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Sparsity-Promoting Bayesian Dynamic Linear Models
Sparsity-promoting priors have become increasingly popular over recent years due to an increased number of regression and classification applications involving a large... -
Model-based Cluster and Discriminant Analysis with the MIXMOD software
The mixmod (mixture modelling) software fits mixture models to a given data set with a density estimation, a clustering or a discriminant analysis purpose. A large... -
Speaker recognition using discriminative learning of Large Margin GMM
Most of state-of-the-art speaker recognition systems are based on Gaussian Mixture Models (GMM), trained using maximum likelihood estimation and maximum a posteriori... -
Daily sound recognition using a combination of GMM and SVM for home automation
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