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» Hybrid Learning Scheme for Data Mining Applications
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TITS
2011
165views more  TITS 2011»
13 years 2 months ago
Robust Inference of Principal Road Paths for Intelligent Transportation Systems
Abstract—Over the last few years, electronic vehicle guidance systems have become increasingly more popular. However, despite their ubiquity, performance will always be subject t...
Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebo...
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
12 years 3 months ago
Coupled temporal scoping of relational facts
Recent research has made significant advances in automatically constructing knowledge bases by extracting relational facts (e.g., Bill Clinton-presidentOf-US) from large text cor...
Partha Pratim Talukdar, Derry Tanti Wijaya, Tom Mi...
DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
13 years 11 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
BMCBI
2007
171views more  BMCBI 2007»
13 years 7 months ago
An open source infrastructure for managing knowledge and finding potential collaborators in a domain-specific subset of PubMed,
Background: Identifying relevant research in an ever-growing body of published literature is becoming increasingly difficult. Establishing domain-specific knowledge bases may be a...
Wei Yu, Ajay Yesupriya, Anja Wulf, Junfeng Qu, Mui...
ICCV
2003
IEEE
14 years 9 months ago
Image Statistics and Anisotropic Diffusion
Many sensing techniques and image processing applications are characterized by noisy, or corrupted, image data. Anisotropic diffusion is a popular, and theoretically well understo...
Hanno Scharr, Michael J. Black, Horst W. Haussecke...