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» Maximal Vector Computation in Large Data Sets
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CIKM
2009
Springer
14 years 3 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
GIS
1992
ACM
14 years 1 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
FGR
2004
IEEE
133views Biometrics» more  FGR 2004»
14 years 28 days ago
Finding Temporal Patterns by Data Decomposition
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
David C. Minnen, Christopher Richard Wren
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 9 months ago
CONCISE: Compressed 'n' Composable Integer Set
Bit arrays, or bitmaps, are used to significantly speed up set operations in several areas, such as data warehousing, information retrieval, and data mining, to cite a few. Howeve...
Alessandro Colantonio, Roberto Di Pietro
CCGRID
2008
IEEE
14 years 3 months ago
Scalable Data Gathering for Real-Time Monitoring Systems on Distributed Computing
Real-time monitoring is increasingly becoming important in various scenes of large scale, multi-site distributed/parallel computing, e.g, understanding behavior of systems, schedu...
Yoshikazu Kamoshida, Kenjiro Taura