19 search results - page 2 / 4 » Non-sparse Multiple Kernel Learning for Fisher Discriminant ... |
PAA
2010
14 years 7 months ago
2010
By applying recent results in optimization theory variously known as optimization transfer or majorize/minimize algorithms, an algorithm for binary, kernel, Fisher discriminant ana...
ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
PKDD
2010
Springer
14 years 7 months ago
2010
Springer
There are many situations in which we have more than one view of a single data source, or in which we have multiple sources of data that are aligned. We would like to be able to bu...
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PR
2007
14 years 9 months ago
2007
The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...