5 search results - page 1 / 1 » Gossip-Based Greedy Gaussian Mixture Learning |
PCI
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. It has been recently demonstrated that the classical EM algorithm for learning Gaussian mixture models can be successfully implemented in a decentralized manner by resort...
NPL
2002
13 years 4 months ago
2002
Learninga Gaussian mixturewithalocal algorithm like EMcanbe dif
BMEI
2009
IEEE
13 years 5 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
PAMI
2008
13 years 4 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
DATAMINE
2006
13 years 4 months ago
2006
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...