Publications
Detailed Information
Fast design of reduced complexity nearest-neighbor classifiers using triangular inequality
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Eelwan | - |
dc.contributor.author | Chae, Soo-Ik | - |
dc.date.accessioned | 2009-12-17T05:52:42Z | - |
dc.date.available | 2009-12-17T05:52:42Z | - |
dc.date.issued | 1998 | - |
dc.identifier.citation | IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 5, pp. 562-566 | en |
dc.identifier.issn | 0162-8828 | - |
dc.identifier.uri | https://hdl.handle.net/10371/21263 | - |
dc.description.abstract | In this paper, we propose a method of designing a reduced complexity nearest-neighbor (RCNN) classifier with near-minimal computational complexity from a given nearest-neighbor classifier that has high input dimensionality and a large number of class vectors. We applied our method to the classification problem of handwritten numerals in the NIST database. If the complexity of the RCNN classifier is normalized to that of the given classifier, the complexity of the derived classifier is 62 percent, 2 percent higher than that of the optimal classifier. This was found using the exhaustive search. | en |
dc.description.sponsorship | Institute of Information Technology Assessment (IITA), Korea,
under research grant 96060-IT2-I2. | en |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en |
dc.title | Fast design of reduced complexity nearest-neighbor classifiers using triangular inequality | en |
dc.type | Article | en |
dc.contributor.AlternativeAuthor | 이일완 | - |
dc.contributor.AlternativeAuthor | 채수익 | - |
dc.identifier.doi | 10.1109/34.682187 | - |
- Appears in Collections:
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.