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Gaussian function
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#	Item
351	Two-photon optics of Bessel-Gaussian modes Melanie McLaren,1, 2 Jacquiline Romero,3 Miles J. Padgett,3 Filippus S. Roux,1 and Andrew Forbes1, 2, ∗ 1 CSIR National Laser Centre, P.O. Box 395, Pretoria 0001, South Africa Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-06-12 20:07:48 Quantum mechanics Quantum optics Axicon Lenses Bessel beam Gaussian beam Spontaneous parametric down-conversion Normal mode Gaussian function Physics Laser science Mathematical analysis
352	Geophys. J. Int[removed], 515–565 Gaussian statistics for palaeomagnetic vectors J. J. Love1 and C. G. Constable2 1 US Add to Reading List Source URL: geomag.usgs.gov Language: English - Date: 2012-11-01 16:39:54 Directional statistics Exponentials Gaussian function Gaussian process Mode Rice distribution Maximum likelihood Log-normal distribution Gamma distribution Statistics Normal distribution Summary statistics
353	Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2012-01-23 21:31:46 Vision Optics Scale-invariant feature transform Scale space Object recognition Feature detection Gaussian function Corner detection Scale invariance Computer vision Image processing Imaging
354	This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1 Spectrum-Time Estimat Add to Reading List Source URL: www.eecradar.com Language: English - Date: 2013-01-06 16:05:18 Wireless Weather radars Signal processing Storm OU-PRIME Clutter Atmospheric Radar Research Center Gaussian function Pulse repetition frequency Radar Meteorology Atmospheric sciences
355	CMSC 426 Problem Set 2 Due: Tuesday, March 4, 2003, 11:00, at the start of class. Email all Matlab code to the TA before 11:00 also. Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2003-02-21 12:26:08 Canny edge detector Mathematics Edge detection Artificial intelligence Statistics Gaussian blur Scale space implementation Image processing Computer vision Gaussian function
356	Problem Set 3 CMSC 426 Due: Thursday, April 3 Overview: This problem set will work a little different. There will be a standard part, and an advanced part. Students may choose to do either part. Alternately, they may cho Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2003-03-18 11:02:20 Normal distribution Hough transform Multivariate statistics Estimation theory Gaussian function Graham scan Statistics Computer vision RANSAC
357	New Concepts in Wind Power Forecasting Models Vladimiro Miranda, Ricardo Bessa, João Gama, Guenter Conzelmann, Audun Botterud 1 Abstract − This paper reports new results in adopting entropy concepts to the training of Add to Reading List Source URL: www.dis.anl.gov Language: English - Date: 2010-12-02 18:33:21 Regression analysis Philosophy of thermal and statistical physics Information theory Wind power forecasting Entropy Forecasting Errors and residuals in statistics Normal distribution Gaussian function Statistics Statistical theory Data analysis
358	U.S. Department of Commerce National Oceanic and Atmospheric Administration National Weather Service National Centers for Environmental Prediction 5200 Auth Road Camp Springs, MD[removed] Add to Reading List Source URL: www.lib.ncep.noaa.gov Language: English - Date: 2002-01-22 02:34:21 Image processing Gaussian function Computer vision Linear filters Covariance and correlation Data assimilation Gaussian filter Convolution Digital filter Statistics Mathematics Mathematical analysis
359	Practice Midterm CMSC 426 The midterm will cover material up to and including background subtraction. Here are some topics it will be helpful to master for the midterm:  Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2010-03-18 10:16:21 Computer vision Computer graphics Gaussian function Histogram equalization Kernel density estimation Gaussian filter Histogram Edge detection Filter Image processing Statistics Non-parametric statistics
360	Problem Set 3 CMSC 426 Due: Thursday, April 3 Overview: This problem set will work a little different. There will be a standard part, and an advanced part. Students may choose to do either part. Alternately, they may Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2003-03-18 10:59:34 Normal distribution Variance Multivariate statistics Computer vision Gaussian function Graham scan Statistics RANSAC Data analysis

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