Appearance models based on kernel canoni
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Thomas Melzer; Michael Reiter; Horst Bischof
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Article
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2003
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Elsevier Science
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English
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This paper introduces a new approach to constructing appearance models based on kernel canonical correlation analysis (kernel-CCA). Kernel-CCA is a non-linear extension of CCA, where a non-linear transformation of the input data is performed implicitly using kernel methods. Although, in this respect