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» Parameterized st -Orientations of Graphs: Algorithms and Exp...
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ICML
2004
IEEE
14 years 6 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
SIGMOD
2007
ACM
186views Database» more  SIGMOD 2007»
14 years 5 months ago
Fg-index: towards verification-free query processing on graph databases
Graphs are prevalently used to model the relationships between objects in various domains. With the increasing usage of graph databases, it has become more and more demanding to e...
James Cheng, Yiping Ke, Wilfred Ng, An Lu
CORR
2011
Springer
174views Education» more  CORR 2011»
12 years 9 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
TCC
2009
Springer
169views Cryptology» more  TCC 2009»
14 years 5 months ago
Goldreich's One-Way Function Candidate and Myopic Backtracking Algorithms
Abstract. Goldreich (ECCC 2000) proposed a candidate one-way function construction which is parameterized by the choice of a small predicate (over d = O(1) variables) and of a bipa...
James Cook, Omid Etesami, Rachel Miller, Luca Trev...
ICCV
1999
IEEE
14 years 6 months ago
Curve Finder Combining Perceptual Grouping and a Kalman Like Fitting
We present an algorithm that extracts curves from a set of edgels within a specific class in a decreasing order of their ``length''. The algorithm inherits the perceptual...
Frederic Guichard, Jean-Philippe Tarel