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Showing 1 to 9 of 9 for “"Art Networks"”.

  1. A Comparison of Image Classification with Different Activation Functions in Balanced and Unbalanced Datasets

    … automated models. The use of deep neural networks to help doctors make the correct diagnosis has dramatically reduced the pressure on the healthcare system. Promoting the improvement of diagnosis networks depends not only on the network structure design but also on the activation function …

    vt Repository record for A Comparison of Image Classification with Different Activation Functions in Balanced and Unbalanced Datasets (opens in a new tab)

  2. Globalizing Kenyan Culture: Jua Kali & the Transformation of Contemporary Kenyan Art: 1960-2010

    … phenomenon as an African Renaissance. This is particularly the case in Kenya where a contemporary art movement is flourishing through both local and global art networks. But the question remains: how in the midst of poverty and political instability can there be so much cultural productivity? …

    loyola-thes Repository record for Globalizing Kenyan Culture: Jua Kali & the Transformation of Contemporary Kenyan Art: 1960-2010 (opens in a new tab)

  3. Spatial Analysis and Actor-Network Theory: A multi-scalar analytical study of the Chumash rock art of South-Central California

    … a more holistic approach to study Chumash rock art throughout their entire geographic region within South-Central California by applying geographic information systems (GIS), incorporating ethnohistoric and ethnographic data and utilising associated archaeological material under an Actor-Network …

    cent-lancashire Repository record for Spatial Analysis and Actor-Network Theory: A multi-scalar analytical study of the Chumash rock art of South-Central California (opens in a new tab)

  4. Structural Priors in Deep Neural Networks

    … Despite breakthroughs in training deep networks, there remains a lack of understanding of both the optimization and structure of deep networks. The approach advocated by many researchers in the field has been to train monolithic networks with excess complexity, and strong regularization …

    cambridge Repository record for Structural Priors in Deep Neural Networks (opens in a new tab)

  5. The refusal of the work of art: aesthetics and autonomy in Italy, 1965-1985

    The Refusal of the Work of Art: Aesthetics and Autonomy in Italy, 1965-1985, explores the nature of doing things together through a cultural history of aesthetics and politics in post-1968 Italy, organized around a theoretical investigation of the concept of work. During this period the political …

    umn Repository record for The refusal of the work of art: aesthetics and autonomy in Italy, 1965-1985 (opens in a new tab)

  6. Monitoring and anomaly detection in solar thermal systems using adaptive resonance theory neural networks

    … Diagnosis (FDD) in SHW systems is an important part of maintaining proper performance, reducing power consumption and unnecessary peak electricity demand. The aim of the current work is to develop anomaly detection system that can reliably detect both anticipated and unforeseen faults and can be …

    unm Repository record for Monitoring and anomaly detection in solar thermal systems using adaptive resonance theory neural networks (opens in a new tab)

  7. Genetically Engineered Adaptive Resonance Theory (art) Neural Network Architectures

    Fuzzy ARTMAP (FAM) is currently considered to be one of the premier neural network architectures in solving classification problems. One of the limitations of Fuzzy ARTMAP that has been extensively reported in the literature is the category proliferation problem. That is Fuzzy ARTMAP has the …

    ucf

  8. Optimization Of Network Parameters And Semi-supervision In Gaussian Art Architectures

    In this thesis we extensively experiment with two ART (adaptive resonance theory) architectures called Gaussian ARTMAP (GAM) and Distributed Gaussian ARTMAP (dGAM). Both of these classifiers have been successfully used in the past on a variety of applications. One of our contributions in this …

    ucf

  9. Mechanisms of hippocampal relational memory binding

    … damage to the hippocampus and in college-aged participants, 3) a pair of computational models of relational memory binding, encoding, and reconstruction. These experiments all touch on a larger debate about memory representations that dates back at least to Bartlett (1932), and touches on …

    uiuc Repository record for Mechanisms of hippocampal relational memory binding (opens in a new tab)