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» Using Document Dimensions for Enhanced Information Retrieval
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SIGIR
2006
ACM
14 years 29 days ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
ICCV
1995
IEEE
13 years 10 months ago
Closed-World Tracking
A new approach to tracking weakly modeled objects in a semantically rich domain is presented. We define a closed-world as a space-time region of an image sequence in which the co...
Stephen S. Intille, Aaron F. Bobick
BMCBI
2010
162views more  BMCBI 2010»
13 years 7 months ago
Moara: a Java library for extracting and normalizing gene and protein mentions
Background: Gene/protein recognition and normalization are important preliminary steps for many biological text mining tasks, such as information retrieval, protein-protein intera...
Mariana L. Neves, José María Carazo,...
MM
2004
ACM
155views Multimedia» more  MM 2004»
14 years 13 days ago
Disruption-tolerant content-aware video streaming
Communication between a pair of nodes in the network may get disrupted due to failures of links/nodes resulting in zero effective bandwidth between them during the recovery perio...
Tiecheng Liu, Srihari Nelakuditi
SIGSOFT
2010
ACM
13 years 4 months ago
Software intelligence: the future of mining software engineering data
Mining software engineering data has emerged as a successful research direction over the past decade. In this position paper, we advocate Software Intelligence (SI) as the future ...
Ahmed E. Hassan, Tao Xie