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ICML
2006
IEEE
16 years 6 months ago
Active sampling for detecting irrelevant features
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo...
DASFAA
2006
IEEE
111views Database» more  DASFAA 2006»
16 years 2 days ago
Holistic Schema Mappings for XML-on-RDBMS
When hosting XML information on relational backends, a mapping has to be established between the schemas of the information source and the target storage repositories. A rich body ...
Priti Patil, Jayant R. Haritsa
MM
2006
ACM
164views Multimedia» more  MM 2006»
15 years 12 months ago
Scalable relevance feedback using click-through data for web image retrieval
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
En Cheng, Feng Jing, Lei Zhang, Hai Jin
HICSS
1999
IEEE
125views Biometrics» more  HICSS 1999»
15 years 10 months ago
ASHRAM: Active Summarization and Markup
Typically, searching for information in a document collection amounts to refining a query and then scanning a large number of documents to determine their relevance. Active Summar...
Mary S. Neff, James W. Cooper
CIKM
2006
Springer
15 years 9 months ago
Mining blog stories using community-based and temporal clustering
In recent years, weblogs, or blogs for short, have become an important form of online content. The personal nature of blogs, online interactions between bloggers, and the temporal...
Arun Qamra, Belle L. Tseng, Edward Y. Chang