Neural network for modeling esthetic selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4985 LNCS, Issue PART 2, 2008, Pages 666-674

  Gedeon, Tamás Domonkos ^a  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Art; Artistic esthetic; Back propagation; Incremental learning; Mondrian; Neural networks; Training set

Indexed keywords

BACKPROPAGATION; IMAGE ENHANCEMENT; LABELING; LEARNING SYSTEMS; NETWORK PROTOCOLS; SENSOR NETWORKS; VEGETATION;

ART; ARTISTIC ESTHETIC; INCREMENTAL LEARNING; MONDRIAN; TRAINING SET;

NEURAL NETWORKS;

EID: 54049153272     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69162-4_69     Document Type: Conference Paper

References (11)

1. Wikipedia, entries on de stijl, Piet Mondrian, http://www.wikipedia.com
2. Hill, A.: Art and Mathesis: Mondrian's Structures. Leonardo I, 233-234 (1968)
3. Reynolds, D.: Symbolist Aesthetics And Elarly Abstract Art, Cambridge UP, page 260 (1995)
4. McManus, I.C., Cheema, B., Stoker, J.: The aesthetics of composition: A study of Mondrian. Empirical Studies of the Arts 11(2), 83-94 (1993)
5. Wolach, A.H.: Line spacing in Mondrian paintings and computer-generated modifications. Journal of General Psychology (July 2005)
6. Gedeon, T.D., Shen, J.Y.: Making art using evolutionary algorithms and artificial AI. In: Proceedings BOOM 2007, p. 6 (2007)
7. Taylor, R.P.: Fractal expressionism-where art meets science, Art and Complexity. Elsevier Press, Amsterdam (2003)
8. Gedeon, T.D.: Data Mining of Inputs: Analysing Magnitude and Functional Measures. International Journal of Neural Systems 8(2), 209-218 (1997)
9. Brown, W.M., Gedeon, T.D., Groves, D.I.: Use of noise to augment training data to compensate for lack of deposit examples in training a neural network for mineral potential, mapping. Natural Resources Research 12(2), 141-151 (2003)
10. Granger, M.J., Mazlack, L.J.: Representing Aesthetic Judgments. In: Proceedings of the International Conference on Cybernetics and Society, pp. 16-20 (1981)
11. Maiocchi, R.: Can you make a computer understand and produce art? AI & Society 5, 183-201 (1991)