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» Hierarchical Gaussian Mixture Model
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CSDA
2006
64views more  CSDA 2006»
13 years 7 months ago
Segmenting magnetic resonance images via hierarchical mixture modelling
Carey E. Priebe, Michael I. Miller, J. Tilak Ratna...
IDEAL
2003
Springer
14 years 24 days ago
PCA Fuzzy Mixture Model for Speaker Identification
In this paper, we proposed the principal component analysis (PCA) fuzzy mixture model for speaker identification. A PCA fuzzy mixture model is derived from the combination of the P...
Younjeong Lee, Joohun Lee, Ki Yong Lee
DAGM
2009
Springer
14 years 2 months ago
Localised Mixture Models in Region-Based Tracking
An important problem in many computer vision tasks is the separation of an object from its background. One common strategy is to estimate appearance models of the object and backgr...
Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, J...
TNN
2008
128views more  TNN 2008»
13 years 7 months ago
A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach
Blind inversion of a linear and instantaneous mixture of source signals is a problem often encountered in many signal processing applications. Efficient FastICA (EFICA) offers an ...
Petr Tichavský, Zbynek Koldovský, Ar...
ESANN
2007
13 years 9 months ago
Mixtures of robust probabilistic principal component analyzers
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
Cédric Archambeau, Nicolas Delannay, Michel...