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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mirmadeh, M. Sadjad, B.S. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Comput. Sci., Waterloo Univ., Ont., Canada (Mirmadeh, M.; Sadjad, B.S.) |
| Abstract | In this paper we investigate data structures for performing similarity search queries in metric spaces. We have selected six methods proposed in three different communities: two theoretically analyzed structures of Clarkson (1999), GNAT and SA-tree from databases, and AESA and LAESA which are used for pattern recognition applications. We have implemented all these methods and compared their efficiency in practice. We propose an improvement for GNAT data structure that reduces its space requirement. We show this improvement does not degrade the query time by much. |
| Sponsorship | Cisco Syst. General Elec. Ryerson Univ. AVFX Audio Visual Bell Canada Dofasco Dye & Durham Gennum Corp. IEEE Canada Found. Univ. of Toronto Niagara College of Appl. Arts and Technol |
| Starting Page | 2391 |
| Ending Page | 2396 |
| File Size | 461569 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780382536 |
| ISSN | 08407789 |
| DOI | 10.1109/CCECE.2004.1347728 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-05-02 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Indexing Data structures Extraterrestrial measurements Computer science Pattern recognition Multimedia databases Upper bound Pattern analysis Degradation Search problems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture |
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