We propose a simple probabilistic generative model for image segmentation. Like other probabilistic algorithms (such as EM on a Mixture of Gaussians) the proposed model is princip...
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
Many distributed video coders are implemented using sophisticated error correction codes that use soft information (conditional probabilities) as a priori knowledge. This a priori...
Ronald P. Westerlaken, Stefan Borchert, Rene Klein...
Research in distributed video coding for low complexity encoding has shown that without knowledge of the correlation between source and side information (i.e. the behavior of the ...
Ronald P. Westerlaken, Stefan Borchert, Rene Klein...