Journal of Statistics: Advances in Theory and ApplicationsAuthor's: Crescenzio Gallo
Pages: [1] - [17]
Received Date: January 4, 2009
Submitted by:
Often a pattern recognition problem is too hard to solve with ordinary
approaches involving too computationally “expensive” algorithms.
Instead of this, it is sometimes better to combine the decisions
coming from different simpler methods, working on the same data to
produce a solution to the same problem, in order to give a global
result better than that obtained by each single expert.
In this paper, this technique is applied to the well-known problem of
handwritten digit recognition, where it is shown how the employment of
a good combination applied to very simple, fast and with low single
performances methods can catch up optimal reliability and performance
comparable to those of “big” but slow and complex methods.
pattern recognition, integration of experts.
