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ICTAI
1996
IEEE
15 years 2 months ago
Binary CSP Solving as an Inference Process
We describe constraint solving using a rule-based approach. The distinction made between deduction rules and strategies by computational systems allows us to improve our understan...
Carlos Castro
COCOON
2008
Springer
14 years 12 months ago
Haplotype Inferring Via Galled-Tree Networks Is NP-Complete
The problem of determining haplotypes from genotypes has gained considerable prominence in the research community since the beginning of the HapMap project. Here the focus is on de...
Arvind Gupta, Ján Manuch, Ladislav Stacho, ...
NIPS
2000
14 years 11 months ago
Generalized Belief Propagation
In an important recent paper, Yedidia, Freeman, and Weiss [11] showed that there is a close connection between the belief propagation algorithm for probabilistic inference and the...
Jonathan S. Yedidia, William T. Freeman, Yair Weis...
ICFP
2008
ACM
15 years 10 months ago
From ML to MLF: graphic type constraints with efficient type inference
MLF is a type system that seamlessly merges ML-style type inference with System-F polymorphism. We propose a system of graphic (type) constraints that can be used to perform type ...
Boris Yakobowski, Didier Rémy

Book
374views
16 years 9 months ago
Computer Vision
The book covers the fundamental computer vision techniques such as template matching histogram transformations, background subtraction, filtering and reflectance models, edge detec...
Dana H. Ballard, Christopher M. Brown