125 search results - page 1 / 25 » Adaptive methods for sequential importance sampling with app... |
SAC
2008
ACM
13 years 4 months ago
2008
ACM
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
UAI
2000
13 years 6 months ago
2000
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
ETT
2002
13 years 4 months ago
2002
In this paper, a method is presented for the efficient estimation of rare-event (buffer overflow) probabilities in queueing networks using importance sampling. Unlike previously pr...
IJCV
2008
13 years 4 months ago
2008
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
ECCV
2002
Springer
14 years 6 months ago
2002
Springer
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...