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» EM Algorithms for Self-Organizing Maps
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ICML
2008
IEEE
15 years 10 months ago
Fully distributed EM for very large datasets
In EM and related algorithms, E-step computations distribute easily, because data items are independent given parameters. For very large data sets, however, even storing all of th...
Jason Wolfe, Aria Haghighi, Dan Klein
IBPRIA
2007
Springer
15 years 3 months ago
Estimation of Multiple Objects at Unknown Locations with Active Contours
Abstract. This paper presents an algorithm for the estimation of multiple regions with unknown shapes and positions using multiple active contour models (ACM’s). The algorithm or...
Margarida Silveira, Jorge S. Marques
WAPCV
2004
Springer
15 years 3 months ago
Combining Conspicuity Maps for hROIs Prediction
Bottom-up cortical representations of visual conspicuity interact with top-down internal cognitive models of the external world to control eye movements, EMs, and the closely linke...
Claudio M. Privitera, Orazio Gallo, Giorgio Grimol...
KI
2009
Springer
15 years 4 months ago
Maximum a Posteriori Estimation of Dynamically Changing Distributions
This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
Michael Volkhardt, Sören Kalesse, Steffen M&u...
72
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CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
14 years 9 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery