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» Efficient Discovery of Confounders in Large Data Sets
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FGR
2008
IEEE
264views Biometrics» more  FGR 2008»
15 years 8 months ago
Large scale learning and recognition of faces in web videos
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
Ming Zhao 0003, Jay Yagnik, Hartwig Adam, David Ba...
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 6 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
PKDD
1998
Springer
113views Data Mining» more  PKDD 1998»
15 years 10 months ago
Text Mining at the Term Level
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Moshe Fresko, Yakkov Kinar, Yehuda ...
VLDB
1997
ACM
175views Database» more  VLDB 1997»
15 years 10 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
WEBI
2010
Springer
15 years 4 months ago
Domain-Specific Backlinking Services in the Web of Data
Abstract--This paper describes an Open Linked Data backlinking service, a generic architecture component to support the discovery of useful links between items across highly connec...
Manuel Salvadores, Gianluca Correndo, Martin Szoms...