文件名称:LGME
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- 上传时间:2013-05-15
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文件大小:1.37kb
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input:
param: parameters of the LMGE algorithm
param.mu, param.alpha, param.beta are regularization parameters.
param.p: dimension of shared subspace
param.k: number of nearest neighbors for Laplacian matrix
X: input data
Y: groundtruth labels
output:
model.W: matrix W
Reference:
Web and Personal Image Annotation by Mining Label Correlation with
Relaxed Visual Graph Embedding
Yi Yang, Fei Wu, Feiping Nie, Heng Tao Shen, Yueting Zhuang and Alex Hauptmann.
contact: yyang@cs.cmu.edu
-Web and Personal Image Annotation by Mining Label Correlation with
Relaxed Visual Graph Embedding
param: parameters of the LMGE algorithm
param.mu, param.alpha, param.beta are regularization parameters.
param.p: dimension of shared subspace
param.k: number of nearest neighbors for Laplacian matrix
X: input data
Y: groundtruth labels
output:
model.W: matrix W
Reference:
Web and Personal Image Annotation by Mining Label Correlation with
Relaxed Visual Graph Embedding
Yi Yang, Fei Wu, Feiping Nie, Heng Tao Shen, Yueting Zhuang and Alex Hauptmann.
contact: yyang@cs.cmu.edu
-Web and Personal Image Annotation by Mining Label Correlation with
Relaxed Visual Graph Embedding
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LGME.m
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