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IPMI
2009
Springer
13 years 10 months ago
Dense Registration with Deformation Priors
Abstract. In this paper we propose a novel approach to define task-driven regularization constraints in deformable image registration using learned deformation priors. Our method ...
Ben Glocker, Nikos Komodakis, Nassir Navab, Georgi...
SAFECOMP
2000
Springer
13 years 9 months ago
Assessment of the Reliability of Fault-Tolerant Software: A Bayesian Approach
Fault tolerant systems based on the use of software design diversity may be able to achieve high levels of reliability more cost-effectively than other approaches, such as heroic ...
Bev Littlewood, Peter T. Popov, Lorenzo Strigini
AI
2006
Springer
13 years 6 months ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth
CCS
2009
ACM
14 years 6 months ago
The union-split algorithm and cluster-based anonymization of social networks
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
Brian Thompson, Danfeng Yao
ESOP
2011
Springer
12 years 9 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...