238 search results - page 33 / 48 » Conjugate Mixture Models for Clustering Multimodal Data |
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
PR
2007
14 years 9 months ago
2007
Given a data set, a dynamical procedure is applied to the data points in order to shrink and separate, possibly overlapping clusters. Namely, Newton’s equations of motion are em...
CVPR
1999
IEEE
15 years 11 months ago
1999
IEEE
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
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VISAPP
2007
14 years 10 months ago
2007
In this paper, we address the problem of robustly recovering several instances of a curve model from a single noisy data set with outliers. Using M-estimators revisited in a Lagran...