243 search results - page 27 / 49 » Non-linear regression models for Approximate Bayesian Comput... |
ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
182
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ICCV
2009
IEEE
16 years 4 months ago
2009
IEEE
This paper addresses the problem of fully automated
mining of public space video data. A novel Markov Clustering
Topic Model (MCTM) is introduced which builds on
existing Dynami...
120
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JMLR
2002
14 years 11 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
110
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KDD
2004
ACM
15 years 5 months ago
2004
ACM
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
SDM
2007
SIAM
15 years 1 months ago
2007
SIAM
The paper introduces a notion of support for realvalued functions. It is shown how to approximate supports of a large class of functions based on supports of so called polynomial ...