6 search results - page 1 / 2 » Massive-Scale Kernel Discriminant Analysis: Mining for Quasa... |
SDM
2008
SIAM
13 years 8 months ago
2008
SIAM
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
ICDM
2003
IEEE
14 years 4 days 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...
ICDM
2009
IEEE
14 years 1 months ago
2009
IEEE
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
PKDD
2010
Springer
13 years 5 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...