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» A Support Vector Clustering Method
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ICASSP
2008
IEEE
15 years 10 months ago
Learning the kernel via convex optimization
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
Seung-Jean Kim, Argyrios Zymnis, Alessandro Magnan...
ICMCS
2006
IEEE
162views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Automatic Addressee Identification Based on Participants' Head Orientation and Utterances for Multiparty Conversations
We propose a method that uses the participants’ head orientation and utterances for automatically identifying the addressee of each utterance in face-to-face multiparty conversa...
Yoshinao Takemae, Shinji Ozawa
IJCNN
2006
IEEE
15 years 10 months ago
Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
Gavin C. Cawley
ICDM
2005
IEEE
179views Data Mining» more  ICDM 2005»
15 years 9 months ago
Bagging with Adaptive Costs
Ensemble methods have proved to be highly effective in improving the performance of base learners under most circumstances. In this paper, we propose a new algorithm that combine...
Yi Zhang, W. Nick Street
IBPRIA
2005
Springer
15 years 9 months ago
An Approach to Vision-Based Person Detection in Robotic Applications
We present an approach to vision-based person detection in robotic applications that integrates top down template matching with bottom up classifiers. We detect components of the ...
Carlos D. Castillo, Carolina Chang