Showing 11,261 - 11,280 results of 11,333 for search '"CNN"', query time: 0.31s Refine Results
  1. 11261
    Published 2010
    ... Extended Kalman Filtering (CNN-NDEKF) to train the model for this binary classification problem...
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  2. 11262
    by Klein, Richard
    Published 2017
    ... to unseen subjects. While more computationally expensive than the SVM, the CNN approach lends itself...
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  3. 11263
  4. 11264
    by Mohamad, Anfar Mohamad Rimas
    Published 2021
    ... with Support Vector Machine (SVM), Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN...
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    Dissertation
  5. 11265
    ..., Sumários.org7 e Catálogo Coletivo Nacional de Publicações Seriadas (CNN)8. Em janeiro de 2012, foram colhidos...
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    Article
  6. 11266
    by Hsu, Heng-Wei, 許恆瑋
    Published 2018
    ... regression loss, to train a convolutional neural network (CNN) that is dedicated to estimating head poses...
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  7. 11267
    by Chakravarty, Saurabh
    Published 2017
    ... propose to use sophisticated deep learning techniques like Convolutional Neural Networks (CNN) that can...
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  8. 11268
    by Mukherjee, Anika
    Published 2021
    ... learning approaches were compared - Support Vector Machine (SVM) and Convolutional Neural Network (CNN...
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  9. 11269
    by Yoo, Gene Ryan
    Published 2021
    ... in computational complexity relative to standard CNN and WRN training (with Drop Out and Batch Normalization).</p...
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  10. 11270
    ... and the patients’ gBRCA mutation status.MethodsIn this study, we trained a deep convolutional neural network (CNN...
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    Article
  11. 11271
    ... total of 136,888 vessel bounding-box images. Multiple CNN detector architectures are evaluated in-depth...
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    Article
  12. 11272
  13. 11273
  14. 11274
  15. 11275
  16. 11276
  17. 11277
  18. 11278
  19. 11279
    ...來源的主力;而這現象意味著部分國家的新聞媒體已逐漸發展成全球性的新聞媒體集團,並享有全球性的新聞市場(如:CNN),為世界各地傳遞與提供新聞訊息。 雖然國際新聞資訊流通失衡的現象在全球化的傳播...
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  20. 11280
    by Nicola Strisciuglio
    Published 2018-03-01
    ... deep learning techniques and convolutional neural networks (CNN). Representation learning aims...
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    Article