Computer-Ästhetik

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Begriff

Ästhetik Maße und Metriken

Konferenzen, Workshops

Gesamtüberblick über die Computational Aesthetics Conferences



Artikel

Artikel aus dem Kontext Evolutionäre Kunst

Penousal Machado, Tiago Martins, Hugo Amaro, Pedro H. Abreu; An Interface for Fitness Function Design. In: EvoMUSART 2014, S. 13-25. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_2

Andrew Bishop, Vic Ciesielski, Karen Trist: Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value. In: EvoMUSART 2014, S. 62-73. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_6

Luz Castro, Rebeca Perez, Antonino Santos, Adrian Carballal: Authorship and Aesthetics Experiments: Comparison of Results between Human and Computational Systems. In: EvoMUSART 2014, S. 74-84. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_7

Gary Greenfield: An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images. In: EvoMUSART 2014, S. 85-94. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_8

Jon McCormack: Aesthetics, Art, Evolution. In: EvoMUSART 2013, S. 1-12. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_1

Victor Ciesielski, Perry Barile, Karen Trist: Finding Image Features Associated with High Aesthetic Value by Machine Learning. In: EvoMUSART 2013, S. 47-58. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_5

Kate Reed: Aesthetic Measures for Evolutionary Vase Design. In: EvoMUSART 2013, S. 59-71. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_6

João Correia, Penousal Machado, Juan Romero, Adrián Carballal: Feature Selection and Novelty in Computational Aesthetics. In: EvoMUSART 2013, S. 133-144. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_12

Colin G. Johnson: Fitness in Evolutionary Art and Music: What Has Been Used and What Could Be Used? In: EvoMUSART 2012, S. 129-140. DOI: http://link.springer.com/10.1007/978-3-642-29142-5_12

Yang Li, Changjun Hu, Ming Chen, Jingyuan Hu: Investigating Aesthetic Features to Model Human Preference in Evolutionary Art. In: EvoMUSART 2012, S. 153-164. DOI: http://link.springer.com/10.1007/978-3-642-29142-5_14

Heijer, E. den; Eiben, A.E.: Evolving Art Using Multiple Aesthetic Measures. In: EvoMUSART 2011, S. 234-243. DOI: http://link.springer.com/10.1007/978-3-642-20520-0_24

Romero, Juan; Machado, Penousal; Carballal, Adrian; Osorio, Olga: Aesthetic Classification and Sorting Based on Image Compression. In: EvoMUSART 2011, S. 394-403. DOI: http://link.springer.com/10.1007/978-3-642-20520-0_40

Heijer, E. den; Eiben, A.E.: Comparing Aesthetic Measures for Evolutionary Art. In: EvoMUSART 2010, S. 311-320. DOI: http://link.springer.com/10.1007/978-3-642-12242-2_

Machado, Penousal; Romero, Juan; Manaris, Bill: Experiments in Computational Aesthetics. In: Romero, Juan; Machado, Penousal: The Art of Artificial Evolution. Springer, Berlin, 2007, S. 381-415. DOI: http://link.springer.com/10.1007/978-3-540-72877-1_18

Basa, Tristan; Go, Christian Anthony; Yoo, Kil-Sang; Lee, Won-Hyung: Using Physiological Signals to Evolve Art. In: EvoMUSART 2006, S. 633-641. DOI: http://link.springer.com/10.1007/11732242_60

Machado, Penousal; Romero, Juan; Santos, Maria Luisa; Cardoso, Amilcar; Manaris, Bill: Adaptive Critics for Evolutionary Artists. In: EvoMUSART 2004, S. 437-446. DOI: http://link.springer.com/10.1007/978-3-540-24653-4_45

Svangard, Nils; Nordin, Peter: Automated Aesthetic Selection of Evolutionary Art by Distance Based Classification of Genomes and Phenomes Using the Universal Similarity Metric. In: EvoMUSART 2004, S. 447-456. DOI: http://link.springer.com/10.1007/978-3-540-24653-4_46

Romero, Juan; Machado, Penousal; Santos, Antonio; Cardoso, Amilcar: On the Development of Critics in Evolutionary Computation Artists. In: EvoMUSART 2003, S. 559-569. DOI: http://link.springer.com/10.1007/3-540-36605-9_51



Externe Links

http://www.computational-aesthetics.org/

http://en.wikipedia.org/wiki/Aesthetics#Computational_inference_of_aesthetics


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