1387 search results - page 52 / 278 » Variational Bayesian image modelling |
144
Voted
CVPR
2011
IEEE
14 years 6 months ago
2011
IEEE
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
152
Voted
NIPS
2008
15 years 4 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
119
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Lambert's model is widely used in low level computer vision algorithms such as matching, tracking or optical flow computation for example. However, it is well known that thes...
140
Voted
ESANN
2006
15 years 4 months ago
2006
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
169
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
This paper addresses the problem of estimating the statistical distribution of multiple-tissue non-stationary ultrasound images of skin. The distribution of multiple-tissue images...