Multiple classifier systems: Theory, applications and tools

Abstract

In many Pattern Recognition applications, the achievement of acceptable recognition rates is conditioned by the large pattern variability, whose distribution cannot be simply modeled. This affects the results at each stage of the recognition system so that, once this has been designed, its performance cannot be improved over a certain bound, despite the efforts in refining either the classification or the description method. © Springer-Verlag Berlin Heidelberg 2013.