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PAMI
2006

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Improving Multiclass Pattern Recognition by the Combination of Two Strategies

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Improving Multiclass Pattern Recognition by the Combination of Two Strategies

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We present a new method of multiclass classification based on the combination of one-vs-all method and a modification of one-vs-one method. This combination of one-vs-all and one-vs-one methods proposed enforces the strength of both methods. A study of the behavior of the two methods identifies some of the sources of their failure. The performance of a classifier can be improved if the two methods are combined in one, in such a way that the main sources of their failure are partially avoided.

Nicolás García-Pedrajas, Domingo Ort

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Multiclass Classification | One-vs-all Method | One-vs-one Methods | PAMI 2006 |

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Added	14 Dec 2010
Updated	14 Dec 2010
Type	Journal
Year	2006
Where	PAMI
Authors	Nicolás García-Pedrajas, Domingo Ortiz-Boyer

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