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

TitleInformation theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition
Publication TypeJournal Article
Year of Publication2012
AuthorsAlemi-Neissi A, Baldassi C, Braunstein A, Pagnani A, Zecchina R, Zoccolan D
JournalBMC Neuroscience
Volume13
Pagination1-2
URLhttp://dx.doi.org/10.1186/1471-2202-13-S1-P2
DOI10.1186/1471-2202-13-S1-P2