grseb9s / ssc-using-admm Goto Github PK

{\rtf1\ansi\ansicpg1252\cocoartf1138\cocoasubrtf510
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\margl1440\margr1440\vieww17620\viewh12960\viewkind0
\deftab720
\pard\pardeftab720

\f0\fs26 \cf0 ---------------------------------------------------------------------------------------------------------------------\
Copyright @ Ehsan Elhamifar, 2012\
\
---------------------------------------------------------------------------------------------------------------------\
To run the Sparse Subspace Clustering (SSC) algorithm\
\
for motion segmentation on the Hopkins 155 dataset, see the following m-file: run_SSC_MS.m. \
for face clustering on the Extended Yale B dataset, see the following m-file: run_SSC_Faces.m. \
\
---------------------------------------------------------------------------------------------------------------------\
Terms of use: \
The code is provided for research purposes only and without any warranty. Any commercial use is prohibited. \
\
When using the code in your research work, you should cite the following paper:\
\
Sparse Subspace Clustering: Algorithm, Theory, and Applications\
E. Elhamifar and R. Vidal, \
Submitted to IEEE Trans. on  PAMI, 2011.\
Available: {\field{\*\fldinst{HYPERLINK "http://arxiv.org/abs/1203.1005"}}{\fldrslt http://arxiv.org/abs/1203.1005}}\
\
---------------------------------------------------------------------------------------------------------------------\
Please contact Ehsan Elhamifar (ehsan [At] cis [Dot] jhu [Dot] edu) for questions about the code.}