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

By Alireza Alemi-Neissi, Carlo Baldassi, Alfredo Braunstein, Andrea Pagnani, Riccardo Zecchina and Davide Zoccolan
Publisher: Springer Nature
Year: 2012
DOI identifier: 10.1186/1471-2202-13-s1-p2
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Provided by: MUCC (Crossref)
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