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» Inference Algorithms for Similarity Networks
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ECCC
2008
108views more  ECCC 2008»
15 years 3 months ago
The Complexity of Rationalizing Matchings
Given a set of observed economic choices, can one infer preferences and/or utility functions for the players that are consistent with the data? Questions of this type are called r...
Shankar Kalyanaraman, Christopher Umans
CVPR
2011
IEEE
14 years 6 months ago
Connecting Non-Quadratic Variational Models and MRFs
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
Kevin Schelten, Stefan Roth
CVPR
2012
IEEE
13 years 5 months ago
Multiclass pixel labeling with non-local matching constraints
A popular approach to pixel labeling problems, such as multiclass image segmentation, is to construct a pairwise conditional Markov random field (CRF) over image pixels where the...
Stephen Gould
COMSWARE
2008
IEEE
15 years 4 months ago
Extracting dense communities from telecom call graphs
Social networks refer to structures made of nodes that represent people or other entities embedded in a social context, and whose edges represent interaction between entities. Typi...
Vinayaka Pandit, Natwar Modani, Sougata Mukherjea,...
NGC
2001
Springer
196views Communications» more  NGC 2001»
15 years 7 months ago
Application-Level Multicast Using Content-Addressable Networks
Abstract. Most currently proposed solutions to application-level multicast organize the group members into an application-level mesh over which a DistanceVector routing protocol, o...
Sylvia Ratnasamy, Mark Handley, Richard M. Karp, S...