Classification-Friendly Sparse Encoder and Classifier Learning

Classification-Friendly Sparse Encoder and Classifier Learning

Sparse representation (SR) and dictionary learning (DL) have been extensively used for feature encoding, aiming to extract the latent classification-friendly feature of observed data. Existing methods use sparsity penalty and learned dictionary to enhance discriminative capability of sparse codes. H...

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Bibliographic Details
Main Authors: Chunyu Yang, Weiwei Wang, Xiangchu Feng, Shuisheng Zhou
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Sparse representation
discriminative sparse encoder
pattern classification
Online Access:https://ieeexplore.ieee.org/document/9040573/
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https://ieeexplore.ieee.org/document/9040573/

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