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TIT
2008
87views more  TIT 2008»
14 years 9 months ago
Maxwell Construction: The Hidden Bridge Between Iterative and Maximum a Posteriori Decoding
There is a fundamental relationship between belief propagation and maximum a posteriori decoding. A decoding algorithm, which we call the Maxwell decoder, is introduced and provide...
Cyril Measson, Andrea Montanari, Rüdiger L. U...
CHI
2011
ACM
14 years 2 months 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»
13 years 7 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
98
Voted
ICIP
2008
IEEE
16 years 1 months ago
Efficient BP stereo with automatic paramemeter estimation
In this paper, we propose a series of techniques to enhance the computational performance of existing Belief Propagation (BP) based stereo matching that relies on automatic estima...
Shafik Huq, Andreas Koschan, Besma R. Abidi, Mongi...
SAT
2009
Springer
91views Hardware» more  SAT 2009»
15 years 5 months ago
VARSAT: Integrating Novel Probabilistic Inference Techniques with DPLL Search
Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...
Eric I. Hsu, Sheila A. McIlraith