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    Realization Law of Pragnanz and Closure of Gestalt Theory Using Neural Network Modeling and Active Learning Method

    , M.Sc. Thesis Sharif University of Technology Safaei, Negin (Author) ; Bagheri Shouraki, Saeed (Supervisor) ; Mirian Hossinabadi, Maryam (Supervisor)
    Abstract
    Human brain is one the most efficient biological neural network that is capable of performing most complicated tasks in very short time. Visual system as a part of the brain can process the visual records from the environment and perform very useful processes on them. The information provided from visual system processes play important roles in human intelligence. In this thesis we introduce and investigate one of the well-known theories about visual system called gestalt theories. These theories tried to define how a biological neural network can perform such results. Gestalt theorists developed rules of perception to explain their ideas including Law of Pragnanz, Similarity, Closure,...