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ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Kernel nonnegative matrix factorization (KNMF) is a recent kernel extension of NMF, where matrix factorization is carried out in a reproducing kernel Hilbert space (RKHS) with a f...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
NIPS
2004
13 years 8 months ago
2004
This paper provides a foundation for multi
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
IJON
2002
13 years 6 months ago
2002
Kernel methods have become an increasingly popular tool for machine learning tasks such as classi