Matrix-Variate Probabilistic Model for Canonical Correlation Analysis
نویسندگان
چکیده
منابع مشابه
Matrix-Variate Probabilistic Model for Canonical Correlation Analysis
Motivated by the fact that in computer vision data samples are matrices, in this paper, we propose a matrix-variate probabilistic model for canonical correlation analysis (CCA). Unlike probabilistic CCA which converts the image samples into the vectors, our method uses the original image matrices for data representation. We show that the maximum likelihood parameter estimation of the model lead...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2011
ISSN: 1687-6180
DOI: 10.1155/2011/748430