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113
Voted
BMCBI
2008
15 years 4 months ago
2008
Background: Mixture models of mutagenetic trees are evolutionary models that capture several pathways of ordered accumulation of genetic events observed in different subsets of pa...
122
Voted
CSDA
2007
15 years 3 months ago
2007
Finite mixtures of parametric distributions are often used to model data of which it is known or suspected that there are subpopulations. Instead of a parametric model, a penalize...
145
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
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...
125
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ICIP
2007
IEEE
16 years 5 months ago
2007
IEEE
Gaussian mixture models have been widely used in image segmentation. However, such models are sensitive to outliers. In this paper, we consider a robust model for image segmentati...
125
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IJIT
2004
15 years 5 months ago
2004
A recent neuro-spiking coding scheme for feature extraction from biosonar echoes of various plants is examined with a variety of stochastic classifiers. Feature vectors derived are...