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 | |
| 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 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
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
}
TY - GEN
T1 - Feature locations in images
AU - Kim, Hokun
AU - Fyfe, Colin
AU - Ko, Hanseok
PY - 2008/12/31
Y1 - 2008/12/31
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=58049088792&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=58049088792&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-88906-9-58
DO - 10.1007/978-3-540-88906-9-58
M3 - Conference contribution
AN - SCOPUS:58049088792
SN - 3540889051
SN - 9783540889052
VL - 5326 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 459
EP - 463
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -