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Focusing on soft-computing techniques to model the role of context in determining colours

Denby, E.R. (2002) Focusing on soft-computing techniques to model the role of context in determining colours. In: 9th International Conference on Neural Information Processing ( ICONIP '02), 18 - 22 November 2002, Singapore

Link to Published Version: http://dx.doi.org/10.1109/ICONIP.2002.1198144
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Abstract

This paper describes an initial study to investigate the role of context in determining colours from a machine learning perspective. A soft-computing technique in the form of fuzzy neural networks is used to perform the intelligent processing of categorising colours given some training. The main hypothesis suggests that the neural network will not perform as well as a human familiar with the NCS colour space, because humans possess context knowledge needed to correctly classify any colour variety into eleven groupings. This paper describes the process taken to create the dataset suitable for the network, and reports on the use of the software called FuzzyCOPE 3© to investigate this hypothesis. Further, it points to issues such as what is context knowledge? Can the network's learning be said to possess contextual knowledge of the colour space?

Publication Type: Conference Paper
Murdoch Affiliation: School of Information Technology
URI: http://researchrepository.murdoch.edu.au/id/eprint/31033
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