1387 search results - page 82 / 278 » Variational Bayesian image modelling |
165
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JMLR
2012
13 years 5 months ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
107
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
162
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CVIU
2010
15 years 3 months ago
2010
We address the problem of variational optical flow for video processing applications that need fast operation and robustness to drastic variations in illumination. Recently, a sol...
141
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AIPR
2005
IEEE
15 years 8 months ago
2005
IEEE
Diffuse Optical Tomography (DOT) poses a typical illposed inverse problem with limited number of measurements and inherently low spatial resolution. In this paper, we propose a hi...
ISMDA
2001
Springer
15 years 7 months ago
2001
Springer
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...