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» Learning to Extract Information for the Semantic Web
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CVPR
2005
IEEE
14 years 2 months ago
Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval
In this a novel supervised learning method is proposed to map low-level visualfeatures to high-level semantic conceptsfor region-based image retrieval. The contributions of thispa...
Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zh...
WWW
2005
ACM
14 years 9 months ago
Browsing fatigue in handhelds: semantic bookmarking spells relief
Focused Web browsing activities such as periodically looking up headline news, weather reports, etc., which require only selective fragments of particular Web pages, can be made m...
Saikat Mukherjee, I. V. Ramakrishnan
SEMCO
2007
IEEE
14 years 3 months ago
Intelligent Parsing of Scanned Volumes for Web Based Archives
The proliferation of digital libraries and the large amount of existing documents raise important issues in efficient handling of documents. Printed texts in documents need to be...
Xiaonan Lu, James Ze Wang, C. Lee Giles
SIGIR
2004
ACM
14 years 2 months ago
Learning effective ranking functions for newsgroup search
Web communities are web virtual broadcasting spaces where people can freely discuss anything. While such communities function as discussion boards, they have even greater value as...
Wensi Xi, Jesper Lind, Eric Brill
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
14 years 1 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano