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Image classification: an evolutionary approach

delete2002-01-01
delete35
PRE
AI
D
Davide Agnelli
A
Alessandro Bollini
L
Luca Lombardi
DOI：10.1016/S0167-8655(01)00128-3delete
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Abstract

Abstract

En 中文
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. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
image classification
genetic programming
supervised learning
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AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
7.8K
Citations:
1.6W

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No organization information available