusHype
Continuous and Simultaneous Gesture and Posture Recognition for Commanding a Robotic Wheelchair; Towards Spotting the Signal Patterns—0
Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery—0
Discriminant Projection Representation-based Classification for Vision Recognition—0
Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification—0
HSR: L1/2 Regularized Sparse Representation for Fast Face Recognition using Hierarchical Feature Selection—0
Improving Sparse Representation-Based Classification Using Local Principal Component Analysis—0
In Defense of Sparsity Based Face Recognition—0
Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition—0
Joint Representation Classification for Collective Face Recognition—0
Latent Dictionary Learning for Sparse Representation based Classification—0
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