Canonical dependency analysis based on squared-loss mutual information

DOI10.1016/j.neunet.2012.06.009zbMath1258.68115OpenAlexW2134127584WikidataQ47342166 ScholiaQ47342166MaRDI QIDQ1942697

Masayuki Karasuyama, Masashi Sugiyama

Publication date: 13 March 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2433/159940

zbMATH Keywords

canonical correlation analysissquared-loss mutual informationdirect density-ratio estimation

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Canonical kernel dimension reduction, Estimation of mutual information by the fuzzy histogram, Machine learning with squared-loss mutual information

Uses Software

• SINBAD
• SURF
• PASCAL VOC

Cites Work

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• Modern Multivariate Statistical Techniques
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• Numerical Optimization
• Canonical Correlation Analysis: An Overview with Application to Learning Methods
• Algorithmic Learning Theory
• Elements of Information Theory
• RELATIONS BETWEEN TWO SETS OF VARIATES
• Theory of Reproducing Kernels
• On Information and Sufficiency
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