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» On Issues of Instance Selection
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ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
13 years 9 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
ICCV
2011
IEEE
12 years 11 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...
VLDB
2000
ACM
166views Database» more  VLDB 2000»
14 years 2 months ago
What Is the Nearest Neighbor in High Dimensional Spaces?
Nearest neighbor search in high dimensional spaces is an interesting and important problem which is relevant for a wide variety of novel database applications. As recent results s...
Alexander Hinneburg, Charu C. Aggarwal, Daniel A. ...
BMCBI
2007
147views more  BMCBI 2007»
13 years 11 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...
CSE
2009
IEEE
14 years 6 months ago
Open Editing Algorithm: A Collaborative News Promotion Algorithm Based on Users' Voting History
—In social news services, selecting valuable and credible news content is one of the most important issues. In traditional journalism, a small number of people called editors sel...
Joonseong Ko, Kanghak Kim, Ohyeon Kweon, Jongwook ...