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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