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TIP
2011
89views more  TIP 2011»
13 years 2 months ago
Random Phase Textures: Theory and Synthesis
This paper explores the mathematical and algorithmic properties of two sample-based microtexture models: random phase noise (RPN ) and asymptotic discrete spot noise (ADSN ). Thes...
Bruno Galerne, Yann Gousseau, Jean-Michel Morel
AAAI
2007
13 years 10 months ago
Approximate Counting by Sampling the Backtrack-free Search Space
We present a new estimator for counting the number of solutions of a Boolean satisfiability problem as a part of an importance sampling framework. The estimator uses the recently...
Vibhav Gogate, Rina Dechter
ICASSP
2009
IEEE
14 years 2 months ago
Spatial super-resolution of a diffusion field by temporal oversampling in sensor networks
We study the spatial-temporal sampling of a linear diffusion field, and show that it is possible to compensate for insufficient spatial sampling densities by oversampling in tim...
Yue M. Lu, Martin Vetterli
VLDB
2004
ACM
104views Database» more  VLDB 2004»
14 years 27 days ago
Remembrance of Streams Past: Overload-Sensitive Management of Archived Streams
This paper studies Data Stream Management Systems that combine real-time data streams with historical data, and hence access incoming streams and archived data simultaneously. A s...
Sirish Chandrasekaran, Michael J. Franklin
MP
2006
90views more  MP 2006»
13 years 7 months ago
Solving multistage asset investment problems by the sample average approximation method
The vast size of real world stochastic programming instances requires sampling to make them practically solvable. In this paper we extend the understanding of how sampling affects ...
Jörgen Blomvall, Alexander Shapiro