Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition

Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition

Bibliographic Details
Main Authors:	Alemi-Neissi Alireza, Baldassi Carlo, Braunstein Alfredo, Pagnani Andrea, Zecchina Riccardo, Zoccolan Davide
Format:	Article
Language:	English
Published:	BMC 2012-07-01
Series:	BMC Neuroscience

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