Presentation	2002/10/10 Speed-up of Kernel Based Nonlinear Subspace Method by Sparsification of Basis Vectors Kohei INOUE, Kiichi URAHAMA,
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Abstract(in English)	A speed-up method is presented for the kernel based nonlinear subspace method by Maeda et al. and Tsuda on the basis of sparsification of basis vectors of each subspace. Computational cost of projection of data onto subspaces is reduced by using sparse basis vectors. The presented method is applied to face detection from images. A method is also presented for revising sparse basis vectors on the basis of a power method for eigenvalue problems.
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Keyword(in English)	sparse / kernel / subspace method / face detection
Paper #	NC2002-45
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Conference Information
Committee	NC
Conference Date	2002/10/10(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Speed-up of Kernel Based Nonlinear Subspace Method by Sparsification of Basis Vectors
Sub Title (in English)
Keyword(1)	sparse
Keyword(2)	kernel
Keyword(3)	subspace method
Keyword(4)	face detection
1st Author's Name	Kohei INOUE
1st Author's Affiliation	Faculty of Visual Communication Design, Kyushu Institute of Design()
2nd Author's Name	Kiichi URAHAMA
2nd Author's Affiliation	Faculty of Visual Communication Design, Kyushu Institute of Design
Date	2002/10/10
Paper #	NC2002-45
Volume (vol)	vol.102
Number (no)	381
Page	pp.pp.-
#Pages	6
Date of Issue