Adding Classes Online in Error Correcting Output Codes Framework

This article proposes a general extension of the Error Correcting Output Codes (ECOC) framework to the online learning scenario. As a result, the final classifier handles the addition of new classes independently of the base classifier used. Validation on UCI database and two real machine vision app...

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Bibliographic Details
Main Authors: Escalera, S, Masip, D, Puertas, E, Radeva, P, Pujol, O
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Decoding
Encoding
Error-Correcting Output Codes
Face
Multi-class classification
Support vector machines
Training
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Description
Summary:This article proposes a general extension of the Error Correcting Output Codes (ECOC) framework to the online learning scenario. As a result, the final classifier handles the addition of new classes independently of the base classifier used. Validation on UCI database and two real machine vision applications show that the online problem-dependent ECOC proposal provides a feasible and robust way for handling new classes using any base classifier.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2010.722