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Articulated Motion and Deformable Objects

Overview of attention for book
Articulated Motion and Deformable Objects
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Mammographic Mass Segmentation Using Fuzzy C–means and Decision Trees
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    Chapter 2 Refining the Pose: Training and Use of Deep Recurrent Autoencoders for Improving Human Pose Estimation
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    Chapter 3 How Can Deep Neural Networks Be Generated Efficiently for Devices with Limited Resources?
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    Chapter 4 Controlling a Smartphone with Brain-Computer Interfaces: A Preliminary Study
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    Chapter 5 Capturing Industrial Machinery into Virtual Reality
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    Chapter 6 Leishmaniasis Parasite Segmentation and Classification Using Deep Learning
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    Chapter 7 Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset
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    Chapter 8 Shape and Appearance Based Sequenced Convnets to Detect Real-Time Face Attributes on Mobile Devices
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    Chapter 9 Image Colorization Using Generative Adversarial Networks
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    Chapter 10 Multimodal Deep Learning for Advanced Driving Systems
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    Chapter 11 Optical Recognition of Numerical Characters in Digital Images of Glucometers
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    Chapter 12 A Comparison of Text String Similarity Algorithms for POI Name Harmonisation
Attention for Chapter 2: Refining the Pose: Training and Use of Deep Recurrent Autoencoders for Improving Human Pose Estimation
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Citations

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2 Mendeley
Summary Dimensions citations
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Chapter title
Refining the Pose: Training and Use of Deep Recurrent Autoencoders for Improving Human Pose Estimation
Chapter number 2
Book title
Articulated Motion and Deformable Objects
Published by
Springer, Cham, July 2018
DOI 10.1007/978-3-319-94544-6_2
Book ISBNs
978-3-31-994543-9, 978-3-31-994544-6
Authors

Niall McLaughlin, Jesus Martinez del Rincon, McLaughlin, Niall, Martinez del Rincon, Jesus

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Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 100%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%

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