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AIPS
2007
13 years 10 months ago
Approximate Solution Techniques for Factored First-Order MDPs
Most traditional approaches to probabilistic planning in relationally specified MDPs rely on grounding the problem w.r.t. specific domain instantiations, thereby incurring a com...
Scott Sanner, Craig Boutilier
DAC
2005
ACM
13 years 9 months ago
Piece-wise approximations of RLCK circuit responses using moment matching
Capturing RLCK circuit responses accurately with existing model order reduction (MOR) techniques is very expensive. Direct metrics for fast analysis of RC circuits exist but there...
Chirayu S. Amin, Yehea I. Ismail, Florentin Dartu
CVPR
2010
IEEE
12 years 4 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
ISSAC
2007
Springer
153views Mathematics» more  ISSAC 2007»
14 years 1 months ago
On exact and approximate interpolation of sparse rational functions
The black box algorithm for separating the numerator from the denominator of a multivariate rational function can be combined with sparse multivariate polynomial interpolation alg...
Erich Kaltofen, Zhengfeng Yang
ICTAI
2006
IEEE
14 years 1 months ago
An Approximation to Mean-Shift via Swarm Intelligence
Mean shift based feature space analysis has been shown to be an elegant, accurate and robust technique. The elegance in this non-parametric algorithm is mainly due to its simplici...
Mani Thomas, Chandra Kambhamettu