One-dimensional space

Results: 22



#Item
1Shadow: One-dimensional Proactive Sensing for Enlarging Gesture-interaction Space Yung-Ta Lin National Taiwan University Taipei, 10617, TW

Shadow: One-dimensional Proactive Sensing for Enlarging Gesture-interaction Space Yung-Ta Lin National Taiwan University Taipei, 10617, TW

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Source URL: aui16.files.wordpress.com

- Date: 2016-10-15 22:52:27
    2Mookherjee EC 721  Ec721 PROBLEM SET 3 1. Suppose the policy space is a one dimensional real variable p, there are a finite (odd) number of voters each with single peaked preferences, with a median ideal point p∗M . Tw

    Mookherjee EC 721 Ec721 PROBLEM SET 3 1. Suppose the policy space is a one dimensional real variable p, there are a finite (odd) number of voters each with single peaked preferences, with a median ideal point p∗M . Tw

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    Source URL: people.bu.edu

    - Date: 2015-11-03 10:34:15
      3Mookherjee EC 721  Ec721 PROBLEM SET 3 SOLUTIONS 1. Suppose the policy space is a one dimensional real variable p, there are a finite (odd) number of voters each with single peaked preferences, with a median ideal point

      Mookherjee EC 721 Ec721 PROBLEM SET 3 SOLUTIONS 1. Suppose the policy space is a one dimensional real variable p, there are a finite (odd) number of voters each with single peaked preferences, with a median ideal point

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      Source URL: people.bu.edu

      Language: English - Date: 2015-11-11 14:55:31
      4Algorithm 6 Intersect  Write out both of the cone-ray intersect equations in terms of t and solve fort. Remember, there are two equations: one for the body of the cone, and one for the bottom cap. For your cone, use the

      Algorithm 6 Intersect Write out both of the cone-ray intersect equations in terms of t and solve fort. Remember, there are two equations: one for the body of the cone, and one for the bottom cap. For your cone, use the

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      Source URL: cs.brown.edu

      Language: English - Date: 2015-10-29 13:29:44
      5SEMI-DISCRETE CONSTANT MEAN CURVATURE SURFACES ¨ CHRISTIAN MULLER Abstract. We study semi-discrete surfaces in three dimensional euclidean space which are defined on a parameter domain consisting of one smooth and one d

      SEMI-DISCRETE CONSTANT MEAN CURVATURE SURFACES ¨ CHRISTIAN MULLER Abstract. We study semi-discrete surfaces in three dimensional euclidean space which are defined on a parameter domain consisting of one smooth and one d

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      Source URL: www.geometrie.tuwien.ac.at

      Language: English - Date: 2015-10-29 14:43:33
        6International Journal of Solids and Structures±1148  www.elsevier.com/locate/ijsolstr Macro- and micro-cracking in one-dimensional elasticity Gianpietro Del Piero a, Lev Truskinovsky b,*

        International Journal of Solids and Structures±1148 www.elsevier.com/locate/ijsolstr Macro- and micro-cracking in one-dimensional elasticity Gianpietro Del Piero a, Lev Truskinovsky b,*

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        Source URL: hera.polytechnique.fr

        Language: English - Date: 2011-05-26 06:03:33
        7Calculation of Mappings Between One and n-dimensional Values Using the Hilbert Space-lling Curve? J K Lawder School of Computer Science and Information Systems, Birkbeck College, University of London,

        Calculation of Mappings Between One and n-dimensional Values Using the Hilbert Space- lling Curve? J K Lawder School of Computer Science and Information Systems, Birkbeck College, University of London,

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        Source URL: www.dcs.bbk.ac.uk

        Language: English - Date: 2000-12-01 11:13:08
        8CCCG 2010, Winnipeg MB, August 9–11, 2010  Computing Minimum Limited-Capacity Matching in one-Dimensional space and for the Points Lying on Two Perpendicular Lines Fatemeh Panahi∗

        CCCG 2010, Winnipeg MB, August 9–11, 2010 Computing Minimum Limited-Capacity Matching in one-Dimensional space and for the Points Lying on Two Perpendicular Lines Fatemeh Panahi∗

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        Source URL: cccg.ca

        Language: English - Date: 2010-07-19 10:46:19
        9The helical coordinate Jon Claerbout For many years, it has been true that our most powerful signal-analysis techniques are in one-dimensional space, while our most important applications are in multi dimensional space.

        The helical coordinate Jon Claerbout For many years, it has been true that our most powerful signal-analysis techniques are in one-dimensional space, while our most important applications are in multi dimensional space.

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        Source URL: www.reproducibility.org

        Language: English - Date: 2015-03-25 18:21:52
        10Econometrics / Probability theory / Variance / Least squares / Matrix / Linear map / Degrees of freedom / Data transformation / Experimental uncertainty analysis / Statistics / Data analysis / Regression analysis

        Linear Conformal Mapping The goal of this exercise is to derive a linear transformation from one two-dimensional Euclidean space to another, given a set of points that are supposed to correspond. The transformation can i

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        Source URL: home.earthlink.net

        Language: English - Date: 2008-10-31 15:09:15