Skip navigation
Skip navigation

Neural Networks for Modeling Esthetic Selection

Gedeon, Tamas (Tom)


Some real world problems require significant human interaction for labeling the data, which is very expensive. Worse, in some cases, the exercise of human judgement is inherently subjective and contextual, and so the entire labeling must be done in one session, which may be too long. Our domain is the automatic generation of Mondrian-like images with an interactive interface for the user to select images. We use back-propagation neural networks to learn an approximation of a viewer's aesthetic...[Show more]

CollectionsANU Research Publications
Date published: 2008
Type: Conference paper
Source: Neural Information Processing - Proceedings of the fourteenth International Conference on Neural Information Processing (ICONIP 2007)
DOI: 10.1007/978-3-540-69162-4_69


File Description SizeFormat Image
01_Gedeon_Neural_Networks_for_Modeling_2008.pdf741.83 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator