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Gaussian filter
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#	Item
81	Multiscale Shape and Detail Enhancement from Multi-light Image Collections Raanan Fattal∗ University of California, Berkeley Maneesh Agrawala† University of California, Berkeley Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2007-05-24 14:50:04 Vision Signal processing Bilateral filter Edge detection Rendering Gaussian filter Computer graphics Tone mapping Electronic engineering Image processing Computer vision 3D computer graphics
82	Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals Christian Plagemann 1 Dieter Fox 2 Add to Reading List Source URL: www.service-robotik-initiative.de Language: English - Date: 2007-11-05 10:06:33 Electronic engineering Control theory Robot control Linear filters Monte Carlo methods Particle filter Recursive Bayesian estimation Gaussian process Collision Statistics Signal processing Estimation theory
83	Stochastic Differential Dynamic Programming Evangelos Theodorou, Yuval Tassa & Emo Todorov Abstract— Although there has been a significant amount of work in the area of stochastic optimal control theory towards the dev Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2010-07-12 20:52:39 Stochastic processes Differential equations Kalman filter Robot control Differential of a function Optimal control ΔT Additive white Gaussian noise Stochastic differential equation Statistics Calculus Mathematical analysis
84	Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders Christian Plagemann Kristian Kersting Add to Reading List Source URL: www.service-robotik-initiative.de Language: English - Date: 2007-11-05 10:05:11 Gaussian beam Normal distribution Maximum likelihood Kriging Expectation–maximization algorithm Kalman filter Gaussian function Statistics Estimation theory Gaussian process
85	Path Integral Based Stochastic Optimal Control for Rigid Body Dynamics E. A. Theodorou, J. Buchli and S. Schaal* Abstract— Recent advances on path integral stochastic optimal control [2],[3] provide new insights on Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2008-11-19 19:29:46 Optimal control Stochastic control Mathematical optimization Operations research Hamilton–Jacobi–Bellman equation Linear-quadratic-Gaussian control Dynamic programming Path integral formulation Kalman filter Control theory Systems theory Cybernetics
86	Non-‐Gaussian Data Assimila0on using Mixture and Kernel Piyush Tagade Hansjorg Seybold Sai Ravela Add to Reading List Source URL: www.dddas.org Language: English - Date: 2014-06-10 20:51:17 Electronic engineering Bayesian statistics Estimation theory Monte Carlo methods Markov models Ensemble Kalman filter Kalman filter Statistics Linear filters Control theory
87	Generated using version 3.0 of the official AMS LATEX template A Moment Matching Particle Filter for Nonlinear Non-Gaussian Data Assimilation Jing Lei Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2010-10-30 14:20:56 Electronic engineering Monte Carlo methods Linear filters Robot control Bayesian statistics Ensemble Kalman filter Particle filter Kalman filter Data assimilation Statistics Estimation theory Control theory
88	An Ensemble Kalman-Particle Predictor-Corrector Filter for Non-Gaussian Data Assimilation Jan Mandel1,2 and Jonathan D. Beezley1,2 1 Add to Reading List Source URL: www.dddas.org Language: English - Date: 2013-02-17 17:13:53 Electronic engineering Control theory Bayesian statistics Robot control Monte Carlo methods Ensemble Kalman filter Kalman filter Particle filter Data assimilation Statistics Linear filters Estimation theory
89	C Blackwell Munksgaard, 2003 Copyright Tellus (2003), 55A, 126–147 Printed in UK. All rights reserved Add to Reading List Source URL: www.gfdl.noaa.gov Language: English - Date: 2008-02-04 13:56:07 Control theory Estimation theory Bayesian statistics Ensemble Kalman filter Data assimilation Kalman filter Covariance Sample mean and sample covariance Gaussian process Statistics Linear filters Covariance and correlation
90	Detector Statistics and Interpretation of Image Data Joseph Plowman High Altitude Observatory, National Center for Atmospheric Research [removed] This is often ignored when analyzing solar image sequences, even Add to Reading List Source URL: www.stce.be Language: English - Date: 2014-08-15 02:29:44 Electrical engineering Gaussian function Noise Optics Gaussian blur Image noise Noise reduction Shot noise Median filter Image processing Computer vision Signal processing

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