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fast_sc

于 2022-07-15 发布 文件大小:42.31 kB
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代码说明:

A short instruction to run the code 1. download IMAGES.mat from http://redwood.berkeley.edu/bruno/sparsenet/ 2. copy IMAGES.mat to ./data directory 3. move to ./code  4. run matlab and execute:         "demo_fast_sc(1)": epsilon-L1 sparsity penalty         "demo_fast_sc(2)": L1 sparsity penalty Note: You can apply sparse coding to any type of general data. See sparse_coding.m for details.

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