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WWW
2007
ACM
16 years 7 months ago
Determining the user intent of web search engine queries
Determining the user intent of Web searches is a difficult problem due to the sparse data available concerning the searcher. In this paper, we examine a method to determine the us...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 7 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
16 years 7 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
SIGMOD
2009
ACM
144views Database» more  SIGMOD 2009»
16 years 6 months ago
Do we mean the same?: disambiguation of extracted keyword queries for database search
Users often try to accumulate information on a topic of interest from multiple information sources. In this case a user's informational need might be expressed in terms of an...
Elena Demidova, Irina Oelze, Peter Fankhauser
CVPR
2010
IEEE
16 years 3 months ago
Optimizing One-Shot Recognition with Micro-Set Learning
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
Kevin Tang, Marshall Tappen, Rahul Sukthankar, Chr...
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