Nonlinear Component Analysis as a Kernel Eigenvalue Problem
نویسندگان
چکیده
منابع مشابه
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
A new method for performing a nonlinear form of principal component analysis is proposed. By the use of integral operator kernel functions, one can efficiently compute principal components in high-dimensional feature spaces, related to input space by some nonlinear map—for instance, the space of all possible five-pixel products in 16×16 images. We give the derivation of the method and present e...
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My lectures at the Minicorsi di Analisi Matematica at Padova in June 2000 are written up in these notes1. They are an updated and extended version of my lectures [37] at Jyväskylä in October 1994. In particular, an account of the exciting recent development of the asymptotic case is included, which is called the ∞-eigenvalue problem. I wish to thank the University of Padova for financial suppor...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 1998
ISSN: 0899-7667,1530-888X
DOI: 10.1162/089976698300017467