Presentation 2010-09-05
Behavior of kernel mutual subspace method with respect to parameters
Seiji HOTTA, Tomokazu KAWAHARA, Osamu YAMAGUCHI, Hitoshi SAKANO,
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Abstract(in English) Optimizing parameters of kernel methods is an unsolved problem. We report the experimental evaluation and the consideration of parameters dependencies on kernel mutual subspace method (KMS). The following parameters of KMS are considered: Gaussian kernel parameters, dimensionalities of dictionary and input subspaces, and the number of canonical angles. We evaluate recognition accuracies of KMS through experiments on ETH-80 animals database. According to searching optimal parameters exhaustively, we obtain 100% recognition accuracy, and some experimental results suggests the relationships between the dimensionality of subspaces and the degrees of freedom for object motions. Such results imply that KMS achieves high recognition rate for object recognition with optimized parameters.
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Keyword(in English) kernel mutual subspace method / object recognition / subspace method / kernel method / statistical pattern recognition / machine leaning
Paper # PRMU2010-57,IBISML2010-29
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Committee PRMU
Conference Date 2010/8/29(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Behavior of kernel mutual subspace method with respect to parameters
Sub Title (in English)
Keyword(1) kernel mutual subspace method
Keyword(2) object recognition
Keyword(3) subspace method
Keyword(4) kernel method
Keyword(5) statistical pattern recognition
Keyword(6) machine leaning
1st Author's Name Seiji HOTTA
1st Author's Affiliation The Graduate School of Engineering, Tokyo University of Agriculture and Technology()
2nd Author's Name Tomokazu KAWAHARA
2nd Author's Affiliation Corporate R&D Center, Toshiba Corporation
3rd Author's Name Osamu YAMAGUCHI
3rd Author's Affiliation Power and Industrial System R&D Center, Toshiba Corporation Power Systems Company
4th Author's Name Hitoshi SAKANO
4th Author's Affiliation NTT Communication Science Lab.
Date 2010-09-05
Paper # PRMU2010-57,IBISML2010-29
Volume (vol) vol.110
Number (no) 187
Page pp.pp.-
#Pages 6
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