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» Non-parametric Mixture Models for Clustering
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EMNLP
2010
14 years 9 months ago
A Mixture Model with Sharing for Lexical Semantics
We introduce tiered clustering, a mixture model capable of accounting for varying degrees of shared (context-independent) feature structure, and demonstrate its applicability to i...
Joseph Reisinger, Raymond J. Mooney
MICCAI
2008
Springer
16 years 26 days ago
Discovering Modes of an Image Population through Mixture Modeling
Abstract. We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The out...
Mert R. Sabuncu, Serdar K. Balci, Polina Golland
ICPR
2010
IEEE
15 years 4 months ago
Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization
—We present solutions to two problems that prevent the effective use of population-based algorithms in clustering problems. The first solution presents a new representation for ...
Caglar Ari, Selim Aksoy
TNN
2010
216views Management» more  TNN 2010»
14 years 6 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
CSDA
2010
208views more  CSDA 2010»
14 years 11 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...