148 search results - page 19 / 30 » Feature space perspectives for learning the kernel |
DIS
2007
Springer
14 years 2 months ago
2007
Springer
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a reprodu...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
ICMCS
2006
IEEE
14 years 2 months ago
2006
IEEE
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
IJHPCA
2007
13 years 7 months ago
2007
We describe the rationale behind the design of key features of Titanium—an explicitly parallel dialect of JavaTM for high-performance scientific programming—and our experienc...