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AAAI 16 work
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FOptM
2view.mat
EuDist2.m
README.md
RMSL.m
constructW.m
cvEucdist.m
cvKnn.m
main_2v.m
objHereInner.m
optimizingP.m

README.md

min ||Zi||*+||Zp||*+\lambda||E||_1+\alpha G(Li,Lp,Zi,Zp), s.t., P'X = P'XZi+P'XZp+E.

for more detail, please check our AAAI-16 paper

@inproceedings{ding2016robust,

title={Robust Multi-view Subspace Learning through Dual Low-rank Decompositions},

author={Ding, Zhengming and Fu, Yun},

booktitle={The Thirtieth AAAI Conference on Artificial Intelligence },

year={2016}

}

main_2v.m is the main function

RMSL.m is our key function for dual low-rank decompostion, which has two solutions.

constructW.m is used to construct the weight of graph

cvKnn.m and cvEudist.m is the kNN classifier.

2view.mat is the evaluation data.

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