160 search results - page 1 / 32 » Adaptive importance sampling in general mixture classes |
SAC
2008
ACM
13 years 4 months ago
2008
ACM
In this paper, we propose an adaptive algorithm that iteratively updates both the weights and component parameters of a mixture importance sampling density so as to optimise the p...
WSC
2007
13 years 7 months ago
2007
Importance Sampling is a potentially powerful variance reduction technique to speed up simulations where the objective depends on the occurrence of rare events. However, it is cru...
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
Segmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmenta...
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...
AMC
2007
13 years 5 months ago
2007
When correlating the samples with the corresponding class labels, canonical correlation analysis (CCA) can be used for supervised feature extraction and subsequent classification...