323 search results - page 27 / 65 » An Importance Sampling Algorithm Based on Evidence Pre-propa... |
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
SAC
2008
ACM
13 years 7 months ago
2008
ACM
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
CGF
2006
13 years 7 months ago
2006
We present the Optimizing Control Variate (OCV) estimator, a new estimator for Monte Carlo rendering. Based upon a deterministic sampling framework, OCV allows multiple importance...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Similarity joins are important operations with a broad range of applications. In this paper, we study the problem of vector similarity join size estimation (VSJ). It is a generali...