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» Scaling Clustering Algorithms to Large Databases
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ICDCS
2011
IEEE
14 years 1 months ago
Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
15 years 7 months ago
Clustering Objects on a Spatial Network
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
Man Lung Yiu, Nikos Mamoulis
ICMLA
2007
15 years 3 months ago
Memory-based context-sensitive spelling correction at web scale
We study the problem of correcting spelling mistakes in text using memory-based learning techniques and a very large database of token n-gram occurrences in web text as training d...
Andrew Carlson, Ian Fette
ICIP
2009
IEEE
16 years 2 months ago
Learning Large Margin Likelihoods For Realtime Head Pose Tracking
We consider the problem of head tracking and pose estimation in realtime from low resolution images. Tracking and pose recognition are treated as two coupled problems in a probabi...
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ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
15 years 7 months ago
Adaptive Blocking: Learning to Scale Up Record Linkage
Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
Mikhail Bilenko, Beena Kamath, Raymond J. Mooney