fast_sc
所属分类:matlab编程
开发工具:matlab
文件大小:1067KB
下载次数:4
上传日期:2017-07-11 10:41:17
上 传 者:
Drming
说明: 一个非常有效的稀疏编码的matlab代码,并附有作者的论文,希望可以帮助需要的人。
(An efficient sparse coding algorithm and its original paper. We aim to help authors make their ideas spread.)
文件列表:
Efficient sparse coding algorithms.pdf (1107016, 2017-07-11)
fast_sc (0, 2017-07-11)
fast_sc\code (0, 2017-07-11)
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\sc2 (0, 2017-07-11)
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, 2017-07-11)
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\code\sparse_coding.m (7263, 2007-06-27)
These are the numerical recipies routines for conjugate gradient
descent. They have been modified to make the 1d line minimizations
efficient.
frprmn.c: main routine for executing conj. grad.
linmin.c: line minimization algorithm
mnbrak.c: routine for bracketing the minimum
brent.c: finds minimum via Brent's method
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