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71CMSC 754 Computational Geometry1 David M. Mount Department of Computer Science University of Maryland Spring 2012

CMSC 754 Computational Geometry1 David M. Mount Department of Computer Science University of Maryland Spring 2012

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Source URL: www.cs.umd.edu

Language: English - Date: 2012-05-21 17:04:35
72Lower and Upper Competitive Bounds for Online Directed Graph ExplorationI Klaus-Tycho Foerstera,1,∗, Roger Wattenhofera a ETH  Z¨

Lower and Upper Competitive Bounds for Online Directed Graph ExplorationI Klaus-Tycho Foerstera,1,∗, Roger Wattenhofera a ETH Z¨

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Source URL: www.tik.ee.ethz.ch

Language: English - Date: 2016-02-08 07:16:33
73IEEE ROBOTICS AND AUTOMATION LETTERS. PREPRINT VERSION. DECEMBER, Lazy Data Association For Image Sequences Matching Under Substantial Appearance Changes

IEEE ROBOTICS AND AUTOMATION LETTERS. PREPRINT VERSION. DECEMBER, Lazy Data Association For Image Sequences Matching Under Substantial Appearance Changes

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Source URL: europa2.informatik.uni-freiburg.de

Language: English - Date: 2016-03-17 16:23:23
74Pooh’s EnclyclopediaRating: fun Think about how search engines work while helping Whinnie the Pooh and his friends solve their problems. Problem:

Pooh’s EnclyclopediaRating: fun Think about how search engines work while helping Whinnie the Pooh and his friends solve their problems. Problem:

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Source URL: www.nacloweb.org

Language: English - Date: 2014-09-03 17:45:41
    75CS188 Spring 2012 Section 2: A* Search 1 Pancake Heuristics  Here, we consider the pancake problem. A server is given a stack of n pancakes. Each pancake is a different

    CS188 Spring 2012 Section 2: A* Search 1 Pancake Heuristics Here, we consider the pancake problem. A server is given a stack of n pancakes. Each pancake is a different

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    Source URL: inst.eecs.berkeley.edu

    Language: English - Date: 2012-02-01 01:28:54
      761  3D Motion Planning Algorithms for Steerable Needles Using Inverse Kinematics Vincent Duindam1

      1 3D Motion Planning Algorithms for Steerable Needles Using Inverse Kinematics Vincent Duindam1

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      Source URL: goldberg.berkeley.edu

      Language: English - Date: 2009-09-08 00:16:43
      773D Motion Planning Algorithms for Steerable Needles Using Inverse Kinematics Vincent Duindam1 , Jijie Xu2 , Ron Alterovitz1,3 , Shankar Sastry1 , and Ken Goldberg1,2 1

      3D Motion Planning Algorithms for Steerable Needles Using Inverse Kinematics Vincent Duindam1 , Jijie Xu2 , Ron Alterovitz1,3 , Shankar Sastry1 , and Ken Goldberg1,2 1

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      Source URL: goldberg.berkeley.edu

      Language: English - Date: 2008-10-16 10:19:33
      78CS 493: Algorithms for Massive Data Sets Feb 21, Local Models, Bloom Filter

      CS 493: Algorithms for Massive Data Sets Feb 21, Local Models, Bloom Filter

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      Source URL: www.cs.princeton.edu

      Language: English - Date: 2002-03-15 13:15:13
      79greylag: software for tandem mass spectrum peptide identification  Greylag is a suite of programs for MS/MS peptide identification by sequence database search. It solves the same basic problem that programs such as SEQUE

      greylag: software for tandem mass spectrum peptide identification Greylag is a suite of programs for MS/MS peptide identification by sequence database search. It solves the same basic problem that programs such as SEQUE

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      Source URL: greylag.org

      Language: English - Date: 2009-11-02 09:32:36
      80CSc 220: Algorithms Homework 5 Solutions Problem 1: We saw in class that given a binary search tree with n elements, we can output the elements in sorted order using a O(n) in-order tree walk. Use this fact and the Ω(n

      CSc 220: Algorithms Homework 5 Solutions Problem 1: We saw in class that given a binary search tree with n elements, we can output the elements in sorted order using a O(n) in-order tree walk. Use this fact and the Ω(n

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      Source URL: www-cs.ccny.cuny.edu

      Language: English - Date: 2015-10-18 01:58:18