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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 26–49 of 49 papers

TitleStatusHype
Linear Disentangled Representation Learning for Facial ActionsCode0
Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples—0
Sparse Representation-Based Classification: Orthogonal Least Squares or Orthogonal Matching Pursuit?—0
Improving Sparse Representation-Based Classification Using Local Principal Component Analysis—0
Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices—0
Continuous and Simultaneous Gesture and Posture Recognition for Commanding a Robotic Wheelchair; Towards Spotting the Signal Patterns—0
Subspace-Sparse Representation—0
Sparse Representation Classification With Manifold Constraints Transfer—0
Joint Representation Classification for Collective Face Recognition—0
Study on Sparse Representation based Classification for Biometric Verification—0
Structured Occlusion Coding for Robust Face Recognition—0
Optimized Projection for Sparse Representation Based Classification—0
Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion RecognitionCode0
HSR: L1/2 Regularized Sparse Representation for Fast Face Recognition using Hierarchical Feature Selection—0
Active Dictionary Learning in Sparse Representation Based Classification—0
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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