On the Position of the Origin and Recognition Performance of Subspace Method
Language
Japanese
Type
Proceedings of Japanese Conferences
Authors
Masakazu Iwamura, Shinichiro Omachi, Hirotomo Aso
Title
On the Position of the Origin and Recognition Performance of Subspace Method
Journal
Proc. Subspace2006 in conjunction with MIRU2006
Pages
pp.42-51
Reviewed
Not reviewed
Date
July 2006
Research fields
Pattern recognition
Key
Iwamura2006_MIRU_Position (id=946)
Abstract
Subspace method is one of the most popular recognition methods in pattern recognition because of its
simplicity and some desirable properties. Many varieties of the subspace methods have been proposed. Though most
of them implicitly depend on the origin of feature vectors, the effect of the position of the origin to the recognition
performance have not analyzed enough. In this paper, we discuss and address this problem by introducing the
concepts of core affine subspace and misclassification hole. We also mention the similarity between the CLAFIC
method and the projection distance in a sense under an assumption.
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