Joint collaborative representation and discriminative projection for pattern classification

Junyu Li, Haoliang Yuan, Loi Lei Lai, Yiu Ming CHEUNG

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

Representation-based classifiers have shown the impressive results for pattern classification. In this paper, we propose a joint collaborative representation and discriminative projection model (JCRDP) for subspace learning. We aim to seek a linear projection matrix to effectively reveal or maintain the underlying structure of original data and well fit collaborative representation classifier simultaneously. Unlike previous representation-based subspace learning methods, in which the linear reconstruction and the generalized eigenvalue decomposition are two independent steps, our proposed JCRDP integrates these two tasks into one single optimization step to learn a more discriminative linear projection matrix. To effectively solve JCRDP, we develop an alternative strategy to deal with the optimization problem. Extensive experimental results demonstrate the effectiveness of our proposed method.

Original languageEnglish
Title of host publicationProceedings - 14th International Conference on Computational Intelligence and Security, CIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages125-129
Number of pages5
ISBN (Electronic)9781728101699
DOIs
Publication statusPublished - 5 Dec 2018
Event14th International Conference on Computational Intelligence and Security, CIS 2018 - Hangzhou, China
Duration: 16 Nov 201819 Nov 2018

Publication series

NameProceedings - 14th International Conference on Computational Intelligence and Security, CIS 2018

Conference

Conference14th International Conference on Computational Intelligence and Security, CIS 2018
Country/TerritoryChina
CityHangzhou
Period16/11/1819/11/18

Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

User-Defined Keywords

  • Collaborative representation
  • Pattern classification
  • Subspace learning

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