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ICPR
2008
IEEE

Cone-restricted subspace methods

15 years 26 days ago
Cone-restricted subspace methods
In pattern recognition, feature vectors are occasionally subject to non-negative constraints. This characteristic can be expressed by a cone in feature vector space. In this paper, we propose cone-restricted subspace methods. The proposed methods admit the scaling and additivity of vectors as well as ordinary subspace methods; in addition, vectors can be strictly classified at the boundary of the cone. Some experimental results for face and person detection demonstrate the effectiveness of the proposed methods.
Takumi Kobayashi, Nobuyuki Otsu
Added 05 Nov 2009
Updated 06 Nov 2009
Type Conference
Year 2008
Where ICPR
Authors Takumi Kobayashi, Nobuyuki Otsu
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