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» Challenges in Evaluating Distributed Algorithms
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WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
14 years 2 months ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li
SIGIR
2005
ACM
16 years 8 days ago
An application of text categorization methods to gene ontology annotation
This paper describes an application of IR and text categorization methods to a highly practical problem in biomedicine, specifically, Gene Ontology (GO) annotation. GO annotation...
Kazuhiro Seki, Javed Mostafa
ISBI
2006
IEEE
16 years 7 months ago
Validation and regularization in diffusion MRI tractography
We present a physical phantom designed for fibre tractography validation and use it to evaluate tracking algorithms that employ (a) the classic diffusion tensor model of diffusion...
Jennifer S. W. Campbell, Peter Savadjiev, Kaleem S...
CIKM
2009
Springer
16 years 1 months ago
Mining frequent itemsets in time-varying data streams
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
Yingying Tao, M. Tamer Özsu
CVPR
2006
IEEE
16 years 8 months ago
Automatic Cast Listing in Feature-Length Films with Anisotropic Manifold Space
Our goal is to automatically determine the cast of a feature-length film. This is challenging because the cast size is not known, with appearance changes of faces caused by extrin...
Ognjen Arandjelovic, Roberto Cipolla