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» Ensemble-index: a new approach to indexing large databases
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KDD
2001
ACM
203views Data Mining» more  KDD 2001»
14 years 5 months ago
Ensemble-index: a new approach to indexing large databases
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
Eamonn J. Keogh, Selina Chu, Michael J. Pazzani
SAC
2010
ACM
13 years 11 months ago
External sorting for index construction of large semantic web databases
Today’s Semantic Web datasets become increasingly larger containing up to several hundred million triples. The performance of index construction is a crucial factor for the succ...
Sven Groppe, Jinghua Groppe
BTW
2007
Springer
292views Database» more  BTW 2007»
13 years 8 months ago
Effective and Efficient Indexing for Large Video Databases
Abstract: Content based multimedia retrieval is an important topic in database systems. An emerging and challenging topic in this area is the content based search in video data. A ...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
VLDB
2000
ACM
229views Database» more  VLDB 2000»
13 years 8 months ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra
ICIP
2005
IEEE
14 years 6 months ago
Content-based video copy detection in large databases: a local fingerprints statistical similarity search approach
Recent methods based on interest points and local fingerprints have been proposed to perform robust CBCD (content-based copy detection) of images and video. They include two steps...
Alexis Joly, Carl Frélicot, Olivier Buisson