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» Parameterized Complexity and Approximation Algorithms
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185
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ICCV
1999
IEEE
16 years 4 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
COCOA
2008
Springer
15 years 5 months ago
Fixed-Parameter Tractability of Anonymizing Data by Suppressing Entries
A popular model for protecting privacy when person-specific data is released is k-anonymity. A dataset is k-anonymous if each record is identical to at least (k - 1) other records ...
Rhonda Chaytor, Patricia A. Evans, Todd Wareham
131
Voted
GECCO
2007
Springer
193views Optimization» more  GECCO 2007»
15 years 10 months ago
Approximating covering problems by randomized search heuristics using multi-objective models
The main aim of randomized search heuristics is to produce good approximations of optimal solutions within a small amount of time. In contrast to numerous experimental results, th...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann,...
150
Voted
PODS
2008
ACM
250views Database» more  PODS 2008»
16 years 3 months ago
Approximating predicates and expressive queries on probabilistic databases
We study complexity and approximation of queries in an expressive query language for probabilistic databases. The language studied supports the compositional use of confidence com...
Christoph Koch
NIPS
2007
15 years 5 months ago
What makes some POMDP problems easy to approximate?
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
David Hsu, Wee Sun Lee, Nan Rong