251 search results - page 3 / 51 » A Greedy EM Algorithm for Gaussian Mixture Learning |
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture mod...
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ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
NIPS
1998
14 years 11 months ago
1998
We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
NIPS
2004
14 years 11 months ago
2004
We propose a gossip-based distributed algorithm for Gaussian mixture learning, Newscast EM. The algorithm operates on network topologies where each node observes a local quantity ...
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DAGM
2010
Springer
14 years 10 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...