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» On Generating Random Network Structures: Connected Graphs
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ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 5 months ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
133
Voted
FPGA
2000
ACM
114views FPGA» more  FPGA 2000»
15 years 4 months ago
Generating highly-routable sparse crossbars for PLDs
A method for evaluating and constructing sparse crossbars which are both area efficient and highly routable is presented. The evaluation method uses a network flow algorithm to ac...
Guy G. Lemieux, Paul Leventis, David M. Lewis
113
Voted
IPMI
2009
Springer
15 years 5 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...
MOBIHOC
2002
ACM
16 years 4 days ago
Approximating minimum size weakly-connected dominating sets for clustering mobile ad hoc networks
We present a series of approximation algorithms for finding a small weakly-connected dominating set (WCDS) in a given graph to be used in clustering mobile ad hoc networks. The st...
Yuanzhu Peter Chen, Arthur L. Liestman
CCR
2008
84views more  CCR 2008»
15 years 20 days ago
Modeling internet topology dynamics
Despite the large number of papers on network topology modeling and inference, there still exists ambiguity about the real nature of the Internet AS and router level topology. Whi...
Hamed Haddadi, Steve Uhlig, Andrew W. Moore, Richa...