Sciweavers

598 search results - page 70 / 120
» A random graph model for massive graphs
Sort
View
ECCV
2006
Springer
16 years 1 months ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...
LICS
2002
IEEE
15 years 4 months ago
Probabilistic Abstraction for Model Checking: An Approach Based on Property Testing
istic Abstraction for Model Checking: an Approach Based on Property Testing∗ Sophie Laplante† Richard Lassaigne‡ Fr´ed´eric Magniez§ Sylvain Peyronnet† Michel de Rougemo...
Sophie Laplante, Richard Lassaigne, Fréd&ea...
IPMI
2009
Springer
15 years 4 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...
VIS
2005
IEEE
122views Visualization» more  VIS 2005»
16 years 1 months ago
Effectively Visualizing Large Networks Through Sampling
We study the problem of visualizing large networks and develop es for effectively abstracting a network and reducing the size to a level that can be clearly viewed. Our size reduc...
Davood Rafiei, Stephen Curial
WAW
2007
Springer
120views Algorithms» more  WAW 2007»
15 years 6 months ago
Manipulation-Resistant Reputations Using Hitting Time
Popular reputation systems for linked networks can be manipulated by spammers who strategically place links. The reputation of node v is interpreted as the world’s opinion of v...
John E. Hopcroft, Daniel Sheldon