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.

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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