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ICML
2006
IEEE
14 years 8 months ago
Locally adaptive classification piloted by uncertainty
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwo...
ICDAR
2009
IEEE
14 years 2 months ago
An Improved Online Tamil Character Recognition Engine Using Post-Processing Methods
We propose script-specific post processing schemes for improving the recognition rate of online Tamil characters. At the first level, features derived at each sample point of the ...
Suresh Sundaram, Angarai Ganesan Ramakrishnan
ISNN
2009
Springer
14 years 2 months ago
Use of Ensemble Based on GA for Imbalance Problem
In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifie...
Laura Cleofas, Rosa Maria Valdovinos, Vicente Garc...
PODS
1989
ACM
155views Database» more  PODS 1989»
13 years 11 months ago
Fractals for Secondary Key Retrieval
In this paper we propose the use of fractals and especially the Hilbert curve, in order to design good distance-preserving mappings. Such mappings improve the performance of secon...
Christos Faloutsos, Shari Roseman
IDA
2006
Springer
13 years 7 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...