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Image Analysis and Recognition

Overview of attention for book
Image Analysis and Recognition
Springer, Cham

Table of Contents

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    Book Overview
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    Chapter 1 A Weight-Selection Strategy on Training Deep Neural Networks for Imbalanced Classification
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    Chapter 2 End-to-End Deep Learning for Driver Distraction Recognition
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    Chapter 3 Deep CNN with Graph Laplacian Regularization for Multi-label Image Annotation
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    Chapter 4 Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing
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    Chapter 5 Depth from Defocus via Active Quasi-random Point Projections: A Deep Learning Approach
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    Chapter 6 Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification
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    Chapter 7 Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction
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    Chapter 8 Left Ventricle Wall Detection from Ultrasound Images Using Shape and Appearance Information
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    Chapter 9 Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification
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    Chapter 10 A Machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer
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    Chapter 11 Ejection Fraction Estimation Using a Wide Convolutional Neural Network
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    Chapter 12 Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images
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    Chapter 13 Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields
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    Chapter 14 Curvelet-Based Bayesian Estimator for Speckle Suppression in Ultrasound Imaging
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    Chapter 15 Object Boundary Based Denoising for Depth Images
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    Chapter 16 A Note on Boosting Algorithms for Image Denoising
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    Chapter 17 K-Autoregressive Clustering: Application on Terahertz Image Analysis
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    Chapter 18 Scale and Rotation Invariant Character Segmentation from Coins
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    Chapter 19 Image Segmentation Based on Solving the Flow in the Mesh with the Connections of Limited Capacities
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    Chapter 20 Exploiting Semantic Segmentation for Robust Camera Motion Classification
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    Chapter 21 An Event-Based Optical Flow Algorithm for Dynamic Vision Sensors
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    Chapter 22 People’s Re-identification Across Multiple Non-overlapping Cameras by Local Discriminative Patch Matching
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    Chapter 23 Hybrid Multi-modal Fusion for Human Action Recognition
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    Chapter 24 Change Detection in Urban Streets by a Real Time Lidar Scanner and MLS Reference Data
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    Chapter 25 Creating Immersive Virtual Reality Scenes Using a Single RGB-D Camera
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    Chapter 26 Sunshine Hours and Sunlight Direction Using Shadow Detection in a Video
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    Chapter 27 People-Flow Counting Using Depth Images for Embedded Processing
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    Chapter 28 Salient Object Detection in Images by Combining Objectness Clues in the RGBD Space
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    Chapter 29 Development of an Active Shape Model Using the Discrete Cosine Transform
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    Chapter 30 Ground Plane Segmentation Using Artificial Neural Network for Pedestrian Detection
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    Chapter 31 An Improved Directional Convexity Measure for Binary Images
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    Chapter 32 Learning Salient Structures for the Analysis of Symmetric Patterns
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    Chapter 33 Triplet Networks Feature Masking for Sketch-Based Image Retrieval
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    Chapter 34 Are You Smiling as a Celebrity? Latent Smile and Gender Recognition
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    Chapter 35 An Empirical Analysis of Deep Feature Learning for RGB-D Object Recognition
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    Chapter 36 Image Registration Based on a Minimized Cost Function and SURF Algorithm
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    Chapter 37 A Better Trajectory Shape Descriptor for Human Activity Recognition
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    Chapter 38 Gaussian Mixture Trees for One Class Classification in Automated Visual Inspection
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    Chapter 39 Shadow Detection for Vehicle Classification in Urban Environments
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    Chapter 40 Input Fast-Forwarding for Better Deep Learning
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    Chapter 41 Improving Convolutional Neural Network Design via Variable Neighborhood Search
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    Chapter 42 Fast Spectral Clustering Using Autoencoders and Landmarks
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    Chapter 43 Improved Face and Head Detection Based on Traditional Middle Eastern Clothing
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    Chapter 44 Unsupervised Group Activity Detection by Hierarchical Dirichlet Processes
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    Chapter 45 Classification Boosting by Data Decomposition Using Consensus-Based Combination of Classifiers
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    Chapter 46 Classification Using Mixture of Discriminative Learners: The Case of Compositional Data
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    Chapter 47 Mesh-Based Active Model Initialization for Multiple Organ Segmentation in MR Images
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    Chapter 48 Sperm Flagellum Center-Line Tracing in Fluorescence 3D+t Low SNR Stacks Using an Iterative Minimal Path Method
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    Chapter 49 Curvelet-Based Classification of Brain MRI Images
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    Chapter 50 A Novel Automatic Method to Evaluate Scoliotic Trunk Shape Changes in Different Postures
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    Chapter 51 Breast Density Classification Using Local Ternary Patterns in Mammograms
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    Chapter 52 Segmentation of Prostate in Diffusion MR Images via Clustering
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    Chapter 53 Facial Skin Classification Using Convolutional Neural Networks
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    Chapter 54 Automatic Detection of Globules, Streaks and Pigment Network Based on Texture and Color Analysis in Dermoscopic Images
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    Chapter 55 Learning to Deblur Adaptive Optics Retinal Images
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    Chapter 56 A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images
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    Chapter 57 Adversarial Synthesis of Retinal Images from Vessel Trees
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    Chapter 58 Automated Analysis of Directional Optical Coherence Tomography Images
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    Chapter 59 Contrast Enhancement by Top-Hat and Bottom-Hat Transform with Optimal Structuring Element: Application to Retinal Vessel Segmentation
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    Chapter 60 Retinal Biomarkers of Alzheimer’s Disease: Insights from Transgenic Mouse Models
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    Chapter 61 Particle Swarm Optimization Approach for the Segmentation of Retinal Vessels from Fundus Images
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    Chapter 62 Retinal Vessel Segmentation from a Hyperspectral Camera Images
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    Chapter 63 The Potential of Deep Features for Small Object Class Identification in Very High Resolution Remote Sensing Imagery
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    Chapter 64 Segmentation of LiDAR Intensity Using CNN Feature Based on Weighted Voting
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    Chapter 65 A Lattice-Theoretic Approach for Segmentation of Truss-Like Porous Objects in Outdoor Aerial Scenes
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    Chapter 66 Non-dictionary Aided Sparse Unmixing of Hyperspectral Images via Weighted Nonnegative Matrix Factorization
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    Chapter 67 Stroke Width Transform for Linear Structure Detection: Application to River and Road Extraction from High-Resolution Satellite Images
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    Chapter 68 Real Time Fault Detection in Photovoltaic Cells by Cameras on Drones
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    Chapter 69 Cow Behavior Recognition Using Motion History Image Feature
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    Chapter 70 Footnote-Based Document Image Classification
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    Chapter 71 Feature Learning for Footnote-Based Document Image Classification
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    Chapter 72 Analysis of Sloshing in Tanks Using Image Processing
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    Chapter 73 Light Field Estimation in the Ultraviolet Spectrum
Overall attention for this book and its chapters
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Mentioned by

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2 X users
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4 patents

Citations

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16 Dimensions

Readers on

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42 Mendeley
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Title
Image Analysis and Recognition
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-59876-5
ISBNs
978-3-31-959875-8, 978-3-31-959876-5
Editors

Fakhri Karray, Aurélio Campilho, Farida Cheriet

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 5%
Student > Master 2 5%
Unknown 38 90%
Readers by discipline Count As %
Engineering 3 7%
Medicine and Dentistry 1 2%
Unknown 38 90%

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