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Volumn 7834 LNCS, Issue , 2013, Pages 47-58

Finding image features associated with high aesthetic value by machine learning

Author keywords

Evolutionary Art; Feature Extraction; Feature Selection; Genetic Art

Indexed keywords

AESTHETIC VALUE; EVOLUTIONARY ARTS; FEATURE EXTRACTION METHODS; GENETIC ART; IMAGE DATABASE; IMAGE FEATURES; PHOTOGRAPHIC IMAGE; TEXTURE FEATURES;

EID: 84875105562     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-36955-1_5     Document Type: Conference Paper
Times cited : (16)

References (14)
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    • McCormack, J.: Open Problems in Evolutionary Music and Art. In: Rothlauf, F., Branke, J., Cagnoni, S., Corne, D.W., Drechsler, R., Jin, Y., Machado, P., Marchiori, E., Romero, J., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2005. LNCS, vol. 3449, pp. 428-436. Springer, Heidelberg (2005)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.