Sciweavers

28 search results - page 1 / 6
» Object classification by fusing SVMs and Gaussian mixtures
Sort
View
PR
2010
110views more  PR 2010»
12 years 11 months ago
Object classification by fusing SVMs and Gaussian mixtures
Thomas Deselaers, Georg Heigold, Hermann Ney
ICPR
2008
IEEE
14 years 5 months ago
SVMs, Gaussian mixtures, and their generative/discriminative fusion
We present a new technique that employs support vector machines and Gaussian mixture densities to create a generative/discriminative joint classifier. In the past, several approac...
Georg Heigold, Hermann Ney, Thomas Deselaers
ESANN
2006
13 years 6 months ago
Degeneracy in model selection for SVMs with radial Gaussian kernel
We consider the model selection problem for support vector machines applied to binary classification. As the data generating process is unknown, we have to rely on heuristics as mo...
Tobias Glasmachers
ICPR
2006
IEEE
14 years 5 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
INTERSPEECH
2010
12 years 11 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang