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» Using Two-Class Classifiers for Multiclass Classification
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AI
2010
Springer
14 years 13 days ago
Improving Multiclass Text Classification with Error-Correcting Output Coding and Sub-class Partitions
Error-Correcting Output Coding (ECOC) is a general framework for multiclass text classification with a set of binary classifiers. It can not only help a binary classifier solve mul...
Baoli Li, Carl Vogel
TNN
2008
90views more  TNN 2008»
13 years 10 months ago
Shared Feature Extraction for Nearest Neighbor Face Recognition
In this paper, we propose a new supervised linear feature extraction technique for multiclass classification problems that is specially suited to the nearest neighbor classifier (N...
David Masip, Jordi Vitrià
BMCBI
2006
180views more  BMCBI 2006»
13 years 11 months ago
Building multiclass classifiers for remote homology detection and fold recognition
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
Huzefa Rangwala, George Karypis
ICPR
2010
IEEE
13 years 8 months ago
One-Vs-All Training of Prototype Classifier for Pattern Classification and Retrieval
Prototype classifiers trained with multi-class classification objective are inferior in pattern retrieval and outlier rejection. To improve the binary classification (detection, v...
Cheng-Lin Liu
PRL
2006
79views more  PRL 2006»
13 years 10 months ago
Multi-class feature selection for texture classification
In this paper, a multi-class feature selection scheme based on recursive feature elimination (RFE) is proposed for texture classifications. The feature selection scheme is perform...
Xue-wen Chen, Xiang-Yan Zeng, Deborah van Alphen