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TFS
2010
116views Education» more  TFS 2010»
14 years 6 months ago
Applying the Possibilistic c-Means Algorithm in Kernel-Induced Spaces
Maurizio Filippone, Francesco Masulli, Stefano Rov...
ICIP
2008
IEEE
16 years 1 months ago
Normalization and preimage problem in gaussian kernel PCA
Kernel PCA has received a lot of attention over the past years and showed usefull for many image processing problems. In this paper we analyse the issue of normalization in Kernel...
Florent Ségonne, Nicolas Thorstensen, Renau...
PAMI
2008
144views more  PAMI 2008»
14 years 11 months ago
Twin Kernel Embedding
Visualization of non-vectorial objects is not easy in practice due to their lack of convenient vectorial representation. Representative approaches are Kernel PCA and Kernel Laplac...
Yi Guo, Junbin Gao, Paul W. Kwan
ICML
2006
IEEE
16 years 20 days ago
Learning a kernel function for classification with small training samples
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
ALT
2003
Springer
15 years 8 months ago
Kernel Trick Embedded Gaussian Mixture Model
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 ...
Jingdong Wang, Jianguo Lee, Changshui Zhang