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ICCV
2007
IEEE
16 years 8 months ago
Non-Parametric Probabilistic Image Segmentation
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...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
ECCV
2008
Springer
16 years 8 months ago
SERBoost: Semi-supervised Boosting with Expectation Regularization
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...
Amir Saffari, Helmut Grabner, Horst Bischof
ICIP
2008
IEEE
16 years 8 months ago
Learning structurally discriminant features in 3D faces
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....
ICIP
2007
IEEE
16 years 8 months ago
Analyzing Symbol and Bit Plane-Based LDPC in Distributed Video Coding
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...
ICIP
2006
IEEE
16 years 8 months ago
Dependency Channel Modeling for a LDPC-Based Wyner-Ziv Video Compression Scheme
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...