64 search results - page 8 / 13 » Niching in Monte Carlo Filtering Algorithms |
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
ACCV
2009
Springer
14 years 2 months ago
2009
Springer
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...
DATE
2008
IEEE
14 years 2 months ago
2008
IEEE
A new algorithm is presented that combines performance and variation objectives in a behavioural model for a given analogue circuit topology and process. The tradeoffs between per...
PLDI
2010
ACM
14 years 23 days ago
2010
ACM
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...