Image classification: an evolutionary approach
Inhaltsverzeichnis
Reference
Davide Agnelli and Alessandro Bollini and Luca Lombardi: Image classification: an evolutionary approach. Pattern Recognition Letters, Vol. 23, Number 1-3, pp. 303-309, 2002.
DOI
http://dx.doi.org/10.1016/S0167-8655%2801%2900128-3
Abstract
Evolutionary algorithms are proving viable in solving complex optimization problems such as those typical of supervised learning approaches to image understanding. This paper presents an evolutionary approach to image classification and discusses some experimental results, suggesting that genetic programming could provide a convenient alternative to standard supervised learning methods.
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