Improving sparsity of Convolutional Sparse Representation using a combination of a few dictionary filters

Yudai Gondo; Hiroto Take; Yoshimitsu Kuroki

doi:10.1109/ispacs62486.2024.10868219

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Improving sparsity of Convolutional Sparse Representation using a combination of a few dictionary filters

Yudai Gondo Hiroto Take Yoshimitsu Kuroki

Year: 2024 Pages: 1-3

DOI: 10.1109/ispacs62486.2024.10868219

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Keywords:

Computer science Sparse approximation Representation (politics) Artificial intelligence Dictionary learning Pattern recognition (psychology) K-SVD Convolutional code Algorithm Decoding methods

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Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Improving sparsity of Convolutional Sparse Representation using a combination of a few dictionary filters

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