SVM

Results: 374



#Item
1SVM-Based Failure Detection of GHT Localizations T. Blaffert*a, C. Lorenz a, H. Nickisch a, J. Peters a, J. Weese a a Philips Research Laboratories, Hamburg, Germany ABSTRACT This paper addresses the localization of anat

SVM-Based Failure Detection of GHT Localizations T. Blaffert*a, C. Lorenz a, H. Nickisch a, J. Peters a, J. Weese a a Philips Research Laboratories, Hamburg, Germany ABSTRACT This paper addresses the localization of anat

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Source URL: hannes.nickisch.org

Language: English - Date: 2017-03-08 05:30:08
    2Face Replacement with HOG and SVM CISFinal Project - Fall 2015 Vidur S. Bhatnagar Prerna Srivastava

    Face Replacement with HOG and SVM CISFinal Project - Fall 2015 Vidur S. Bhatnagar Prerna Srivastava

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    Source URL: www.vidurbhatnagar.com

    Language: English - Date: 2017-06-12 11:39:40
      3Surrogate Functions for Maximizing Precision at the Top  A. Structural SVM Surrogate for prec@k The structural SVM surrogate for prec@k for a set of n points {(x1 , y1 ), . . . , (xn , yn )} ∈ (Rd × {0, 1})n and model

      Surrogate Functions for Maximizing Precision at the Top A. Structural SVM Surrogate for prec@k The structural SVM surrogate for prec@k for a set of n points {(x1 , y1 ), . . . , (xn , yn )} ∈ (Rd × {0, 1})n and model

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      Source URL: proceedings.mlr.press

      Language: English - Date: 2017-05-06 17:27:04
        4SMURF: A SVM-based Incremental Anti-pattern Detection Approach Abdou Maiga1,3 , Nasir Ali1,2 , Neelesh Bhattacharya1,2 , Aminata Saban´e1,2 Yann-Ga¨el Gu´eh´eneuc1 , and Esma Aimeur3 1 Ptidej Team & 2 Soccer Lab., DG

        SMURF: A SVM-based Incremental Anti-pattern Detection Approach Abdou Maiga1,3 , Nasir Ali1,2 , Neelesh Bhattacharya1,2 , Aminata Saban´e1,2 Yann-Ga¨el Gu´eh´eneuc1 , and Esma Aimeur3 1 Ptidej Team & 2 Soccer Lab., DG

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        Source URL: www.factrace.net

        Language: English - Date: 2016-03-22 16:27:19
          5SVM-Based Failure Detection of GHT Localizations Thomas Blaffert, Cristian Lorenz, Hannes Nickisch, Jochen Peters, Jürgen Weese Philips Research March 3, 2016

          SVM-Based Failure Detection of GHT Localizations Thomas Blaffert, Cristian Lorenz, Hannes Nickisch, Jochen Peters, Jürgen Weese Philips Research March 3, 2016

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          Source URL: hannes.nickisch.org

          Language: English - Date: 2017-03-08 05:33:09
            6Pacific Symposium on Biocomputing 7:THE SPECTRUM KERNEL: A STRING KERNEL FOR SVM PROTEIN CLASSIFICATION CHRISTINA LESLIE, ELEAZAR ESKIN, WILLIAM STAFFORD NOBLE a {cleslie,eeskin,noble}@cs.columbia.edu

            Pacific Symposium on Biocomputing 7:THE SPECTRUM KERNEL: A STRING KERNEL FOR SVM PROTEIN CLASSIFICATION CHRISTINA LESLIE, ELEAZAR ESKIN, WILLIAM STAFFORD NOBLE a {cleslie,eeskin,noble}@cs.columbia.edu

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            Source URL: psb.stanford.edu

            Language: English - Date: 2017-11-28 11:51:10
              7Robust Truncated Hinge Loss Support Vector Machines Yichao W U and Yufeng L IU The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its pop

              Robust Truncated Hinge Loss Support Vector Machines Yichao W U and Yufeng L IU The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its pop

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              Source URL: www.unc.edu

              Language: English - Date: 2007-09-14 17:32:27
                8View-Invariant Action Recognition using Latent Kernelized Structural SVM Xinxiao Wu and Yunde Jia Beijing Laboratory of Intelligent Information Technology School of Computer Science, Beijing Institute of Technology Beiji

                View-Invariant Action Recognition using Latent Kernelized Structural SVM Xinxiao Wu and Yunde Jia Beijing Laboratory of Intelligent Information Technology School of Computer Science, Beijing Institute of Technology Beiji

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                Source URL: iitlab.bit.edu.cn

                Language: English - Date: 2016-05-17 06:36:16
                  9Pegasos: Primal Estimated sub-GrAdient SOlver for SVM  Shai Shalev-Shwartz School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel Yoram Singer Google inc., Mountain View, USA and The Hebrew

                  Pegasos: Primal Estimated sub-GrAdient SOlver for SVM Shai Shalev-Shwartz School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel Yoram Singer Google inc., Mountain View, USA and The Hebrew

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                  Source URL: www.machinelearning.org

                  - Date: 2008-12-01 11:25:41