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» Experiments with Classifier Combining Rules
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JAIR
2002
95views more  JAIR 2002»
15 years 1 months ago
SMOTE: Synthetic Minority Over-sampling Technique
An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the classification categories are not approximately equally repres...
Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hal...
CVPR
2008
IEEE
16 years 3 months ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu
MIRAGE
2009
Springer
15 years 8 months ago
A Bag of Words Approach for 3D Object Categorization
In this paper we propose a novel framework for 3D object categorization. The object is modeled it in terms of its sub-parts as an histogram of 3D visual word occurrences. We introd...
Roberto Toldo, Umberto Castellani, Andrea Fusiello
JMLR
2006
107views more  JMLR 2006»
15 years 1 months ago
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
Di-Rong Chen, Tao Sun
IALP
2009
14 years 11 months ago
Dialog-Act Recognition Using Discourse and Sentence Structure Information
Automatic recognition of Dialog-act (DA) is one of the most important processes in understanding spontaneous dialog. Most existing studies have been working on how to use various ...
Keyan Zhou, Chengqing Zong