Alemi-Neissi, A., Baldassi, C., Braunstein, A., Pagnani, A., Zecchina, R., & Zoccolan, D. (2012). Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition. BioMed Central.
Chicago Style citaatAlemi-Neissi, Alireza, Carlo Baldassi, Alfredo Braunstein, Andrea Pagnani, Riccardo Zecchina, en Davide Zoccolan. Information Theoretic and Machine Learning Approaches to Quantify Non-linear Visual Feature Interaction Underlying Visual Object Recognition. BioMed Central, 2012.
MLA citatieAlemi-Neissi, Alireza, et al. Information Theoretic and Machine Learning Approaches to Quantify Non-linear Visual Feature Interaction Underlying Visual Object Recognition. BioMed Central, 2012.