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» A selective sampling approach to active feature selection
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ICPR
2008
IEEE
15 years 8 months ago
Group-based meta-classification
Virtually all existing classification techniques label one sample at a time. In this paper, we highlight the potential benefits of group based classification (GBC), where the clas...
Noor Azah Samsudin, Andrew Bradley
BIBE
2007
IEEE
176views Bioinformatics» more  BIBE 2007»
15 years 8 months ago
HICCUP: Hierarchical Clustering Based Value Imputation using Heterogeneous Gene Expression Microarray Datasets
Abstract—A novel microarray value imputation method, HICCUP1 , is presented. HICCUP improves upon existing value imputation methods in the several ways. (1) By judiciously integr...
Qiankun Zhao, Prasenjit Mitra, Dongwon Lee, Jaewoo...
GRAPHICSINTERFACE
2007
15 years 3 months ago
Optimized tile-based texture synthesis
One significant problem in tile-based texture synthesis is the presence of conspicuous seams in the tiles. The reason is that the sample patches employed as primary patterns of t...
Weiming Dong, Ning Zhou, Jean-Claude Paul
CIKM
2009
Springer
15 years 8 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
AIRS
2008
Springer
15 years 8 months ago
Active Learning for Online Spam Filtering
Spam filtering is defined as a task trying to label emails with spam or ham in an online situation. The online feature requires the spam filter has a strong timely generalization a...
Wuying Liu, Ting Wang