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Kernel and subspace methods for computer vision

✍ Scribed by Aleš Leonardis; Horst Bischof

Book ID
104161690
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
57 KB
Volume
36
Category
Article
ISSN
0031-3203

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In this paper, the authors propose a new object recognition algorithm called the kernel mutual subspace method. The mutual subspace method proposed by Maeda is a superior technique for implementing robust object recognition by performing a principal component analysis on multiple input images. Howev