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» Non-parametric Mixture Models for Clustering
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NECO
2011
14 years 6 months ago
Conjugate Mixture Models for Clustering Multimodal Data
Vasil Khalidov, Florence Forbes, Radu Horaud
IPMI
2009
Springer
16 years 16 days ago
Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model
In this paper, we propose a new nonparametric Bayesian framework to cluster white matter fiber tracts into bundles using a hierarchical Dirichlet processes mixture (HDPM) model. Th...
Carl-Fredrik Westin, W. Eric L. Grimson, Xiaogang ...
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 5 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
ESANN
2007
15 years 1 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...
GFKL
2004
Springer
107views Data Mining» more  GFKL 2004»
15 years 5 months ago
Hierarchical Mixture Models for Nested Data Structures
A hierarchical extension of the finite mixture model is presented that can be used for the analysis of nested data structures. The model permits a simultaneous model-based cluster...
Jeroen K. Vermunt, Jay Magidson