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Adding classes online in error correcting output codes framework.
| Content Provider | CiteSeerX |
|---|---|
| Author | Escalera, Sergio Masip, David Puertas, Eloi Radeva, Petia Pujol, Oriol |
| Abstract | Abstract—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. I. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Error Correcting Output Code Framework Class Online New Class Base Classifier Real Machine Vision Application Online Problem-dependent Ecoc Proposal Robust Way Error Correcting Output Code General Extension Online Learning Scenario Uci Database Final Classifier |
| Content Type | Text |
| Resource Type | Article |
