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Pattern Recognition Applications and Methods

7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Maria De Marsico

    1. Computer Science, Sapienza University of Rome, Rome, Italy

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  2. Gabriella Sanniti di Baja

    1. ICAR-CNR, Naples, Italy

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    You can also search for this editor in PubMed   Google Scholar

  3. Ana Fred

    1. University of Lisbon, Lisbon, Portugal

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11351)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ICPRAM 2018.

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About this book

This book contains revised and extended versions of selected papers from the 7th International Conference on Pattern Recognition, ICPRAM 2018, held in Porto, Portugal, in January 2018. The 10 full papers presented were carefully reviewed and selected from 102 initial submissions.

The core of ICPRAM  is intended to include theoretical studies yielding new insights in Pattern Recognition methods, as well as experimental validation and concrete application of Pattern Recognition techniques to real-world problems.


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Table of contents (10 papers)

  1. Front Matter

    Pages I-XVI
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  2. Theory and Methods

    1. Front Matter

      Pages 1-1
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    2. Street2Fashion2Shop: Enabling Visual Search in Fashion e-Commerce Using Studio Images

      • Julia Lasserre, Christian Bracher, Roland Vollgraf
      Pages 3-26

    3. Interactive Design Support for Architecture Projects During Early Phases Based on Recurrent Neural Networks

      • Johannes Bayer, Syed Saqib Bukhari, Andreas Dengel
      Pages 27-43

    4. CNN-Based Deep Spatial Pyramid Match Kernel for Classification of Varying Size Images

      • Shikha Gupta, Manjush Mangal, Akshay Mathew, Dileep Aroor Dinesh, Arnav Bhavsar, Veena Thenkanidiyoor
      Pages 44-64

    5. Earth Mover’s Distance Between Rooted Labeled Unordered Trees Formulated from Complete Subtrees

      • Taiga Kawaguchi, Takuya Yoshino, Kouichi Hirata
      Pages 65-88

    6. TIMIT and NTIMIT Phone Recognition Using Convolutional Neural Networks

      • Cornelius Glackin, Julie Wall, Gérard Chollet, Nazim Dugan, Nigel Cannings
      Pages 89-100

    7. An Efficient Hashing Algorithm for NN Problem in HD Spaces

      • Faraj Alhwarin, Alexander Ferrein, Ingrid Scholl
      Pages 101-115

    8. Stochastic Analysis of Time-Difference and Doppler Estimates for Audio Signals

      • Gabrielle Flood, Anders Heyden, Kalle Åström
      Pages 116-138

  3. Applications

    1. Front Matter

      Pages 139-139
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    2. Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods

      • Marcin Kopaczka, Marco Saggiomo, Moritz Güttler, Kevin Kielholz, Dorit Merhof
      Pages 141-163

    3. Video Activity Recognition Using Sequence Kernel Based Support Vector Machines

      • Sony S. Allappa, Veena Thenkanidiyoor, Dileep Aroor Dinesh
      Pages 164-185

    4. Visual Cryptography for Detecting Hidden Targets by Small-Scale Robots

      • Danilo Avola, Luigi Cinque, Gian Luca Foresti, Daniele Pannone
      Pages 186-201

  4. Back Matter

    Pages 203-203
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Other volumes

  1. Pattern Recognition Applications and Methods

Editors and Affiliations

  • Computer Science, Sapienza University of Rome, Rome, Italy

    Maria De Marsico

  • ICAR-CNR, Naples, Italy

    Gabriella Sanniti di Baja

  • University of Lisbon, Lisbon, Portugal

    Ana Fred

Bibliographic Information

  • Book Title: Pattern Recognition Applications and Methods

  • Book Subtitle: 7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers

  • Editors: Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-05499-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-05498-4Published: 05 January 2019

  • eBook ISBN: 978-3-030-05499-1Published: 04 January 2019

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVI, 203

  • Number of Illustrations: 59 b/w illustrations, 92 illustrations in colour

  • Topics: Pattern Recognition, Image Processing and Computer Vision, Machine Learning

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