Feature locations in images

Hokun Kim; Colin Fyfe; Hanseok Ko

doi:10.1007/978-3-540-88906-9-58

Feature locations in images

Hokun Kim, Colin Fyfe, Hanseok Ko

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	459-463
Number of pages	5
Volume	5326 LNCS
DOIs	https://doi.org/10.1007/978-3-540-88906-9-58
Publication status	Published - 2008 Dec 31
Event	9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008 - Daejeon, Korea, Republic of Duration: 2008 Nov 2 → 2008 Nov 5

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5326 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008
Country	Korea, Republic of
City	Daejeon
Period	08/11/2 → 08/11/5

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ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Cite this

Kim, H., Fyfe, C., & Ko, H. (2008). Feature locations in images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5326 LNCS, 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

Feature locations in images. / Kim, Hokun; Fyfe, Colin; Ko, Hanseok.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5326 LNCS 2008. p. 459-463 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5326 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, H, Fyfe, C & Ko, H 2008, Feature locations in images. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5326 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5326 LNCS, pp. 459-463, 9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008, Daejeon, Korea, Republic of, 08/11/2. https://doi.org/10.1007/978-3-540-88906-9-58

Kim H, Fyfe C, Ko H. Feature locations in images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5326 LNCS. 2008. p. 459-463. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-88906-9-58

Kim, Hokun ; Fyfe, Colin ; Ko, Hanseok. / Feature locations in images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5326 LNCS 2008. pp. 459-463 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Access to Document

10.1007/978-3-540-88906-9-58