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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS Jg. 108; H. 43; S. 17621
Hauptverfasser:	Fleuret, François, Li, Ting, Dubout, Charles, Wampler, Emma K, Yantis, Steven, Geman, Donald
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 25.10.2011
Schlagworte:	Algorithms Artificial Intelligence Humans Pattern Recognition, Automated - methods Pattern Recognition, Visual - physiology Problem Solving
ISSN:	1091-6490, 1091-6490
Online-Zugang:	Weitere Angaben
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!