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ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
13 years 11 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
MICCAI
2009
Springer
14 years 6 months ago
Multimodal Prior Appearance Models Based on Regional Clustering of Intensity Profiles
Model-based image segmentation requires prior information about the appearance of a structure in the image. Instead of relying on Principal Component Analysis such as in Statistica...
François Chung, Hervé Delingette
PAMI
2008
161views more  PAMI 2008»
13 years 4 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
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...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
TASLP
2010
109views more  TASLP 2010»
13 years 3 months ago
Model-Based Expectation-Maximization Source Separation and Localization
Abstract—This paper describes a system, referred to as modelbased expectation-maximization source separation and localization (MESSL), for separating and localizing multiple soun...
Michael I. Mandel, Ron J. Weiss, Daniel P. W. Elli...
ICARCV
2008
IEEE
151views Robotics» more  ICARCV 2008»
13 years 11 months ago
Model-Based Networked Control System stability based on packet drop distributions
Abstract—This paper studies the system stability of a ModelBased Networked Control System in the cases where packet losses follow a certain distributions. In this study, the unre...
Lanzhi Teng, Peng Wen, Wei Xiang