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» Using Two-Class Classifiers for Multiclass Classification
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ICDAR
2003
IEEE
15 years 3 months ago
Gabor Filter Based Multi-class Classifier for Scanned Document Images
When scanning documents with a large number of pages such as books, it is often feasible to provide a minimal number of training samples to personalize the system to compensate fo...
Huanfeng Ma, David S. Doermann
KDD
2002
ACM
187views Data Mining» more  KDD 2002»
15 years 10 months ago
Transforming classifier scores into accurate multiclass probability estimates
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
Bianca Zadrozny, Charles Elkan
ESWA
2008
131views more  ESWA 2008»
14 years 10 months ago
Classification of weld flaws with imbalanced class data
This paper presents research results of our investigation of the imbalanced data problem in the classification of different types of weld flaws, a multi-class classification probl...
T. Warren Liao
ICML
2001
IEEE
15 years 11 months ago
Round Robin Rule Learning
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
Johannes Fürnkranz
PR
2008
154views more  PR 2008»
14 years 10 months ago
Data-driven decomposition for multi-class classification
This paper presents a new study on a method of designing a multi-class classifier: Data-driven Error Correcting Output Coding (DECOC). DECOC is based on the principle of Error Cor...
Jie Zhou, Hanchuan Peng, Ching Y. Suen