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KDD
2008
ACM
128views Data Mining» more  KDD 2008»
14 years 8 months ago
Scaling up text classification for large file systems
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
George Forman, Shyamsundar Rajaram
CHI
2005
ACM
14 years 8 months ago
Time quilt: scaling up zoomable photo browsers for large, unstructured photo collections
In the absence of manual organization of large digital photo collections, the photos' visual content and creation dates can help support time-based visual search tasks. Curre...
David Huynh, Steven M. Drucker, Patrick Baudisch, ...
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
14 years 1 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
CORR
2011
Springer
177views Education» more  CORR 2011»
13 years 2 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...
ICDAR
2009
IEEE
14 years 2 months ago
Scaling Up Whole-Book Recognition
We describe the results of large-scale experiments with algorithms for unsupervised improvement of recognition of book-images using fully automatic mutual-entropy-based model adap...
Pingping Xiu, Henry S. Baird