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» Transient Probability Functions: A Sample Path Approach
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ICALP
2007
Springer
14 years 1 months ago
Estimating Sum by Weighted Sampling
We study the classic problem of estimating the sum of n variables. The traditional uniform sampling approach requires a linear number of samples to provide any non-trivial guarante...
Rajeev Motwani, Rina Panigrahy, Ying Xu 0002
CORR
2011
Springer
219views Education» more  CORR 2011»
13 years 2 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
CIMAGING
2008
104views Hardware» more  CIMAGING 2008»
13 years 9 months ago
MCMC curve sampling and geometric conditional simulation
We present an algorithm to generate samples from probability distributions on the space of curves. Traditional curve evolution methods use gradient descent to find a local minimum...
Ayres C. Fan, John W. Fisher III, Jonathan Kane, A...
PG
2000
IEEE
14 years 3 days ago
Acceleration of Monte Carlo Path Tracing in General Environments
This paper describes a two pass algorithm capable of computing solutions to the global illumination in general environments (diffuse or glossy surfaces, anisotropically scattering...
Frederic Pérez, Ignacio Martín, Xavi...
ETT
2002
77views Education» more  ETT 2002»
13 years 7 months ago
On the importance function in splitting simulation
The splitting method is a simulation technique for the estimation of very small probabilities. In this technique, the sample paths are split into multiple copies, at various stages...
Marnix J. J. Garvels, Jan-Kees C. W. van Ommeren, ...