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» Results of the KDD'99 Classifier Learning
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NCA
2008
IEEE
13 years 7 months ago
Polynomial kernel adaptation and extensions to the SVM classifier learning
Three extensions to the Kernel-AdaTron training algorithm for Support Vector Machine classifier learning are presented. These extensions allow the trained classifier to adhere more...
Ramy Saad, Saman K. Halgamuge, Jason Li
ACL
2007
13 years 9 months ago
Classifying Temporal Relations Between Events
This paper describes a fully automatic twostage machine learning architecture that learns temporal relations between pairs of events. The first stage learns the temporal attribut...
Nathanael Chambers, Shan Wang, Daniel Jurafsky
ICDAR
2009
IEEE
13 years 5 months ago
Learning Bayesian Networks by Evolution for Classifier Combination
Combining classifier methods have shown their effectiveness in a number of applications. Nonetheless, using simultaneously multiple classifiers may result in some cases in a reduc...
Claudio De Stefano, Francesco Fontanella, Alessand...
CVPR
2009
IEEE
13 years 11 months ago
"Who are you?" - Learning person specific classifiers from video
We investigate the problem of automatically labelling faces of characters in TV or movie material with their names, using only weak supervision from automaticallyaligned subtitle ...
Josef Sivic, Mark Everingham, Andrew Zisserman
ICIP
2009
IEEE
13 years 5 months ago
Classified patch learning for spatially scalable video coding
This paper proposes an advanced spatially scalable video coding approach that exploits the inter layer correlation between different resolution layers by classified patch learning...
Xiaoyan Sun, Feng Wu