Improving Multiclass Pattern Recognition by the Combination of Two Strategies

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.

• Type: Journal
• Year: 2006
• Where: PAMI
• Authors: Nicolás García-Pedrajas, Domingo Ortiz-Boyer
• Keywords: Multiclass Classification, One-vs-all Method, One-vs-one Methods, PAMI 2006