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Gaussian filter
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#	Item
101	Gaussian Belief Space Planning for Imprecise Articulated Robots Alex Lee Sachin Patil John Schulman Zoe McCarthy Jur van den Berg Ken Goldberg Pieter Abbeel Abstract— For many emerging applications, actuators are being Add to Reading List Source URL: ieor.berkeley.edu Language: English - Date: 2013-04-30 13:17:31 Control theory Motion planning Trajectory optimization Partially observable Markov decision process Kalman filter Collision detection Optimal control Normal distribution Robot Mathematical optimization Statistics Applied mathematics
102	Proposal/Contract no.: [removed]Project start: September 1, 2006 Project end: August 31, 2009 INTAMAP Interoperability and Automated Mapping Add to Reading List Source URL: www.intamap.org Language: English - Date: 2009-11-09 05:05:53 Bayesian statistics Robot control Computational statistics Variational Bayesian methods Particle filter Normal distribution Marginal likelihood Gaussian process Importance sampling Statistics Estimation theory Monte Carlo methods
103	Quality Feature Definitions Add to Reading List Source URL: biometrics.nist.gov Language: English - Date: 2012-03-01 15:04:41 Image processing Gaussian filter Mathematics Computer vision Gaussian function Linear filters Gabor filter
104	Development of NFIQ 2.0 Quality Feature Definitions Version 0.5 Development of NFIQ 2.0 Add to Reading List Source URL: biometrics.nist.gov Language: English - Date: 2012-06-06 18:03:10 Gaussian function Segmentation Mathematics Linear filters Gabor filter Image processing
105	Non-Gaussian Belief Space Planning: Correctness and Complexity Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, Russ Tedrake Abstract— We consider the partially observable control problem where it is potentially nec Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:18:06 Estimation theory Robot control Probability and statistics Normal distribution Particle filter Pi Statistics Mathematical analysis Monte Carlo methods
106	Efficient planning in non-Gaussian belief spaces and its application to robot grasping Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, and Russ Tedrake Abstract The limited nature of robot sensors make many important Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2011-10-05 18:46:47 Robot control Cybernetics Linear filters Markov models Kalman filter Particle filter Partially observable Markov decision process Normal distribution Recursive Bayesian estimation Statistics Control theory Estimation theory
107	Belief space planning assuming maximum likelihood observations Robert Platt Jr., Russ Tedrake, Leslie Kaelbling, Tomas Lozano-Perez Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Techn Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2010-06-04 04:19:00 Estimation theory Optimal control Stochastic control Robot control Kalman filter Partially observable Markov decision process Linear-quadratic-Gaussian control Algebraic Riccati equation Maximum likelihood Control theory Systems theory Cybernetics
108	Raster & Image Processing: Smoothing and Noise Removal Filters Add to Reading List Source URL: www.microimages.com Language: English - Date: 2014-05-22 11:16:39 Gaussian function Electrical engineering Linear filters Filter theory Gaussian blur Gaussian filter Noise reduction Median filter Smoothing Image processing Signal processing Electronic engineering
109	Efficient planning in non-Gaussian belief spaces and its application to robot grasping Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, and Russ Tedrake Abstract The limited nature of robot sensors make many important Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:55 Robot control Cybernetics Linear filters Markov models Kalman filter Particle filter Partially observable Markov decision process Normal distribution Recursive Bayesian estimation Statistics Control theory Estimation theory
110	A Fast Approximation of the Bilateral Filter using a Signal Processing Approach Sylvain Paris Fr´edo Durand Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2009-06-25 19:53:32 Mathematical analysis Image processing Gaussian function Linear filters Signal processing Gaussian filter Bilateral filter Filter Convolution Mathematics Electronic engineering Filter theory

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