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Pattern Recognition and Information Forensics

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Cover of 'Pattern Recognition and Information Forensics'

Table of Contents

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    Book Overview
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    Chapter 1 Deep Active Learning for In Situ Plankton Classification
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    Chapter 2 Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter
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    Chapter 3 Strategies for Tackling the Class Imbalance Problem in Marine Image Classification
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    Chapter 4 An Online Platform for Underwater Image Quality Evaluation
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    Chapter 5 Tracking Sponge Size and Behaviour with Fixed Underwater Observatories
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    Chapter 6 Enhancement of Low-Lighting Underwater Images Using Dark Channel Prior and Fast Guided Filters
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    Chapter 7 Underwater-GAN: Underwater Image Restoration via Conditional Generative Adversarial Network
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    Chapter 8 Single Image Plankton 3D Reconstruction from Extended Depth of Field Shadowgraph
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    Chapter 9 A Novel Method for Race Determination of Human Skulls
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    Chapter 10 Anchored Kernel Hashing for Cancelable Template Protection for Cross-Spectral Periocular Data
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    Chapter 11 Categorization of Document Image Tampering Techniques and How to Identify Them
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    Chapter 12 Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest
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    Chapter 13 Handwritten Texts for Personality Identification Using Convolutional Neural Networks
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    Chapter 14 Recognition of Apparent Personality Traits from Text and Handwritten Images
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    Chapter 15 Multimodal Database of Emotional Speech, Video and Gestures
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    Chapter 16 From Text to Speech: A Multimodal Cross-Domain Approach for Deception Detection
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Mentioned by

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6 X users
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2 patents

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4 Dimensions

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16 Mendeley
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Title
Pattern Recognition and Information Forensics
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-05792-3
ISBNs
978-3-03-005791-6, 978-3-03-005792-3
Editors

Zhang, Zhaoxiang, Suter, David, Tian, Yingli, Branzan Albu, Alexandra, Sidère, Nicolas, Jair Escalante, Hugo

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 25%
Student > Ph. D. Student 4 25%
Student > Bachelor 2 13%
Student > Doctoral Student 1 6%
Lecturer > Senior Lecturer 1 6%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Engineering 5 31%
Computer Science 4 25%
Agricultural and Biological Sciences 2 13%
Earth and Planetary Sciences 1 6%
Physics and Astronomy 1 6%
Other 0 0%
Unknown 3 19%