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» A General Framework for Graph Sparsification
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JSAC
1998
126views more  JSAC 1998»
15 years 3 months ago
Iterative Decoding of Compound Codes by Probability Propagation in Graphical Models
Abstract—We present a unified graphical model framework for describing compound codes and deriving iterative decoding algorithms. After reviewing a variety of graphical models (...
Frank R. Kschischang, Brendan J. Frey
163
Voted
SODA
2012
ACM
253views Algorithms» more  SODA 2012»
13 years 6 months ago
Kernelization of packing problems
Kernelization algorithms are polynomial-time reductions from a problem to itself that guarantee their output to have a size not exceeding some bound. For example, d-Set Matching f...
Holger Dell, Dániel Marx
CVPR
2003
IEEE
16 years 5 months ago
PAMPAS: Real-Valued Graphical Models for Computer Vision
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
Michael Isard
STACS
2010
Springer
15 years 10 months ago
Evasiveness and the Distribution of Prime Numbers
Abstract. A Boolean function on N variables is called evasive if its decision-tree complexity is N. A sequence Bn of Boolean functions is eventually evasive if Bn is evasive for al...
László Babai, Anandam Banerjee, Ragh...
121
Voted
XSYM
2004
Springer
129views Database» more  XSYM 2004»
15 years 8 months ago
Fractional XSketch Synopses for XML Databases
A key step in the optimization of declarative queries over XML data is estimating the selectivity of path expressions, i.e., the number of elements reached by a specific navigatio...
Natasha Drukh, Neoklis Polyzotis, Minos N. Garofal...