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Particle filter
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#	Item
101	Statistics and Computing, 197–208 On sequential Monte Carlo sampling methods for Bayesian filtering ARNAUD DOUCET, SIMON GODSILL and CHRISTOPHE ANDRIEU Signal Processing Group, Department of Engineering, Uni Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2005-07-07 17:22:40 Estimation theory Control theory Electronic engineering Signal processing Particle filter Vehicle Identification Number Importance sampling Kalman filter XK Robot control Statistics Monte Carlo methods
102	Department of Electrical and Computer Systems Engineering Technical Report MECSE Add to Reading List Source URL: www.ecse.monash.edu.au Language: English - Date: 2005-07-14 22:43:32 Electronic engineering Statistics Robot navigation Linear filters Simultaneous localization and mapping Extended Kalman filter Particle filter Occupancy grid mapping Kalman filter Robot control Estimation theory Control theory
103	HEPA filter leak testing Development and current state of installed HEPA filter leak testing Add to Reading List Source URL: www.aafeurope.com Language: English - Date: 2014-11-19 09:38:33 Chemical engineering Institute of Environmental Sciences and Technology HEPA ULPA Cleanroom Particle counter Contamination control Filtration Air filter Filters Chemistry Technology
104	ROBUST 3D LOCALIZATION AND TRACKING OF SOUND SOURCES USING BEAMFORMING AND PARTICLE FILTERING Jean-Marc Valin∗ †, Franc¸ois Michaud† and Jean Rouat† CSIRO ICT Centre, Cnr Vimiera & Pembroke Rds, Marsfield NSW 21 Add to Reading List Source URL: jmvalin.ca Language: English - Date: 2006-01-16 22:51:44 Control theory Beamforming Signal processing Sonar Markov models Kalman filter Particle filter Microphone array Microphone Robot control Statistics Electronic engineering
105	Japanese Monetary Policy Reaction Function and Time-Varying Structural Vector Autoregressions: A Monte Carlo Particle Filtering Approach ∗ Koiti Yano† Naoyuki Yoshino‡ Add to Reading List Source URL: www.fsa.go.jp Language: English - Date: 2008-02-14 02:11:11 Control theory Robot control Econometrics Time series analysis Kalman filter State observer Vector autoregression Markov chain Time series Statistics Probability and statistics Markov models
106	状態の遷移方程式を用いたモンテカルロ粒子平滑化とフィルター初期化 Add to Reading List Source URL: www.fsa.go.jp Language: English - Date: 2007-05-23 00:37:14 Computational statistics Monte Carlo methods Electronics Control theory Particle filter Filter Estimation theory Electronic engineering Robot control
107	Tutorial – PHM ConferenceDiscrete Time Bayesian Estimation for Failure Prognosis Bruno P. Leão Add to Reading List Source URL: www.phmsociety.org Language: English - Date: 2013-10-25 11:43:13 Control theory Statistical inference Bayes estimator Bayesian inference Kalman filter Particle filter Wikimedia Foundation Bayesian spam filtering Estimation theory Statistics Robot control
108	To appear at UAI2014 Bayesian Filtering with Online Gaussian Process Latent Variable Models Yali Wang Laval University Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-08-28 17:44:56 Robot control Estimation theory Markov models Linear filters Monte Carlo methods Particle filter Kalman filter Mixture model Mathematical model Statistics Software Mathematics
109	Bayesian Model Averaging Using the k-best Bayesian Network Structures Jin Tian, Ru He and Lavanya Ram Department of Computer Science Iowa State University Ames, IA 50011 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2010-06-14 14:21:41 Bayesian inference Markov chain Graphical model Marginal likelihood Estimation theory Prior probability Particle filter Bayesian inference in phylogeny Statistics Bayesian statistics Bayesian network
110	Department of Electrical and Computer Systems Engineering Technical Report MECSE Add to Reading List Source URL: www.ecse.monash.edu.au Language: English - Date: 2007-01-24 08:31:52 Control theory Electronic engineering Linear filters Monte Carlo methods Robot navigation Extended Kalman filter Simultaneous localization and mapping Particle filter Kalman filter Robot control Statistics Estimation theory