Kernel Canonical Correlation Analysis is a kernel-based multivariate statistical method that extends linear canonical correlation analysis by capturing nonlinear relationships between two sets of variables through the use of reproducing kernel Hilbert spaces.
152
Publications
14.1K
Citations
440
Authors
229
Institutions
Publications per year
2017–2026
43
Parents
Publications
152
Deep Canonical Correlation Analysis
Galen Andrew, Raman Arora, Jeff Bilmes et al. · 2013 · 1.3K citations
A kernel method for canonical correlation analysis
Shotaro Akaho · ArXiv.org · 2006 · 464 citations · Full text
Kernel Methods for Measuring Independence
Arthur Gretton, Ralf Herbrich, Alexander J. Smola et al. · ANU Open Research (Australian National University) · 2005 · 344 citations · Full text
1–5 of 152
Authors
440
- JS
9
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- DR
7
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- AG
6
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- KF
6
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- MA
5
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1–5 of 440
Institutions
229
Max Planck Institute for Biological Cybernetics
Tübingen, Germany
9 h-index
19 publications
2.2K citations
Chinese Academy of Sciences
Beijing, China
6 h-index
9 publications
658 citations
Max Planck Society
Munich, Germany
6 h-index
12 publications
1.4K citations
University College London
London, United Kingdom
5 h-index
22 publications
1.3K citations
Tulane University
New Orleans, United States
4 h-index
9 publications
131 citations
Tokyo Institute of Technology
Tokyo, Japan
4 h-index
8 publications
237 citations
Toronto Metropolitan University
Toronto, Canada
4 h-index
7 publications
664 citations
University of Southern California
Los Angeles, United States
4 h-index
6 publications
177 citations
1–8 of 229
Venues
- arXiv (Cornell University)
Repository · 6 publications · 149 citations
6
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- IEEE Transactions on Signal Processing
4 publications · 173 citations
4
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- Neurocomputing
3 publications · 54 citations
3
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- Machine Learning
3 publications · 249 citations
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- Computer Animation and Virtual Worlds
2 publications · 40 citations
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1–5