Parametrization

Results: 165



#Item
1b (after Vogan) A parametrization of K Peter E. Trapa Notes from an AIM workshop, July 2004

b (after Vogan) A parametrization of K Peter E. Trapa Notes from an AIM workshop, July 2004

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Source URL: www.liegroups.org

Language: English - Date: 2004-10-07 15:08:01
    2Ann Inst Stat Math:787–803 DOIs10463x Approximate theory-aided robust efficient factorial fractions under baseline parametrization Rahul Mukerjee · S. Huda

    Ann Inst Stat Math:787–803 DOIs10463x Approximate theory-aided robust efficient factorial fractions under baseline parametrization Rahul Mukerjee · S. Huda

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    Source URL: www.ism.ac.jp

    - Date: 2016-08-02 06:58:13
      3Test design under voluntary participation Supplementary material Frank Rosar University of Bonn April 27, Parametrization of HARA utility

      Test design under voluntary participation Supplementary material Frank Rosar University of Bonn April 27, Parametrization of HARA utility

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      Source URL: www.frankrosar.de

      Language: English - Date: 2016-04-27 09:03:03
        4Integrated geometry parametrization and grid movement using B-spline meshes Jason E. Hicken∗ and David W. Zingg †

        Integrated geometry parametrization and grid movement using B-spline meshes Jason E. Hicken∗ and David W. Zingg †

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        Source URL: homepages.rpi.edu

        Language: English - Date: 2012-07-05 17:15:04
        5Manifold learning algorithms aim to recover the underlying lowdimensional parametrization of the data using either local or global features. It is however widely recognized that the low dimensional parametrizations will

        Manifold learning algorithms aim to recover the underlying lowdimensional parametrization of the data using either local or global features. It is however widely recognized that the low dimensional parametrizations will

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        Source URL: mmds-data.org

        Language: English - Date: 2016-06-23 15:50:48
        6P1: JSN International Journal of Computer Vision KL551-02-Baker  February 18, 1998

        P1: JSN International Journal of Computer Vision KL551-02-Baker February 18, 1998

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        Source URL: www.cs.columbia.edu

        Language: English - Date: 2005-07-10 19:12:17
        7Hough Parameter Space Regularisation for Line Detection in 3D Manuel Jeltsch1 , Christoph Dalitz1 and Regina Pohle-Fr¨ohlich1 1  Institute for Pattern Recognition, Niederrhein University of Applied Sciences,

        Hough Parameter Space Regularisation for Line Detection in 3D Manuel Jeltsch1 , Christoph Dalitz1 and Regina Pohle-Fr¨ohlich1 1 Institute for Pattern Recognition, Niederrhein University of Applied Sciences,

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        Source URL: lionel.kr.hs-niederrhein.de

        Language: English - Date: 2016-03-24 02:46:13
        8Lab Exercise: Basis functions for seismic tomography GEOS 626: Applied Seismology, Carl Tape Last compiled: March 30, 2016 Model parameterization A tomographic model is typically described in terms of a perturbation in w

        Lab Exercise: Basis functions for seismic tomography GEOS 626: Applied Seismology, Carl Tape Last compiled: March 30, 2016 Model parameterization A tomographic model is typically described in terms of a perturbation in w

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        Source URL: www.giseis.alaska.edu

        Language: English - Date: 2016-03-30 18:22:03
        9Nat. Hazards Earth Syst. Sci., 8, 991–1000, 2008 www.nat-hazards-earth-syst-sci.net/ © Author(sThis work is distributed under the Creative Commons Attribution 3.0 License.  Natural Hazards

        Nat. Hazards Earth Syst. Sci., 8, 991–1000, 2008 www.nat-hazards-earth-syst-sci.net/ © Author(sThis work is distributed under the Creative Commons Attribution 3.0 License. Natural Hazards

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        Source URL: cervone.psu.edu

        Language: English - Date: 2015-11-18 09:12:45
        10Microsoft Word - SKEB_revision_2_v2.docx

        Microsoft Word - SKEB_revision_2_v2.docx

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        Source URL: twister.ou.edu

        Language: English - Date: 2015-09-30 16:15:02