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Image Analysis and Processing – ICIAP 2019

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Cover of 'Image Analysis and Processing – ICIAP 2019'

Table of Contents

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    Book Overview
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    Chapter 1 Video-Based Convolutional Attention for Person Re-Identification
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    Chapter 2 A New Descriptor for Keypoint-Based Background Modeling
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    Chapter 3 Emotional State Recognition with Micro-expressions and Pulse Rate Variability
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    Chapter 4 Deep Motion Model for Pedestrian Tracking in 360 Degrees Videos
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    Chapter 5 Comparisons of Visual Activity Primitives for Voice Activity Detection
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    Chapter 6 Vehicle Trajectories from Unlabeled Data Through Iterative Plane Registration
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    Chapter 7 Particle Filtering for Tracking in 360 Degrees Videos Using Virtual PTZ Cameras
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    Chapter 8 Dynamic Texture Classification Using Deterministic Partially Self-avoiding Walks on Networks
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    Chapter 9 Open Set Recognition for Unique Person Counting via Virtual Gates
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    Chapter 10 A Low-Cost Computer Vision System for Real-Time Tennis Analysis
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    Chapter 11 Virtual Crowds: An LSTM-Based Framework for Crowd Simulation
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    Chapter 12 Worldly Eyes on Video: Learnt vs. Reactive Deployment of Attention to Dynamic Stimuli
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    Chapter 13 Relation, Transition and Comparison Between the Adaptive Nearest Neighbor Rule and the Hypersphere Classifier
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    Chapter 14 A Novel Anomaly Score for Isolation Forests
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    Chapter 15 Adaptive Hybrid Representation for Graph-Based Semi-supervised Classification
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    Chapter 16 Active Two Phase Collaborative Representation Classifier for Image Categorization
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    Chapter 17 Gesture Recognition by Leap Motion Controller and LSTM Networks for CAD-oriented Interfaces
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    Chapter 18 A Decision Tree for Automatic Diagnosis of Parkinson’s Disease from Offline Drawing Samples: Experiments and Findings
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    Chapter 19 Contrastive Explanations to Classification Systems Using Sparse Dictionaries
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    Chapter 20 Regularized Evolutionary Algorithm for Dynamic Neural Topology Search
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    Chapter 21 Manual Annotations on Depth Maps for Human Pose Estimation
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    Chapter 22 Low-Complexity Scene Understanding Network
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    Chapter 23 Image Anomaly Detection with Capsule Networks and Imbalanced Datasets
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    Chapter 24 Improving Facial Emotion Recognition Systems with Crucial Feature Extractors
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    Chapter 25 MetalGAN: A Cluster-Based Adaptive Training for Few-Shot Adversarial Colorization
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    Chapter 26 Towards Multi-source Adaptive Semantic Segmentation
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    Chapter 27 Learning Pedestrian Detection from Virtual Worlds
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    Chapter 28 Video Synthesis from Intensity and Event Frames
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    Chapter 29 Hebbian Learning Meets Deep Convolutional Neural Networks
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    Chapter 30 Classification of Skin Lesions by Combining Multilevel Learnings in a DenseNet Architecture
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    Chapter 31 Take a Ramble into Solution Spaces for Classification Problems in Neural Networks
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    Chapter 32 Supervised Two-Stage Transfer Learning on Imbalanced Dataset for Sport Classification
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    Chapter 33 Variational Autoencoder Inspired by Brain’s Convergence–Divergence Zones for Autonomous Driving Application
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    Chapter 34 Hyperspectral Image Classification via Convolutional Neural Network Based on Dilation Layers
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    Chapter 35 Estimation of Speed and Distance of Surrounding Vehicles from a Single Camera
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    Chapter 36 A Convolutional Neural Network for Virtual Screening of Molecular Fingerprints
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    Chapter 37 Single Image Super-Resolution for Optical Satellite Scenes Using Deep Deconvolutional Network
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    Chapter 38 Genuine Personality Recognition from Highly Constrained Face Images
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    Chapter 39 Evaluation of Continuous Image Features Learned by ODE Nets
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    Chapter 40 An UAV Autonomous Warehouse Inventorying by Deep Learning
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    Chapter 41 3D Shape Segmentation with Geometric Deep Learning
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    Chapter 42 Within-Network Ensemble for Face Attributes Classification
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    Chapter 43 Visual and Textual Sentiment Analysis of Daily News Social Media Images by Deep Learning
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    Chapter 44 Deep Compact Person Re-Identification with Distractor Synthesis via Guided DC-GANs
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    Chapter 45 Dimensionality Reduction Using Discriminative Autoencoders for Remote Sensing Image Retrieval
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    Chapter 46 Multiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs
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    Chapter 47 Performance Evaluation of Learned 3D Features
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    Chapter 48 3DMM for Accurate Reconstruction of Depth Data
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    Chapter 49 The Effects of Data Sources: A Baseline Evaluation of the MoCA Dataset
Attention for Chapter 27: Learning Pedestrian Detection from Virtual Worlds
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Chapter title
Learning Pedestrian Detection from Virtual Worlds
Chapter number 27
Book title
Image Analysis and Processing – ICIAP 2019
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-30642-7_27
Book ISBNs
978-3-03-030641-0, 978-3-03-030642-7
Authors

Giuseppe Amato, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Amato, Giuseppe, Ciampi, Luca, Falchi, Fabrizio, Gennaro, Claudio, Messina, Nicola

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 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 22%
Student > Ph. D. Student 4 17%
Student > Master 4 17%
Other 2 9%
Student > Doctoral Student 1 4%
Other 0 0%
Unknown 7 30%
Readers by discipline Count As %
Computer Science 10 43%
Engineering 2 9%
Psychology 1 4%
Unknown 10 43%

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