一个在线的sparse coding学习算法,最近很多应用类的文章都用这个算法。
The SPArse Modelling Software (SPAMS) can be downloaded here. It includes fast implementations of LARS, OMP, a dictionary learning algorithm and its variants for NMF, sparse PCA, as well as efficient sparse solvers based on proximal methods.
June, 2011: SPAMS is now released under an open-source licence. This should be a good news for MAC, Windows, R, Python, C++ users. The package contains scripts for compiling the library under Linux. If you manage to make a script for compiling it under Mac OS and Windows, I would be glad to include it in the release.
The denoising code of my ICCV'09 paper can be found here.The package contains binary files for Linux 64bits computers, and an instruction file. Academic use only.
The demosaicking code of my ICCV'09 paper can be found here.The package contains binary files for Linux 64bits computers, and an instruction file. Academic use only.
The KSVD source code of my IEEE-TIP and SIAM-MMS papers from 2008 can be found here. This package is not maintained anymore and I will not respond to any question about the source code. If you need Linux binaries to do experiments, please contact me.
SPAMS是一个开源软件包,提供了一系列高效实现的算法,包括LARS、OMP、字典学习算法及其变种等。适用于NMF、稀疏PCA等多种应用场景,并支持通过多种编程语言调用。
1482

被折叠的 条评论
为什么被折叠?



