The Power of Visual Texture in Aesthetic Perception: An Exploration of the Predictability of Perceived Aesthetic Emotions

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Bibliografske podrobnosti
izdano v:	Computational Intelligence and Neuroscience : CIN vol. 2018 (2018)
Glavni avtor:	Liu, Jianli
Drugi avtorji:	Lughofer, Edwin, Zeng, Xianyi, Li, Zhengxin
Izdano:	John Wiley & Sons, Inc.
Teme:	Feature extraction Judgments Visual perception Bioinformatics Brain research Pattern recognition Structural hierarchy Neurosciences Machine learning Medical imaging Emotions Statistical analysis Learning algorithms Visual perception driven algorithms Redundancy Experiments Mathematical models Regression analysis Methods Algorithms Complexity Neighborhoods Texture Semantics Artificial intelligence
Online dostop:	Citation/Abstract Full Text Full Text - PDF
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