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- W4384388038 abstract "Aesthetics has become the new challenge for computational and digital neuroscience and, today, it is largely computer scientists who have taken the plunge into digital approaches. Their work was largely unknown in the humanities and barely followed in biology. This chapter summarizes a number of research, which has been characterized based on the attributed used to measure the beauty of photographs and by the algorithms used in their calculations. Today, the most widely used categorization by the community is two-class categorization using the AVA database as the benchmark for evaluating the performance of different systems. The implicit hypothesis behind all these learning methods using neural networks is that of an objective and universal aesthetic. The chapter revisits the mechanisms that are implemented in the most advanced studies today that make massive use of deep neural networks and tries to form some conclusions from the choices made." @default.
- W4384388038 created "2023-07-15" @default.
- W4384388038 date "2023-07-14" @default.
- W4384388038 modified "2023-10-17" @default.
- W4384388038 title "A Critical Analysis of Machine Learning Techniques" @default.
- W4384388038 doi "https://doi.org/10.1002/9781394225972.ch8" @default.
- W4384388038 hasPublicationYear "2023" @default.
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