Comparing machines and humans on a visual categorization test

Automated scene interpretation has benefited from advances in machine learning, and restricted tasks, such as face detection, have been solved with sufficient accuracy for restricted settings. However, the performance of machines in providing rich semantic descriptions of natural scenes from digital...

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Vydané v:	Proceedings of the National Academy of Sciences - PNAS Ročník 108; číslo 43; s. 17621
Hlavní autori:	Fleuret, François, Li, Ting, Dubout, Charles, Wampler, Emma K, Yantis, Steven, Geman, Donald
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 25.10.2011
Predmet:	Algorithms Artificial Intelligence Humans Pattern Recognition, Automated - methods Pattern Recognition, Visual - physiology Problem Solving
ISSN:	1091-6490, 1091-6490
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