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Editors: Sequential Monte Carlo Methods in Practice
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The article was published on 2001-01-01 and is currently open access. It has received 1215 citations till now. The article focuses on the topics: Dynamic Monte Carlo method & Monte Carlo method in statistical physics.read more
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Book ChapterDOI
Pattern recognition in video
TL;DR: The applications of pattern recognition in video to problems like face and gait-based human recognition, behavior classification, activity recognition and activity based person identification are discussed.
Proceedings ArticleDOI
Distributive JPDAF for Multi-Target Tracking in Wireless Sensor Networks
Hui Ma,Brian W.-H. Ng +1 more
TL;DR: The development of a distributive joint probabilistic data association filter (JPDAF) for multi-target tracking in wireless sensor networks is presented and Gaussian mixture model is used to develop the distributive JPDAF.
Journal ArticleDOI
Stochastic boosting algorithms
Ajay Jasra,Christopher Holmes +1 more
TL;DR: It is found that stochastic boosting algorithms can provide better predictions for classification problems than the corresponding boosting algorithm, and sequential Monte Carlo methods are applied.
Proceedings ArticleDOI
Building beliefs: Unsupervised generation of observation likelihoods for probabilistic localization in changing environments
Stephanie Lowry,Michael Milford +1 more
TL;DR: A probabilistic localization system that generates an appropriate observation model online, unlike existing systems which require pre-determined belief models, and the dual-model system outperforms a single-model or pre-trained approach and state-of-the-art localization techniques.
Journal ArticleDOI
Tracking intermittently speaking multiple speakers using a particle filter
TL;DR: A method for tracking intermittently speaking multiple speakers using a particle filter based on the Exponential Fitting Test (EFT), a source number estimation technique which is proposed, which produces highly accurate tracking results.