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NLP
2000
15 years 10 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
RAS
2007
148views more  RAS 2007»
15 years 5 months ago
Including probabilistic target detection attributes into map representations
Range measuring sensors can play an extremely important role in robot navigation. All range measuring devices rely on a ‘detection criterion’ made in the presence of noise, to...
John Mullane, Ebi Jose, Martin David Adams, Wijeru...
BMCBI
2005
116views more  BMCBI 2005»
15 years 6 months ago
Can Zipf's law be adapted to normalize microarrays?
Background: Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for ...
Timothy Lu, Christine M. Costello, Peter J. P. Cro...
ICS
2011
Tsinghua U.
14 years 9 months ago
High performance linpack benchmark: a fault tolerant implementation without checkpointing
The probability that a failure will occur before the end of the computation increases as the number of processors used in a high performance computing application increases. For l...
Teresa Davies, Christer Karlsson, Hui Liu, Chong D...
CVPR
2003
IEEE
16 years 8 months ago
Object Removal by Exemplar-Based Inpainting
A new algorithm is proposed for removing large objects from digital images. The challenge is to fill in the hole that is left behind in a visually plausible way. In the past, this...
Antonio Criminisi, Kentaro Toyama, Patrick P&eacut...
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