133 search results - page 4 / 27 » Margin and Radius Based Multiple Kernel Learning |
GBRPR
2007
Springer
13 years 11 months ago
2007
Springer
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
BICOB
2010
Springer
13 years 5 months ago
2010
Springer
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
NIPS
2003
13 years 9 months ago
2003
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
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Voted
CVPR
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
We propose a new maximum margin discriminative learning algorithm here for classification of temporal signals. It is superior to conventional HMM in the sense that it does not nee...