Gaussian function - PDFSEARCH.IO - Document Search Engine

Gaussian function
Results: 531

#	Item
191	Nonlinear directed acyclic structure learning with weakly additive noise models Peter Spirtes Arthur Gretton Robert E. Tillman Add to Reading List Source URL: www.hss.cmu.edu Language: English - Date: 2014-03-03 17:25:01 Exponentials Gaussian function Additive white Gaussian noise Independent component analysis Regression analysis Statistics Statistical models Signal processing
192	Introduction Error Analysis in Experimental Physical Science Author This document is Copyright © 2001, 2004 David M. Harrison, Department of Physics, Add to Reading List Source URL: www.upscale.utoronto.ca Language: English - Date: 2011-09-10 14:36:11 Summary statistics Statistical inference Normal distribution Standard deviation Gaussian function Errors and residuals in statistics Variance Probability Statistical hypothesis testing Statistics Data analysis Probability and statistics
193	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 44, NO. 6, JUNE[removed]Spectral Curve Fitting for Automatic Hyperspectral Data Analysis Add to Reading List Source URL: abrown.seti.org Language: English - Date: 2006-08-30 16:46:58 Scientific method Hyperspectral imaging Imaging spectroscopy Absorption band Infrared Absorption spectroscopy Gaussian function Interpolation Spectral line Spectroscopy Chemistry Science
194	A Hamiltonian approach to the adjoint technique (with application to a Variational Gaussian Process Approximation) Renata Retkute and Ian Roulstone Department of Mathematics Add to Reading List Source URL: gmao.gsfc.nasa.gov Language: English - Date: 2009-05-28 10:41:52 Symplectic integrator Spray Chebyshev function Physics Hamiltonian mechanics Theoretical physics
195	A multiple model probability hypothesis density tracker for time-lapse cell microscopy sequences Seyed Hamid Rezatoﬁghi1,2 , Stephen Gould1 , Ba-Ngu Vo3 , Katarina Mele2 , William E. Hughes4,5 , and Richard Hartley1,6 Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-04-01 21:37:53 Cluster analysis Machine learning Mixture model Markov chain Statistics Probability and statistics Gaussian function
196	Bayesian Optimisation for Informative Continuous Path Planning Roman Marchant and Fabio Ramos Abstract— Environmental monitoring with mobile robots requires solving the informative path planning problem. A key challeng Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:47 Motion planning Theoretical computer science Gaussian process Mixture model Regression analysis Robotics Variance Gaussian function Statistics Stochastic processes Statistical models
197	2012 IEEE/RSJ International Conference on Intelligent Robots and Systems October 7-12, 2012. Vilamoura, Algarve, Portugal Bayesian Optimisation for Intelligent Environmental Monitoring Roman Marchant and Fabio Ramos Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:39 Covariance and correlation Data analysis Root-mean-square deviation Gaussian process Normal distribution Covariance function Variance Spatial analysis Regression analysis Statistics Geostatistics Spatial data analysis
198	Tracer Selection for Tracking in Water Vapour Images Angeles Hernandez-Carrascal School of Systems Engineering 10 Inter. Winds Workshop Add to Reading List Source URL: cimss.ssec.wisc.edu Language: English - Date: 2010-03-02 03:21:04 Tracer Carrascal Surigao del Sur Gaussian function Image processing Gaussian blur
199	Multi-Task Learning of System Dynamics with Maximum Information Gain Jose F. Zubizarreta-Rodriguez and Fabio Ramos Australian Centre for Field Robotics, School of Information Technologies The University of Sydney, Austra Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:42 Exponentials Gaussian function Supervised learning Normal distribution Kriging Regression analysis Gaussian process Covariance matrix Control theory Statistics Data analysis Interpolation
200	Multi-Modal Estimation with Kernel Embeddings for Learning Motion Models Lachlan McCalman1 , Simon O’Callaghan2 and Fabio Ramos3 Abstract— We present a novel estimation algorithm for filtering and regression with a n Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:35 Robot control Linear filters Markov models Particle filter Kalman filter Hidden Markov model Mixture model Gaussian function Bayesian inference Statistics Bayesian statistics Estimation theory

UPDATE