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» Approximation Algorithms for Graph Homomorphism Problems
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TIP
2008
133views more  TIP 2008»
13 years 8 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
TCS
2010
13 years 6 months ago
Clustering with partial information
The Correlation Clustering problem, also known as the Cluster Editing problem, seeks to edit a given graph by adding and deleting edges to obtain a collection of disconnected cliq...
Hans L. Bodlaender, Michael R. Fellows, Pinar Hegg...
JACM
2000
131views more  JACM 2000»
13 years 7 months ago
The soft heap: an approximate priority queue with optimal error rate
A simple variant of a priority queue, called a soft heap, is introduced. The data structure supports the usual operations: insert, delete, meld, and findmin. Its novelty is to beat...
Bernard Chazelle
AI
2011
Springer
13 years 3 months ago
Approximation of action theories and its application to conformant planning
This paper describes our methodology for building conformant planners, which is based on recent advances in the theory of action and change and answer set programming. The develop...
Phan Huy Tu, Tran Cao Son, Michael Gelfond, A. Ric...
SNPD
2007
13 years 9 months ago
Localized Flooding Backbone Construction for Location Privacy in Sensor Networks
Source and destination location privacy is a challenging and important problem in sensor networks. Nevertheless, privacy preserving communication in sensor networks is still a vir...
Yingchang Xiang, Dechang Chen, Xiuzhen Cheng, Kai ...