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248
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NLP
2000
15 years 7 months ago
Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Jean-Cédric Chappelier, Martin Rajman
107
Voted
FUN
2007
Springer
120views Algorithms» more  FUN 2007»
15 years 7 months ago
Drawing Borders Efficiently
A spreadsheet, especially MS Excel, is probably one of the most popular software applications for personal-computer users and gives us convenient and user-friendly tools for drawin...
Kazuo Iwama, Eiji Miyano, Hirotaka Ono
137
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WWW
2008
ACM
16 years 4 months ago
Offline matching approximation algorithms in exchange markets
Motivated by several marketplace applications on rapidly growing online social networks, we study the problem of efficient offline matching algorithms for online exchange markets....
Zeinab Abbassi, Laks V. S. Lakshmanan
115
Voted
DCOSS
2007
Springer
15 years 7 months ago
Efficient Computation of Minimum Exposure Paths in a Sensor Network Field
The exposure of a path p is a measure of the likelihood that an object traveling along p is detected by a network of sensors and it is formally defined as an integral over all poin...
Hristo Djidjev
134
Voted
DAGSTUHL
2004
15 years 4 months ago
The Priority R-Tree: A Practically Efficient and Worst-Case-Optimal R-Tree
We present the Priority R-tree, or PR-tree, which is the first R-tree variant that always answers a window query using O((N/B)1-1/d + T/B) I/Os, where N is the number of ddimensio...
Lars Arge, Mark de Berg, Herman J. Haverkort, Ke Y...