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SIGMOD
2001
ACM
184views Database» more  SIGMOD 2001»
15 years 11 months ago
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehro...
CIKM
2003
Springer
15 years 4 months ago
Dimensionality reduction using magnitude and shape approximations
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
CSB
2005
IEEE
125views Bioinformatics» more  CSB 2005»
15 years 5 months ago
On Optimizing Distance-Based Similarity Search for Biological Databases
Similarity search leveraging distance-based index structures is increasingly being used for both multimedia and biological database applications. We consider distance-based indexi...
Rui Mao, Weijia Xu, Smriti R. Ramakrishnan, Glen N...
104
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ICIP
2003
IEEE
16 years 1 months ago
Fast similarity search on video signatures
Video signatures are compact representations of video sequences designed for efficient similarity measurement. In this paper, we propose a feature extraction technique to support ...
Sen-Ching S. Cheung, Avideh Zakhor
SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
15 years 4 months ago
SQLEM: Fast Clustering in SQL using the EM Algorithm
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
Carlos Ordonez, Paul Cereghini