979 search results - page 81 / 196 » Support Vector Machine Classification with Indefinite Kernel... |
114
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
A new kernel function between two labeled graphs is presented. Feature vectors are defined as the counts of label paths produced by random walks on graphs. The kernel computation ...
126
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ICCV
2007
IEEE
16 years 6 months ago
2007
IEEE
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
144
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CORR
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
134
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ICNC
2005
Springer
15 years 9 months ago
2005
Springer
The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimizat...
135
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Recently, a very appealing approach was proposed to compute the entire solution path for support vector classification (SVC) with very low extra computational cost. This approach ...