Ping Li

Results: 63



#Item
1Off-board Visual Odometry and Control of an Ultralight Quadrotor MAV Kun Li∗, Rui Huang, Swee King Phang, Shupeng Lai, Fei Wang, Ping Tan, Ben M. Chen and Tong Heng Lee Department of Electrical and Computer Engineering

Off-board Visual Odometry and Control of an Ultralight Quadrotor MAV Kun Li∗, Rui Huang, Swee King Phang, Shupeng Lai, Fei Wang, Ping Tan, Ben M. Chen and Tong Heng Lee Department of Electrical and Computer Engineering

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Source URL: www.imavs.org

Language: English - Date: 2016-10-25 08:53:39
    2Flora of China 16: 189–ASCLEPIADACEAE 萝沸科 luo mo ke Li Ping-tao1; Michael G. Gilbert2, W. Douglas Stevens3 Herbs, shrubs, or rarely treelike, with milky or, less often, clear latex. Leaves simple, opp

    Flora of China 16: 189–ASCLEPIADACEAE 萝沸科 luo mo ke Li Ping-tao1; Michael G. Gilbert2, W. Douglas Stevens3 Herbs, shrubs, or rarely treelike, with milky or, less often, clear latex. Leaves simple, opp

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    Source URL: flora.huh.harvard.edu

    Language: English - Date: 2016-09-08 12:20:11
      3Hashing Algorithms for Large-Scale Learning Ping Li Cornell University Anshumali Shrivastava

      Hashing Algorithms for Large-Scale Learning Ping Li Cornell University Anshumali Shrivastava

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      Source URL: papers.nips.cc

      - Date: 2014-04-23 13:39:58
        4Recovery of Coherent Data via Low-Rank Dictionary Pursuit Ping Li Department of Statistics and Biostatistics Department of Computer Science Rutgers University

        Recovery of Coherent Data via Low-Rank Dictionary Pursuit Ping Li Department of Statistics and Biostatistics Department of Computer Science Rutgers University

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        Source URL: papers.nips.cc

        - Date: 2014-12-02 20:42:17
          5Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data Ping Li Department of Statistics Stanford University Stanford, CA 94305

          Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data Ping Li Department of Statistics Stanford University Stanford, CA 94305

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          Source URL: papers.nips.cc

          - Date: 2014-04-23 14:27:33
            6McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li ∗ Dept. of Statistical Science Cornell University

            McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li ∗ Dept. of Statistical Science Cornell University

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            Source URL: papers.nips.cc

            - Date: 2014-04-23 14:10:04
              7JMLR: Workshop and Conference Proceedings vol 35:1–20, 2014 Compressed Counting Meets Compressed Sensing Ping Li PINGLI @ STAT. RUTGERS . EDU

              JMLR: Workshop and Conference Proceedings vol 35:1–20, 2014 Compressed Counting Meets Compressed Sensing Ping Li PINGLI @ STAT. RUTGERS . EDU

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              Source URL: jmlr.org

              - Date: 2014-05-28 14:26:58
                8Very Sparse Random Projections Ping Li Trevor J. Hastie Kenneth W. Church

                Very Sparse Random Projections Ping Li Trevor J. Hastie Kenneth W. Church

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                Source URL: www.stanford.edu

                - Date: 2006-09-28 16:29:11
                  9b-bit Marginal Regression Ping Li Department of Statistics and Biostatistics Department of Computer Science Rutgers University

                  b-bit Marginal Regression Ping Li Department of Statistics and Biostatistics Department of Computer Science Rutgers University

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                  Source URL: papers.nips.cc

                  - Date: 2016-02-11 21:04:00
                    10Educational and Psychological Measurement http://epm.sagepub.com Effects of Response Order on Likert-Type Scales Li-Jen Weng and Chung-Ping Cheng Educational and Psychological Measurement 2000; 60; 908

                    Educational and Psychological Measurement http://epm.sagepub.com Effects of Response Order on Likert-Type Scales Li-Jen Weng and Chung-Ping Cheng Educational and Psychological Measurement 2000; 60; 908

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                    Source URL: ntur.lib.ntu.edu.tw