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» SVM Classifier Estimation from Group Probabilities
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ICPR
2006
IEEE
14 years 9 months ago
Combining Dichotomizers for MAP Field Classification
A new method for combining dichotomizers like SVMs is proposed for classifying multi-class pattern fields. The novelty lies in the estimation of the styleconstrained posterior fie...
George Nagy, Srinivas Andra
ICML
2008
IEEE
14 years 8 months ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
WACV
2005
IEEE
14 years 1 months ago
Gait Verification Using Probabilistic Methods
In this paper we describe a novel method for gait based identity verification based on Bayesian classification. The verification task is reduced to a two class problem (Client or ...
Alex I. Bazin, Mark S. Nixon
ICCV
2003
IEEE
14 years 1 months ago
Computing MAP trajectories by representing, propagating and combining PDFs over groups
This paper addresses the problem of computing the trajectory of a camera from sparse positional measurements that have been obtained from visual localisation, and dense differenti...
Paul Smith, Tom Drummond, Kimon Roussopoulos
ICMCS
2005
IEEE
108views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Robust learning-based TV commercial detection
A robust learning-based TV commercial detection approach is proposed in this paper. Firstly a set of basic features that facilitate distinguishing commercials from general program...
Xian-Sheng Hua, Lie Lu, Hong-Jiang Zhang