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Finding Image Features Associated with High Aesthetic Value by Machine Learning.

, , and . EvoMUSART, volume 7834 of Lecture Notes in Computer Science, page 47-58. Springer, (2013)

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Finding Image Features Associated with High Aesthetic Value by Machine Learning., , and . EvoMUSART, volume 7834 of Lecture Notes in Computer Science, page 47-58. Springer, (2013)An artist's experience in using an evolutionary algorithm to produce an animated artwork., , and . Int. J. Arts Technol., 4 (2): 155-167 (2011)Evolution of Animated Photomosaics., , , and . EvoWorkshops, volume 4448 of Lecture Notes in Computer Science, page 498-507. Springer, (2007)A self organizing map based method for understanding features associated with high aesthetic value evolved abstract images., , and . IEEE Congress on Evolutionary Computation, page 2274-2281. IEEE, (2014)Can't See the Forest: Using an Evolutionary Algorithm to Produce an Animated Artwork., , and . ArtsIT, volume 30 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 255-262. Springer, (2009)Generation of self-referential animated photomosaics., , , and . ACM Multimedia, page 489-492. ACM, (2007)Animated drawings rendered by genetic programming., , , and . GECCO, page 939-946. ACM, (2009)Non-photorealistic Rendering Using Genetic Programming., , and . SEAL, volume 5361 of Lecture Notes in Computer Science, page 299-308. Springer, (2008)Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value., , and . EvoMUSART, volume 8601 of Lecture Notes in Computer Science, page 62-73. Springer, (2014)