Matrix-Variate Probabilistic Model for Canonical Correlation Analysis

Bibliographic Details
Main Authors: Mohammad Taghi Manzuri Shalmani, Mehran Safayani
Format: Article
Language:English
Published: SpringerOpen 2011-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2011/748430
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spelling doaj-cbb0ab00c50b43daadbd6d10760b5e7b2020-11-24T21:06:34ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802011-01-01201110.1155/2011/748430Matrix-Variate Probabilistic Model for Canonical Correlation AnalysisMohammad Taghi Manzuri ShalmaniMehran Safayanihttp://dx.doi.org/10.1155/2011/748430
collection DOAJ
language English
format Article
sources DOAJ
author Mohammad Taghi Manzuri Shalmani
Mehran Safayani
spellingShingle Mohammad Taghi Manzuri Shalmani
Mehran Safayani
Matrix-Variate Probabilistic Model for Canonical Correlation Analysis
EURASIP Journal on Advances in Signal Processing
author_facet Mohammad Taghi Manzuri Shalmani
Mehran Safayani
author_sort Mohammad Taghi Manzuri Shalmani
title Matrix-Variate Probabilistic Model for Canonical Correlation Analysis
title_short Matrix-Variate Probabilistic Model for Canonical Correlation Analysis
title_full Matrix-Variate Probabilistic Model for Canonical Correlation Analysis
title_fullStr Matrix-Variate Probabilistic Model for Canonical Correlation Analysis
title_full_unstemmed Matrix-Variate Probabilistic Model for Canonical Correlation Analysis
title_sort matrix-variate probabilistic model for canonical correlation analysis
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2011-01-01
url http://dx.doi.org/10.1155/2011/748430
work_keys_str_mv AT mohammadtaghimanzurishalmani matrixvariateprobabilisticmodelforcanonicalcorrelationanalysis
AT mehransafayani matrixvariateprobabilisticmodelforcanonicalcorrelationanalysis
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