110 search results - page 12 / 22 » Optimal kernel selection in Kernel Fisher discriminant analy... |
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
DAGM
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
EOR
2007
13 years 7 months ago
2007
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Real-word applications often involve a binary hypothesis testing problem with one of the two hypotheses ill-defined and hard to be characterized precisely by a single measure. In ...