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» Duality and Geometry in SVM Classifiers
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ICML
2000
IEEE
14 years 5 months ago
Duality and Geometry in SVM Classifiers
We develop an intuitive geometric interpretation of the standard support vector machine (SVM) for classification of both linearly separable and inseparable data and provide a rigo...
Kristin P. Bennett, Erin J. Bredensteiner
ICML
2004
IEEE
14 years 5 months ago
Multiple kernel learning, conic duality, and the SMO algorithm
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. ...
Francis R. Bach, Gert R. G. Lanckriet, Michael I. ...
ICRA
1998
IEEE
86views Robotics» more  ICRA 1998»
13 years 8 months ago
Kinematic Manipulability of General Constrained Rigid Multibody Systems
This paper extends the kinematic manipulability concept commonly used for serial manipulators to general constrained rigid multibody systems. Examples of such systems include multi...
John T. Wen, Lee S. Wilfinger
ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Emotion Recognition from Noisy Speech
This paper presents an emotion recognition system from clean and noisy speech. Geodesic distance was adopted to preserve the intrinsic geometry of emotional speech. Based on the g...
Mingyu You, Chun Chen, Jiajun Bu, Jia Liu, Jianhua...