Courant Institute of Mathematical Sciences

Results: 322



#Item
21Dimensionality Reduction by Learning an Invariant Mapping Raia Hadsell, Sumit Chopra, Yann LeCun The Courant Institute of Mathematical Sciences New York University, 719 Broadway, New York, NY 1003, USA. http://www.cs.nyu

Dimensionality Reduction by Learning an Invariant Mapping Raia Hadsell, Sumit Chopra, Yann LeCun The Courant Institute of Mathematical Sciences New York University, 719 Broadway, New York, NY 1003, USA. http://www.cs.nyu

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Source URL: yann.lecun.com

Language: English - Date: 2006-02-28 22:05:16
22Mathematics at the University of California, Riverside ABOUT THE DEPARTMENT OF MATHEMATICS The Department of Mathematics focuses on providing a solid scientific education to enable its graduates to enter a variety of car

Mathematics at the University of California, Riverside ABOUT THE DEPARTMENT OF MATHEMATICS The Department of Mathematics focuses on providing a solid scientific education to enable its graduates to enter a variety of car

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Source URL: cnasstudent.ucr.edu

Language: English - Date: 2015-12-04 13:08:29
23Traffic Sign Recognition with Multi-Scale Convolutional Networks Pierre Sermanet and Yann LeCun Courant Institute of Mathematical Sciences, New York University {sermanet,yann}@cs.nyu.edu Abstract— We apply Convolutiona

Traffic Sign Recognition with Multi-Scale Convolutional Networks Pierre Sermanet and Yann LeCun Courant Institute of Mathematical Sciences, New York University {sermanet,yann}@cs.nyu.edu Abstract— We apply Convolutiona

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Source URL: yann.lecun.com

Language: English - Date: 2011-06-20 19:03:42
    241 On Various Abstract Understandings of Abstract Interpretation Patrick C OUSOT Courant Institute of Mathematical Sciences

    1 On Various Abstract Understandings of Abstract Interpretation Patrick C OUSOT Courant Institute of Mathematical Sciences

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    Source URL: cs.nyu.edu

    Language: English - Date: 2015-09-17 11:43:27
      25Efficient Learning of Sparse Representations with an Energy-Based Model Marc’Aurelio Ranzato Christopher Poultney Sumit Chopra Yann LeCun Courant Institute of Mathematical Sciences New York University, New York, NY 100

      Efficient Learning of Sparse Representations with an Energy-Based Model Marc’Aurelio Ranzato Christopher Poultney Sumit Chopra Yann LeCun Courant Institute of Mathematical Sciences New York University, New York, NY 100

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      Source URL: machinelearning.wustl.edu

      Language: English - Date: 2013-03-25 13:58:10
        26Learning Invariant Features through Topographic Filter Maps Koray Kavukcuoglu Marc’Aurelio Ranzato Rob Fergus Courant Institute of Mathematical Sciences New York University

        Learning Invariant Features through Topographic Filter Maps Koray Kavukcuoglu Marc’Aurelio Ranzato Rob Fergus Courant Institute of Mathematical Sciences New York University

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        Source URL: cs.nyu.edu

        Language: English - Date: 2009-04-02 02:41:38
          27Convolutional Networks and Applications in Vision Yann LeCun, Koray Kavukcuoglu and Cl´ement Farabet Computer Science Department, Courant Institute of Mathematical Sciences, New York University {yann,koray,cfarabet}@cs.

          Convolutional Networks and Applications in Vision Yann LeCun, Koray Kavukcuoglu and Cl´ement Farabet Computer Science Department, Courant Institute of Mathematical Sciences, New York University {yann,koray,cfarabet}@cs.

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          Source URL: koray.kavukcuoglu.org

          Language: English - Date: 2016-06-17 02:02:41
            28UNSUPERVISED LEARNING OF SPARSE FEATURES FOR SCALABLE AUDIO CLASSIFICATION Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu and Yann LeCun Courant Institute of Mathematical Sciences New York University ; ya

            UNSUPERVISED LEARNING OF SPARSE FEATURES FOR SCALABLE AUDIO CLASSIFICATION Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu and Yann LeCun Courant Institute of Mathematical Sciences New York University ; ya

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            Source URL: yann.lecun.com

            Language: English - Date: 2011-08-21 02:28:55
              29Learning Invariant Features through Topographic Filter Maps Koray Kavukcuoglu Marc’Aurelio Ranzato Rob Fergus Courant Institute of Mathematical Sciences New York University

              Learning Invariant Features through Topographic Filter Maps Koray Kavukcuoglu Marc’Aurelio Ranzato Rob Fergus Courant Institute of Mathematical Sciences New York University

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              Source URL: koray.kavukcuoglu.org

              Language: English - Date: 2016-06-17 02:02:41
                30Deep Belief Net Learning in a Long-Range Vision System for Autonomous Off-Road Driving Raia Hadsell1 Ayse Erkan1 Pierre Sermanet1,2 Marco Scoffier2 Urs Muller2 Yann LeCun1 (1) Courant Institute of Mathematical Sciences N

                Deep Belief Net Learning in a Long-Range Vision System for Autonomous Off-Road Driving Raia Hadsell1 Ayse Erkan1 Pierre Sermanet1,2 Marco Scoffier2 Urs Muller2 Yann LeCun1 (1) Courant Institute of Mathematical Sciences N

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                Source URL: sermanet.free.fr

                Language: English - Date: 2008-08-26 09:06:08