322 search results - page 47 / 65 » Marketing segmentation using support vector clustering |
ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...
126
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KDD
2007
ACM
16 years 4 days ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
119
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FSKD
2008
Springer
15 years 24 days ago
2008
Springer
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
102
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JMLR
2010
14 years 10 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
ISMIR
2005
Springer
15 years 5 months ago
2005
Springer
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...