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ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
15 years 2 months ago
Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan
INCDM
2010
Springer
146views Data Mining» more  INCDM 2010»
15 years 2 months ago
Learning from Humanoid Cartoon Designs
Abstract. Character design is a key ingredient to the success of any comicbook, graphic novel, or animated feature. Artists typically use shape, size and proportion as the first de...
Md. Tanvirul Islam, Kaiser Md. Nahiduzzaman, Why Y...
KDD
2010
ACM
175views Data Mining» more  KDD 2010»
15 years 1 months ago
Learning with cost intervals
Existing cost-sensitive learning methods work with unequal misclassification cost that is given by domain knowledge and appears as precise values. In many real-world applications,...
Xu-Ying Liu, Zhi-Hua Zhou
ECCV
2010
Springer
15 years 12 days ago
Learning PDEs for Image Restoration via Optimal Control
Partial differential equations (PDEs) have been successfully applied to many computer vision and image processing problems. However, designing PDEs requires high mathematical skill...
VMV
2008
107views Visualization» more  VMV 2008»
14 years 11 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler