1088 search results - page 70 / 218 » A Bayesian Approach to Tackling Hard Computational Problems |
ML
2012
ACM
12 years 3 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
NIPS
2004
13 years 9 months ago
2004
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
BMCBI
2010
13 years 7 months ago
2010
Background: The omics fields promise to revolutionize our understanding of biology and biomedicine. However, their potential is compromised by the challenge to analyze the huge da...
FOCS
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— A number of recent results on optimization problems involving submodular functions have made use of the ”multilinear relaxation” of the problem [3], [8], [24], [14]...
SSIAI
2000
IEEE
14 years 1 days ago
2000
IEEE
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...