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A New Method for Structured Learning with Privileged Information

  • Shiding Sun
  • Chunhua Zhang
  • Yingjie Tian
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10861)

Abstract

In this paper, we present a new method JKSE+ for structured learning. Compared with some classical methods such as SSVM and CRFs, the optimization problem in JKSE+ is a convex quadratical problem and can be easily solved because it is based on JKSE. By incorporating the privileged information into JKSE, the performance of JKSE+ is improved. We apply JKSE+ to the problem of object detection, which is a typical one in structured learning. Some experimental results show that JKSE+ performs better than JKSE.

Keywords

SVM One-class SVM Structured learning Object detection Privileged information 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of InformationRenmin University of ChinaBeijingChina
  2. 2.Research Center on Fictitious Economy and Data ScienceChinese Academy of ScienceBeijingChina

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