PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Max-Margin Learning of Gaussian Mixtures with Sequential Minimal Optimization
Trinh Minh Tri Do and thierry artières
In: ICFHR 2008, 19-21 Aug 2008, Montreal.


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.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:5063
Deposited By:Thierry Artieres
Deposited On:24 March 2009