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» The Incidence Propagation Method
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CHI
2011
ACM
13 years 14 days ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 4 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
ASPDAC
2005
ACM
113views Hardware» more  ASPDAC 2005»
14 years 2 months ago
Scalable interprocedural register allocation for high level synthesis
Abstract— The success of classical high level synthesis has been limited by the complexity of the applications it can handle, typically not large enough to necessitate the depart...
Rami Beidas, Jianwen Zhu
ITC
2003
IEEE
148views Hardware» more  ITC 2003»
14 years 2 months ago
HyAC: A Hybrid Structural SAT Based ATPG for Crosstalk
As technology evolves into the deep sub-micron era, signal integrity problems are growing into a major challenge. An important source of signal integrity problems is the crosstalk...
Xiaoliang Bai, Sujit Dey, Angela Krstic
CVPR
2012
IEEE
11 years 11 months ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr