926 search results - page 11 / 186 » Outliers and Bayesian Inference |
84
Voted
RSFDGRC
2005
Springer
15 years 6 months ago
2005
Springer
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
92
Voted
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We address the problem of object-based visual attention from a Bayesian standpoint. We contend with the issue of joint segmentation and saliency computation suitable to provide a ...
96
Voted
NIPS
1998
15 years 1 months ago
1998
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...
116
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CVPR
2008
IEEE
15 years 2 months ago
2008
IEEE
In photometric stereo a robust method is required to deal with outliers, such as shadows and non-Lambertian reflections. In this paper we rely on a probabilistic imaging model tha...
128
click to vote
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is d...