Journal of Visual Communication and Image Representation
Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
3D facial feature localization for registration
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
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A mixture of factor analyzer is a semiparametric density estimator that performs clustering and dimensionality reduction in each cluster (component) simultaneously. It performs nonlinear dimensionality reduction by modeling the density as a mixture of local linear models. The approach can be used for classification by modeling each class-conditional density using a mixture model and the complete data is then a mixture of mixtures. We propose an incremental mixture of factor analysis algorithm where the number of components (local models) in the mixture and the number of factors in each component (local dimensionality) are determined adaptively. Our results on different pattern classification tasks prove the utility of our approach and indicate that our algorithms find a good trade-off between model complexity and accuracy.