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» A Support Vector Clustering Method
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117
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ICDM
2007
IEEE
109views Data Mining» more  ICDM 2007»
15 years 9 months ago
A Support Vector Approach to Censored Targets
Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector tec...
Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansch...
ICIP
2005
IEEE
15 years 9 months ago
Improving particle filter with support vector regression for efficient visual tracking
—Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density...
Guangyu Zhu, Dawei Liang, Yang Liu, Qingming Huang...
131
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DMIN
2009
132views Data Mining» more  DMIN 2009»
15 years 1 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
ICMI
2003
Springer
184views Biometrics» more  ICMI 2003»
15 years 8 months ago
Real time facial expression recognition in video using support vector machines
Enabling computer systems to recognize facial expressions and infer emotions from them in real time presents a challenging research topic. In this paper, we present a real time ap...
Philipp Michel, Rana El Kaliouby
153
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CORR
2008
Springer
142views Education» more  CORR 2008»
15 years 3 months ago
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Danny Bickson, Elad Yom-Tov, Danny Dolev