Improving multiclass pattern recognition by the combination of two strategies
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Updated: Aug 8, 2026
Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
Nicolás García-Pedrajas1, Domingo Ortiz-Boyer
1Department of Computing and Numerical Analysis, Edificio Einstein, 3a Planta, Campus Universitario de Rabanales, 14071 Córdoba, Spain. npedrajas@uco.es
Abstract:
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.
