-
LGME
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
)
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)
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最为经典的PID理论资料_先进PID控制及其MATLAB仿真(刘金锟)书籍(The most classic PID PID control theory and its advanced information _ MATLAB simulation (Liu Kun) Books)
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bidirectional converter with the fuel cell
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基于matlab/simulink的SVPWM仿真建模(Based on matlab/simulink for SVPWM simulation modeling)
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