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Intelligent Data Processing

11th International Conference, IDP 2016, Barcelona, Spain, October 10–14, 2016, Revised Selected Papers

  • Vadim V. Strijov
  • Dmitry I. Ignatov
  • Konstantin V. Vorontsov
Conference proceedings IDP 2016
  • 883 Downloads

Part of the Communications in Computer and Information Science book series (CCIS, volume 794)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Machine Learning Theory with Applications

    1. Front Matter
      Pages 1-1
    2. Valeria Efimova, Andrey Filchenkov, Anatoly Shalyto
      Pages 15-27
    3. Sergey Dvoenko, Denis Pshenichny
      Pages 44-57
  3. Intelligent Data Processing in Life and Social Sciences

    1. Front Matter
      Pages 59-59
    2. Valentina Sulimova, Oleg Seredin, Vadim Mottl
      Pages 61-73
    3. Danil Gizdatullin, Jaume Baixeries, Dmitry I. Ignatov, Ekaterina Mitrofanova, Anna Muratova, Thomas H. Espy
      Pages 74-91
    4. Anna Yankovskaya, Yury Dementyev, Artem Yamshanov, Danil Lyapunov
      Pages 106-121
  4. Morphological and Technological Approaches to Image Analysis

    1. Front Matter
      Pages 123-123
    2. Gleb Odinokikh, Mikhail Korobkin, Vitaly Gnatyuk, Vladimir Eremeev
      Pages 140-150
  5. Back Matter
    Pages 163-163

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 11th International Conference on Intelligent Data Processing, IDP 2016, held in Barcelona, Spain, in October 2016.  

The 11 revised full papers were carefully reviewed and selected from 52 submissions. The papers of this volume are organized in topical sections on machine learning theory with applications; intelligent data processing in life and social sciences; morphological and technological approaches to image analysis.

Keywords

artificial intelligence big data computer vision data mining deep learning image analysis image communication systems image compression image processing image quality image segmentation machine learning matrix algebra Natural Language Processing (NLP) probability rate distortions signal distortion signal processing Support Vector Machines (SVM)

Editors and affiliations

  1. 1.Moscow Institute of Physics and TechnologyDolgoprudnyRussia
  2. 2.National Research University Higher School of EconomicsMoscowRussia
  3. 3.Yandex School of Data AnalysisMoscowRussia

Bibliographic information

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