文件列表:

fast_sc (0, 2007-06-27)
fast_sc\code (0, 2007-06-27)
fast_sc\code\demo_fast_sc.m (740, 2007-06-27)
fast_sc\code\display_figures.m (866, 2007-06-27)
fast_sc\code\display_network_nonsquare2.m (920, 2007-06-27)
fast_sc\code\getdata_imagearray.m (991, 2007-06-27)
fast_sc\code\l1ls_featuresign.m (7079, 2007-06-27)
fast_sc\code\l2ls_learn_basis_dual.m (2282, 2007-06-27)
fast_sc\code\save_figures.m (661, 2007-06-27)
fast_sc\code\sparse_coding.m (7263, 2007-06-27)
fast_sc\code\sc2 (0, 2007-06-27)
fast_sc\code\sc2\cgf_fitS_sc2.m (3750, 2007-06-23)
fast_sc\code\sc2\cgf_sc.c (9897, 2007-06-23)
fast_sc\code\sc2\cgf_sc2.dll (28672, 2007-06-23)
fast_sc\code\sc2\cgf_sc2.mexa64 (26507, 2007-06-23)
fast_sc\code\sc2\cgf_sc2.mexglx (20889, 2007-06-23)
fast_sc\code\sc2\getObjective2.m (1208, 2007-06-23)
fast_sc\code\sc2\makefile.linux (134, 2007-06-27)
fast_sc\code\sc2\makefile.win32 (176, 2007-06-27)
fast_sc\code\sc2\nrf (0, 2007-06-27)
fast_sc\code\sc2\nrf\brent.c (1462, 2007-06-23)
fast_sc\code\sc2\nrf\frprmn.c (1137, 2007-06-23)
fast_sc\code\sc2\nrf\getreent.c (163, 2007-06-23)
fast_sc\code\sc2\nrf\impure.c (383, 2007-06-23)
fast_sc\code\sc2\nrf\linmin.c (415, 2007-06-23)
fast_sc\code\sc2\nrf\makefile.linux (227, 2007-06-23)
fast_sc\code\sc2\nrf\makefile.win32 (217, 2007-06-23)
fast_sc\code\sc2\nrf\mnbrak.c (1277, 2007-06-23)
fast_sc\code\sc2\nrf\nrutil.c (8587, 2007-06-23)
fast_sc\code\sc2\nrf\nrutil.h (3330, 2007-06-23)
fast_sc\data (0, 2007-06-27)
fast_sc\results (0, 2007-06-27)

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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