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Particle filter
Results: 393

#	Item
351	ILASS Americas 18th Annual Conference on Liquid Atomization and Spray Systems, Irvine, CA, May[removed]LES-Style Filtering and Partly-Resolved Particles Brooks Moses∗ and Chris Edwards Department of Mechanical Engineerin Add to Reading List Source URL: dpdx.net Language: English - Date: 2005-08-24 01:37:06 Turbulence models Turbulence Continuum mechanics Large eddy simulation Particle-laden flows Turbulence modeling Momentum Viscosity Filter Physics Fluid dynamics Fluid mechanics
352	NEW Blue & Black IMP Logo 2 Add to Reading List Source URL: www.intelligentmp.com Language: English - Date: 2014-01-22 10:08:00 Fluorescence Microfluidics Physics Science Nanotechnology Particle image velocimetry Filter Chemical imaging Centrifugal Micro-fluidic Biochip Chemistry Fluid dynamics Spectroscopy
353	OH et al.: MARKOV CHAIN MONTE CARLO DATA ASSOCIATION FOR MULTIPLE-TARGET TRACKING 1 Markov Chain Monte Carlo Data Association for Multiple-Target Tracking Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-07-14 20:46:46 Computational statistics Robot control Markov processes Markov chain Particle filter Kalman filter Stochastic process Metropolis–Hastings algorithm Estimation theory Statistics Markov models Monte Carlo methods
354	Decayed MCMC Filtering Bhaskara Marthi, Hanna Pasula, Stuart Russell, Yuval Peres University of California, Berkeley Berkeley, CA[removed]bhaskara, pasula, russell @cs.berkeley.edu Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2002-11-25 00:38:31 Monte Carlo methods Computational statistics Statistical models Markov chain Monte Carlo Markov processes Markov chain Particle filter Gibbs sampling Stochastic process Statistics Probability and statistics Markov models
355	The Extended Parameter Filter Yusuf B. Erol† Lei Li† Bharath Ramsundar Computer Science Department, Stanford University Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-05-28 02:44:09 Statistical theory Particle filter Expectation–maximization algorithm Time complexity Kalman filter Sufficient statistic Identifiability Kullback–Leibler divergence Statistics Estimation theory Robot control
356	Dynamic Scaled Sampling for Deterministic Constraints Lei Li University of California, Berkeley [removed] Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-04-17 02:12:48 Bayesian statistics Poisson processes Probability theory Normal distribution Importance sampling Geometric distribution Particle filter Exponential distribution Markov chain Statistics Probability and statistics Monte Carlo methods
357	E.L. Foust Co., Inc. Welcome to the Foust Family! FOUST * AFM * EVERPURE * MULTIPURE * HURLEY * DENNYFOIL * SHURTAPE * REEL TAPE * SUPER-DRY DEHUMIDIFIER * NILFISK * FACE MASKS * E-Z-1 * PHENOSEAL * FRANMAR * NITRILE GLO Add to Reading List Source URL: www.foustco.com Language: English - Date: 2012-07-24 13:00:00 Manufacturing HEPA Dust Air filter Foust RC Particle Dehumidifier Filters Technology Chemistry
358	Mechanical and Aerospace Engineering MAE Seminar Series The Blind Tricyclist Problem and a Comparative Study of Nonlinear Filters Professor Mark Psiaki Add to Reading List Source URL: www.mae.buffalo.edu Language: English - Date: 2012-04-09 22:59:58 Estimation theory Statistics Filter theory Stochastic differential equations Extended Kalman filter Nonlinear filter Kalman filter Particle filter Linear filter Electronic engineering Control theory Robot control
359	AClass: An online algorithm for generative classification Vikash K. Mansinghka Add to Reading List Source URL: web.mit.edu Language: English - Date: 2007-02-15 00:42:08 Bayesian statistics Generative model Supervised learning Naive Bayes classifier Particle filter Bayesian inference Discriminative model Bayesian network Mixture model Statistics Machine learning Statistical models
360	Exact and Approximate Sampling by Systematic Stochastic Search Add to Reading List Source URL: web.mit.edu Language: English - Date: 2009-03-21 12:47:00 Gibbs sampling Particle filter Markov chain Monte Carlo Importance sampling Random variable Variance Bayesian network Resampling Rejection sampling Statistics Monte Carlo methods Probability and statistics

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