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 | Intelligent Data Engineering and Automated Learning - IDEAL 2008 - 9th International Conference, Proceedings |
| Pages | 459-463 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2008 |
| 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) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
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 |
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