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...
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...
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...
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...
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...