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Graphics Recognition. Current Trends and Evolutions

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Cover of 'Graphics Recognition. Current Trends and Evolutions'

Table of Contents

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    Book Overview
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    Chapter 1 Automated Extraction of Data from Binary Phase Diagrams for Discovery of Metallic Glasses
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    Chapter 2 An Approach for Detecting Circular Callouts in Architectural, Engineering and Constructional Drawing Documents
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    Chapter 3 A System for Automatic Elevation Datum Detection and Hyperlinking of AEC Drawing Documents
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    Chapter 4 Multimodal Classification of Document Embedded Images
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    Chapter 5 Searching for a Compressed Polyline with a Minimum Number of Vertices (Discrete Solution)
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    Chapter 6 Pen-Based Music Document Transcription with Convolutional Neural Networks
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    Chapter 7 Optical Music Recognition by Long Short-Term Memory Networks
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    Chapter 8 Extracting Information from Molecular Pathway Diagrams
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    Chapter 9 Extraction of Ancient Map Contents Using Trees of Connected Components
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    Chapter 10 Extracting the February 1956 Ground Level Enhancement Event from Legacy Cosmic Ray Recordings
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    Chapter 11 Engineering Drawing Challenge II
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    Chapter 12 Discussion Group Summary: Optical Music Recognition
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    Chapter 13 Discussion Group Summary: Graphics Syntax in the Deep Learning Age
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    Chapter 14 Two Decades of GREC Workshop Series. Conclusions of GREC2017
Attention for Chapter 7: Optical Music Recognition by Long Short-Term Memory Networks
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Chapter title
Optical Music Recognition by Long Short-Term Memory Networks
Chapter number 7
Book title
Graphics Recognition. Current Trends and Evolutions
Published by
Springer, Cham, November 2017
DOI 10.1007/978-3-030-02284-6_7
Book ISBNs
978-3-03-002283-9, 978-3-03-002284-6
Authors

Arnau Baró, Pau Riba, Jorge Calvo-Zaragoza, Alicia Fornés, Baró, Arnau, Riba, Pau, Calvo-Zaragoza, Jorge, Fornés, Alicia

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 43%
Unknown 4 57%
Readers by discipline Count As %
Computer Science 2 29%
Chemistry 1 14%
Unknown 4 57%

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