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94
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ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
IJCNN
2006
IEEE
15 years 6 months ago
Learning the Kernel in Mahalanobis One-Class Support Vector Machines
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
Ivor W. Tsang, James T. Kwok, Shutao Li
65
Voted
IJCNN
2006
IEEE
15 years 6 months ago
Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification
Boyang Li, Jinglu Hu, Kotaro Hirasawa, Pu Sun, Mar...
44
Voted
IROS
2006
IEEE
71views Robotics» more  IROS 2006»
15 years 6 months ago
Vibration-based Terrain Classification Using Support Vector Machines
Christian Weiss, Holger Fröhlich, Andreas Zel...
MMM
2005
Springer
202views Multimedia» more  MMM 2005»
15 years 6 months ago
Image Mining and Retrieval Using Hierarchical Support Vector Machines
For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been la...
Ross Brown, Binh Pham