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» Conjugate Mixture Models for Clustering Multimodal Data
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CVPR
2004
IEEE
14 years 7 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
INFORMATICALT
2002
136views more  INFORMATICALT 2002»
13 years 5 months ago
Comparison of Poisson Mixture Models for Count Data Clusterization
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Jurgis Susinskas, Marijus Radavicius
SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
13 years 7 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava
KDD
2003
ACM
111views Data Mining» more  KDD 2003»
14 years 6 months ago
Translation-invariant mixture models for curve clustering
Darya Chudova, Scott Gaffney, Eric Mjolsness, Padh...
SSPR
2010
Springer
13 years 4 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain