Gaussian filter

Results: 175



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1Illumination of Linear Variable Filters with a laser beam The intensity distribution in the laser beam from a super continuum light-source is assumed to be purely Gaussian. The spot size on the linear variable filter is

Illumination of Linear Variable Filters with a laser beam The intensity distribution in the laser beam from a super continuum light-source is assumed to be purely Gaussian. The spot size on the linear variable filter is

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Source URL: www.deltaopticalthinfilm.com

Language: English
    2Using Gaussian Process Annealing Particle Filter for 3D Human Tracking Leonid Raskin, Ehud Rivlin, Michael Rudzsky Computer Science Department,Technion Israel Institute of Technology, Technion City, Haifa, Israel {raskin

    Using Gaussian Process Annealing Particle Filter for 3D Human Tracking Leonid Raskin, Ehud Rivlin, Michael Rudzsky Computer Science Department,Technion Israel Institute of Technology, Technion City, Haifa, Israel {raskin

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    Source URL: www.cs.technion.ac.il

    - Date: 2008-05-10 16:34:14
      3Gaussian sampling by local perturbations George Papandreou Department of Statistics University of California, Los Angeles

      Gaussian sampling by local perturbations George Papandreou Department of Statistics University of California, Los Angeles

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      Source URL: www.stat.ucla.edu

      Language: English - Date: 2010-10-31 18:18:15
      4Suppose that investors observe signals (like accounting data) that noisily reflect the true value of the firm:

      Suppose that investors observe signals (like accounting data) that noisily reflect the true value of the firm:

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      Source URL: www.econ.ohio-state.edu

      Language: English - Date: 2012-01-12 12:02:17
      5MOTION BLUR COMPENSATION IN HEVC USING FIXED-LENGTH ADAP TIVE FILTER Yiqun Liu, Wei Wu and J6rn Ostermann Institut fUr Informationsverarbeitung Gottfried Wilhelm Leibniz Universitat Hannover, Germany {liuyiqun, office}@t

      MOTION BLUR COMPENSATION IN HEVC USING FIXED-LENGTH ADAP TIVE FILTER Yiqun Liu, Wei Wu and J6rn Ostermann Institut fUr Informationsverarbeitung Gottfried Wilhelm Leibniz Universitat Hannover, Germany {liuyiqun, office}@t

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      Source URL: www.tnt.uni-hannover.de

      Language: English - Date: 2016-03-21 09:57:05
      6LNCSRolling Guidance Filter

      LNCSRolling Guidance Filter

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      Source URL: xiaoyongshen.me

      Language: English - Date: 2016-08-15 22:44:00
      7Online version of T.E.Boult and G.Wolberg. “Local Image Reconstruction and Sub-Pixel Restoration Algorithms.” Computer graphics and image processing: Graphical models and Image processing (CVGIP:GMIP), Vol 55, No. 1.

      Online version of T.E.Boult and G.Wolberg. “Local Image Reconstruction and Sub-Pixel Restoration Algorithms.” Computer graphics and image processing: Graphical models and Image processing (CVGIP:GMIP), Vol 55, No. 1.

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      Source URL: www.vast.uccs.edu

      Language: English - Date: 2003-12-24 21:58:14
      8Adaptive Collective Routing Using Gaussian Process Dynamic Congestion Models Siyuan Liu, Yisong Yue, Ramayya Krishnan Carnegie Mellon University {siyuan,yisongyue,rk2x}@cmu.edu

      Adaptive Collective Routing Using Gaussian Process Dynamic Congestion Models Siyuan Liu, Yisong Yue, Ramayya Krishnan Carnegie Mellon University {siyuan,yisongyue,rk2x}@cmu.edu

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      Source URL: www.utc.ices.cmu.edu

      Language: English - Date: 2014-10-10 12:11:58
      9Applications of satellite and airborne image data to coastal management Part 4 9. Image menu The Image menu initially offers two options: • Connect which allows the joining of images for multiple image analysis;

      Applications of satellite and airborne image data to coastal management Part 4 9. Image menu The Image menu initially offers two options: • Connect which allows the joining of images for multiple image analysis;

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      Source URL: cwcaribbean.aoml.noaa.gov

      Language: English - Date: 2006-08-04 21:46:01
      10Project 3 Filter 2.1 This filter is pretty straightforward. All it has to do is invert the color of each pixel in the selected area. You should invert each of the red, green, and blue channels

      Project 3 Filter 2.1 This filter is pretty straightforward. All it has to do is invert the color of each pixel in the selected area. You should invert each of the red, green, and blue channels

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      Source URL: cs.brown.edu

      Language: English - Date: 2015-09-02 15:51:30