What have neural networks to offer statistical pattern processing?

David Lowe

doi:10.1117/12.49798

1 December 1991 What have neural networks to offer statistical pattern processing?

David Lowe

Proceedings Volume 1565, Adaptive Signal Processing; (1991) https://doi.org/10.1117/12.49798
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

The usefulness of algorithmic `neural' networks applied to signal and statistical pattern processing is considered in the context of more traditional techniques. The ability of networks to perform well in a variety of tasks is linked to the networks' flexibility in being able to incorporate the functionality of more traditional, established techniques. Discussions and examples of these relationships are presented, including density estimation, functional interpolation, clustering, and discriminant analysis. It is argued that the current embodiments of neural network structures are useful pattern analysis tools precisely because they provide an interpretational `glue' or a framework which links together a variety of methods and viewpoints, thus constituting a generic form of pattern analysis methods. This also indicates their limits.

Citation Download Citation

David Lowe "What have neural networks to offer statistical pattern processing?", Proc. SPIE 1565, Adaptive Signal Processing, (1 December 1991); https://doi.org/10.1117/12.49798

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