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» Variational Bayesian image modelling
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ICASSP
2010
IEEE
15 years 3 months ago
A minimax approach to Bayesian estimation with partial knowledge of the observation model
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...
Tomer Michaeli, Yonina C. Eldar
ICANN
2009
Springer
15 years 7 months ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
CVPR
2007
IEEE
16 years 5 months ago
Model-Guided Segmentation of 3D Neuroradiological Image Using Statistical Surface Wavelet Model
This paper proposes a novel model-guided segmentation framework utilizing a statistical surface wavelet model as a shape prior. In the model building process, a set of training sh...
Yang Li, Tiow Seng Tan, Ihar Volkau, Wieslaw L. No...
ICIP
2003
IEEE
15 years 8 months ago
A priori information in image segmentation: energy functional based on shape statistical model and image information
In this paper, we propose an energy functional to segment objects whose global shape is a priori known thanks to a statistical model. Our work aims at extending the variational ap...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
ICPR
2008
IEEE
15 years 9 months ago
A Bayesian Local Binary Pattern texture descriptor
In this paper, a Bayesian LBP operator is proposed. This operator is formulated in a novel Filtering, Labeling and Statistic (FLS) framework for texture descriptors. In the framew...
Chu He, Timo Ahonen, Matti Pietikäinen