251 search results - page 3 / 51 » A Greedy EM Algorithm for Gaussian Mixture Learning |
ICIP
2005
IEEE
14 years 7 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...
ICIP
2001
IEEE
14 years 7 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
13 years 7 months ago
1998
We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
NIPS
2004
13 years 7 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 ...
DAGM
2010
Springer
13 years 6 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...