PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Max-Margin Learning of Gaussian Mixtures with Sequential Minimal Optimization
Trinh Minh Tri Do and Thierry Artieres
In: ICFHR 2008, 19-21 August 2008, Canada.

Abstract

This works deals with discriminant training of Gaussian Mixture Models through margin maximization. We go one step further previous work, we propose a new formulation of the learning problem that allows the use of efficient optimization algorithm popularized for Support Vector Machines, yielding improved convergence properties and recognition accuracy on handwritten digits recognition.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:5109
Deposited By:Trinh Minh Tri Do
Deposited On:24 March 2009