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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 11–20 of 49 papers

TitleStatusHype
Collaborative Representation for Classification, Sparse or Non-sparse?—0
Collaborative representation-based robust face recognition by discriminative low-rank representation—0
A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample—0
Continuous and Simultaneous Gesture and Posture Recognition for Commanding a Robotic Wheelchair; Towards Spotting the Signal Patterns—0
Adaptive Class Preserving Representation for Image Classification—0
Collaborative Representation based Classification for Face Recognition—0
HSR: L1/2 Regularized Sparse Representation for Fast Face Recognition using Hierarchical Feature Selection—0
An Integrated Inverse Space Sparse Representation Framework for Tumor Classification—0
Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification—0
Discriminant Projection Representation-based Classification for Vision Recognition—0
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