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ICASSP
2011
IEEE
13 years 21 days ago
Theoretical analyses on a class of nested RKHS's
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaak...
ECAI
2008
Springer
13 years 10 months ago
Modeling Collaborative Similarity with the Signed Resistance Distance Kernel
We extend the resistance distance kernel to the domain of signed dissimilarity values, and show how it can be applied to collaborative rating prediction. The resistance distance is...
Jérôme Kunegis, Stephan Schmidt, Sahi...
IJON
2007
166views more  IJON 2007»
13 years 9 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
11 years 11 months ago
Fast Random Walk Graph Kernel
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
U. Kang, Hanghang Tong, Jimeng Sun
AAAI
2012
11 years 11 months ago
Semi-Supervised Kernel Matching for Domain Adaptation
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
Min Xiao, Yuhong Guo