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Abstract: A very promising idea for fast searching in traditional and multimedia databases is to map objects into points in k-d space, using k feature-extraction functions, provided by a domain expert [Jag91]. Thus, we can subsequently use highly fine-tuned spatial access methods (SAMs), to answer several types of queries, including the `Query By Example' type (which translates to a range query) (Update)
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BibTeX entry: (Update)
C. Faloutsos, K. Lin, "FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Tr additional and Multimedia Datasets," in Proceedings of 1995 ACM SIGMOD, SIGMOD RECORD (June 1995), vol.24, no.2, p 163-174. http://citeseer.ist.psu.edu/faloutsos95fastmap.html More
@inproceedings{ faloutsos95fastmap,
author = "Christos Faloutsos and King-Ip Lin",
title = "{FastMap}: {A} Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets",
booktitle = "Proceedings of the 1995 {ACM} {SIGMOD} International Conference on Management of Data",
month = "22--25~",
address = "San Jose, California",
editor = "Michael J. Carey and Donovan A. Schneider",
pages = "163--174",
year = "1995",
url = "citeseer.ist.psu.edu/faloutsos95fastmap.html" }
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