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» Random sampling and approximation of MAX-CSP problems
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NLP
2000
13 years 11 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
CVIU
2007
152views more  CVIU 2007»
13 years 7 months ago
A random sampling strategy for piecewise planar scene segmentation
We investigate the problem of automatically creating 3D models of man-made environments that we represent as collections of textured planes. A typical approach is to automatically...
Adrien Bartoli
CORR
2010
Springer
157views Education» more  CORR 2010»
13 years 7 months ago
A Dense Hierarchy of Sublinear Time Approximation Schemes for Bin Packing
The bin packing problem is to find the minimum number of bins of size one to pack a list of items with sizes a1,
Richard Beigel, Bin Fu
ESA
2008
Springer
115views Algorithms» more  ESA 2008»
13 years 9 months ago
Deterministic Sampling Algorithms for Network Design
For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called Sample-Augment algorithms in [11]. The algor...
Anke van Zuylen
TON
2002
86views more  TON 2002»
13 years 7 months ago
Efficient randomized web-cache replacement schemes using samples from past eviction times
The problem of document replacement in web caches has received much attention in recent research, and it has been shown that the eviction rule "replace the least recently used...
Konstantinos Psounis, Balaji Prabhakar