| Presentation | 2011-09-06 Canonical Dependency Analysis based on Squared-loss Mutual Information Masayuki KARASUYAMA, Masashi SUGIYAMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Canonical correlation analysis (CCA) is a classical technique to iteratively find projection directions for two sets of variables such that their correlation is maximized. In this paper, we propose an extension of CCA based on a squared-loss variant of mutual information. The proposed method, which we call least-squares canonical dependency analysis (LSCDA), has various useful properties, for example, it can capture higher-order correlations, it can simultaneously find multiple projection directions (i.e., subspaces), it does not involve density estimation, and it is equipped with a model selection strategy. We illustrate the usefulness of LSCDA through experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Canonical Correlation Analysis / Squared-loss Mutual Information / Direct Density-ratio Estimation |
| Paper # | PRMU2011-79,IBISML2011-38 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2011/8/29(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Canonical Dependency Analysis based on Squared-loss Mutual Information |
| Sub Title (in English) | |
| Keyword(1) | Canonical Correlation Analysis |
| Keyword(2) | Squared-loss Mutual Information |
| Keyword(3) | Direct Density-ratio Estimation |
| 1st Author's Name | Masayuki KARASUYAMA |
| 1st Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology() |
| 2nd Author's Name | Masashi SUGIYAMA |
| 2nd Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology |
| Date | 2011-09-06 |
| Paper # | PRMU2011-79,IBISML2011-38 |
| Volume (vol) | vol.111 |
| Number (no) | 193 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |