Image classification: an evolutionary approach

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{agnelli:2002:PRL,

• author = "Davide Agnelli and Alessandro Bollini and Luca Lombardi",
• title = "Image classification: an evolutionary approach",
• journal = "Pattern Recognition Letters",
• year = "2002",
• number = "1-3",
• volume = "23",
• pages = "303--309",
• month = jan,
• keywords = "genetic algorithms, genetic programming, Image classification, Supervised learning",
• ISSN = "0167-8655",
• broken = "http://www.sciencedirect.com/science/article/B6V15-443K10X-6/1/7af8206767ca79f9898fec720a84c656",
• DOI = "doi:10.1016/S0167-8655(01)00128-3",
• size = "7 pages",
• 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.",

}

Genetic Programming entries for Davide Agnelli Alessandro Bollini Luca Lombardi

Citations