302 search results - page 13 / 61 » Non-parametric Mixture Models for Clustering |
121
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EMNLP
2010
15 years 1 months ago
2010
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...
143
Voted
MICCAI
2008
Springer
16 years 5 months ago
2008
Springer
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...
125
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ICPR
2010
IEEE
15 years 9 months ago
2010
IEEE
—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 ...
170
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TNN
2010
14 years 10 months ago
2010
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...
150
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CSDA
2010
15 years 4 months ago
2010
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...