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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 8 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
ICDE
2000
IEEE
161views Database» more  ICDE 2000»
13 years 11 months ago
Efficient Query Refinement in Multimedia Databases
Increasing application demands are pushing database management systems (DBMSs) towards providing adequate and efficient support for content-based retrieval over multimedia objects...
Kaushik Chakrabarti, Kriengkrai Porkaew, Sharad Me...
FLAIRS
1998
13 years 8 months ago
Interactively Training Pixel Classifiers
Manual generation of training examples for supervised learning is an expensive process. One way to reduce this cost is to produce training instances that are highly informative. T...
Justus H. Piater, Edward M. Riseman, Paul E. Utgof...
MM
2005
ACM
160views Multimedia» more  MM 2005»
14 years 29 days ago
Putting active learning into multimedia applications: dynamic definition and refinement of concept classifiers
The authors developed an extensible system for video exploitation that puts the user in control to better accommodate novel situations and source material. Visually dense displays...
Ming-yu Chen, Michael G. Christel, Alexander G. Ha...
IADIS
2004
13 years 8 months ago
continuing Training Strategies in Europe
This article gives an overview on the development of Continuing Training (CT) strategies in Europe. A review of the existing policies and estimated developments on Information and...
Piedale Carvalho