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PRL
2000
58views more  PRL 2000»
13 years 7 months ago
Learning mixture models using a genetic version of the EM algorithm
The need to
Aleix M. Martínez, Jordi Vitrià
MICCAI
2000
Springer
13 years 11 months ago
Fusing Speed and Phase Information for Vascular Segmentation in Phase Contrast MR Angiograms
This paper presents a statistical approach to aggregating speed and phase (directional) information for vascular segmentation in phase contrast magnetic resonance angiograms (PC-MR...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...
BMEI
2009
IEEE
13 years 8 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
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...
Lin Wang, Jinwen Ma
ICTAI
2010
IEEE
13 years 4 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
ICPR
2006
IEEE
14 years 8 months ago
EBEM: An Entropy-based EM Algorithm for Gaussian Mixture Models
Antonio Peñalver Benavent, Francisco Escola...