subspace_J21.zip - Input: X, training data, dim*num
Y, training data labels, num*class
para.alpha, para.beta, regularization parameters
para.rd, reduced dimensionality
Web Image Annotation via Subspace-Sparsity Collaborated Feature Selection.
Zhigang Ma, Feiping Nie, Yi Yang, Jasper Uijlings, and Nicu Sebe.
IEEE Transactions on Multimedia (TMM) 14(4):1021-1030, 2012.
,2013-05-15 20:06:52,下载10次
LGME.zip - 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
,2013-05-15 19:51:56,下载21次