1403 search results - page 2 / 281 » Sampling Techniques for Kernel Methods |
68
Voted
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
In this paper, we propose new sampling schemes for classes of 2-D signals with finite rate of innovation (FRI). In particular, we consider sets of 2-D Diracs and bilevel polygons....
76
Voted
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
We present here an approach for applying the technique of modeling data transformation manifolds for invariant learning with kernel methods. The approach is based on building a ke...
ALT
2003
Springer
15 years 6 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
IJON
2002
14 years 9 months ago
2002
Kernel methods have become an increasingly popular tool for machine learning tasks such as classi
DATE
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract— We present a general method to evaluate RF BuiltIn Self-Test (BIST) techniques during the design stage. In particular, the adaptive kernel estimator is used to construc...