Feature locations in images

Hokun Kim, Colin Fyfe, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We review the recent technique of two dimensional canonical correlation analysis and illustrate its use as a method for identification of the location of particular features in a data set.

Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning - IDEAL 2008 - 9th International Conference, Proceedings
Pages459-463
Number of pages5
DOIs
Publication statusPublished - 2008
Event9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008 - Daejeon, Korea, Republic of
Duration: 2008 Nov 22008 Nov 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5326 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008
CountryKorea, Republic of
CityDaejeon
Period08/11/208/11/5

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kim, H., Fyfe, C., & Ko, H. (2008). Feature locations in images. In Intelligent Data Engineering and Automated Learning - IDEAL 2008 - 9th International Conference, Proceedings (pp. 459-463). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5326 LNCS). https://doi.org/10.1007/978-3-540-88906-9-58