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Articulated Motion and Deformable Objects

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Cover of 'Articulated Motion and Deformable Objects'

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 5: Capturing Industrial Machinery into Virtual Reality
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