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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Cover of 'Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 A Citation k-NN Approach for Facial Expression Recognition
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    Chapter 2 Mining Generalized Closed Patterns from Multi-graph Collections
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    Chapter 3 Edge Detection Based on Digital Shape Elongation Measure
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    Chapter 4 Mining the Criminal Data of Rio de Janeiro: Analyzing the Impact of the Pacifying Police Units Deployment
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    Chapter 5 Going Deeper on BioImages Classification: A Plant Leaf Dataset Case Study
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    Chapter 6 Benchmarking Head Pose Estimation in-the-Wild
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    Chapter 7 Forensic Document Examination: Who Is the Writer?
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    Chapter 8 Traversability Cost Identification of Dynamic Environments Using Recurrent High Order Neural Networks for Robot Navigation
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    Chapter 9 Texture Classification of Phases of Ti-6Al-4V Titanium Alloy Using Fractal Descriptors
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    Chapter 10 Pyramidal Zernike Over Time: A Spatiotemporal Feature Descriptor Based on Zernike Moments
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    Chapter 11 A Multilabel Extension of LDA Based on the Gram-Schmidt Orthogonalization Procedure
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    Chapter 12 Linear Modelling of Cerebral Autoregulation System Using Genetic Algorithms
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    Chapter 13 Knowledge Transfer for Writer Identification
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    Chapter 14 Real-Time Brand Logo Recognition
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    Chapter 15 Retinal Vessels Segmentation Based on a Convolutional Neural Network
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    Chapter 16 DNLM-IIFFT: An Implementation of the Deceived Non Local Means Filter Using Integral Images and the Fast Fourier Transform for a Reduced Computational Cost
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    Chapter 17 Utilizing Deep Learning and 3DLBP for 3D Face Recognition
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    Chapter 18 Efficient Hyperparameter Optimization in Convolutional Neural Networks by Learning Curves Prediction
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    Chapter 19 Evaluation of Deep Feedforward Neural Networks for Classification of Diffuse Lung Diseases
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    Chapter 20 Non-dermatoscopic Image Analysis for the Recognition of Malignant Skin Diseases with Convolutional Neural Network and Autoencoders
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    Chapter 21 Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields
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    Chapter 22 Improving the Classification of Volcanic Seismic Events Extracting New Seismic and Speech Features
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    Chapter 23 An Automatic System for Computing Malaria Parasite Density in Thin Blood Films
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    Chapter 24 A Local Branching Heuristic for the Graph Edit Distance Problem
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    Chapter 25 Emotion Assessment by Variability-Based Ranking of Coherence Features from EEG
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    Chapter 26 Fusion of Deep Learning Descriptors for Gesture Recognition
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    Chapter 27 Ultimate Leveling Based on Mumford-Shah Energy Functional Applied to Plant Detection
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    Chapter 28 Sclera Segmentation in Face Images Using Image Foresting Transform
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    Chapter 29 Use of Machine Learning to Improve the Robustness of Spatial Estimation of Evapotranspiration
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    Chapter 30 Automatic Peripheral Nerve Segmentation in Presence of Multiple Annotators
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    Chapter 31 Sparse Hilbert Embedding-Based Statistical Inference of Stochastic Ecological Systems
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    Chapter 32 Fingerprint Presentation Attack Detection Method Based on a Bag-of-Words Approach
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    Chapter 33 Multi-objective Overlapping Community Detection by Global and Local Approaches
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    Chapter 34 Impulse Response Estimation of Linear Time-Invariant Systems Using Convolved Gaussian Processes and Laguerre Functions
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    Chapter 35 A Novel Hybrid Data Reduction Strategy and Its Application to Intrusion Detection
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    Chapter 36 Clustering-Based Undersampling to Support Automatic Detection of Focal Cortical Dysplasias
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    Chapter 37 Ultrasonic Assessment of Platelet-Rich Plasma by Digital Signal Processing Techniques
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    Chapter 38 3D Probabilistic Morphable Models for Brain Tumor Segmentation
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    Chapter 39 Multi Target Tracking Using Determinantal Point Processes
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    Chapter 40 Boosted Projection: An Ensemble of Transformation Models
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    Chapter 41 Full-Quaternion Color Correction in Images for Person Re-identification
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    Chapter 42 Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting
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    Chapter 43 On the Use of Pre-trained Neural Networks for Different Face Recognition Tasks
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    Chapter 44 Many-Objective Ensemble-Based Multilabel Classification
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    Chapter 45 Bio-Chemical Data Classification by Dissimilarity Representation and Template Selection
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    Chapter 46 Abnormal Event Detection in Video Using Motion and Appearance Information
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    Chapter 47 Efficient and Effective Face Frontalization for Face Recognition in the Wild
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    Chapter 48 Path-Gradient – A Theory of Computing Full Intensity-Transition Between Two Points
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    Chapter 49 A Robust Indoor Scene Recognition Method Based on Sparse Representation
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    Chapter 50 Deep Convolutional Neural Networks and Noisy Images
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    Chapter 51 Spiking Hough for Shape Recognition
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    Chapter 52 Region-Based Classification of PolSAR Data Through Kernel Methods and Stochastic Distances
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    Chapter 53 Hand Posture Recognition Using Convolutional Neural Network
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    Chapter 54 On Semantic Solutions for Efficient Approximate Similarity Search on Large-Scale Datasets
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    Chapter 55 Self-organizing Maps for Motor Tasks Recognition from Electrical Brain Signals
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    Chapter 56 Semantic Segmentation of Color Eye Images for Improving Iris Segmentation
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    Chapter 57 A Single-Step 2D Thinning Scheme with Deletion of P-Simple Points
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    Chapter 58 Non Local Means Image Filtering Using Clustering
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    Chapter 59 Neural Networks for the Reconstruction and Separation of High Energy Particles in a Preshower Calorimeter
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    Chapter 60 Noisy Character Recognition Using Deep Convolutional Neural Networks
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    Chapter 61 A Flexible Framework for the Evaluation of Unsupervised Image Annotation
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    Chapter 62 Unsupervised Local Regressive Attributes for Pedestrian Re-identification
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    Chapter 63 A Deep Boltzmann Machine-Based Approach for Robust Image Denoising
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    Chapter 64 Discovering Bitcoin Mixing Using Anomaly Detection
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    Chapter 65 A Scale-Space Approach for Multiscale Shape Analysis
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    Chapter 66 An Unsupervised Approach for Eye Sclera Segmentation
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    Chapter 67 An Approach to Clustering Using the Expectation-Maximization and Selection of Attributes ReliefF Applied to Water Treatment Plants process
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    Chapter 68 A Two-Step Neural Network Approach to Passage Retrieval for Open Domain Question Answering
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    Chapter 69 Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures
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    Chapter 70 Class Confusability Reduction in Audio-Visual Speech Recognition Using Random Forests
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    Chapter 71 Exploring Image Bit Planes for Video Shot Boundary Detection
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    Chapter 72 Convolutional Network for EEG-Based Biometric
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    Chapter 73 Skeleton Pruning Based on Elongation and Size of Object’s Limbs and Boundary’s Convexities
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    Chapter 74 Volume Rendering by Stochastic Neighbor Embedding-Based 2D Transfer Function Building
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    Chapter 75 Text Localization in Born-Digital Images of Advertisements
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    Chapter 76 Deep Learning Techniques Applied to the Cattle Brand Recognition
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    Chapter 77 Efficient Transfer Learning for Robust Face Spoofing Detection
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    Chapter 78 A Kernel-Based Optimum-Path Forest Classifier
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    Chapter 79 A Possibilistic c-means Clustering Model with Cluster Size Estimation
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    Chapter 80 Randomized Neural Network Based Signature for Classification of Titanium Alloy Microstructures
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    Chapter 81 Pap-smear Image Classification Using Randomized Neural Network Based Signature
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    Chapter 82 Estimation of Pedestrian Height Using Uncalibrated Cameras
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    Chapter 83 Semi-supervised Online Kernel Semantic Embedding for Multi-label Annotation
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    Chapter 84 Ultrasonic Backscatter Signal Processing Technique for the Characterization of Animal Lymph Node
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    Chapter 85 A Distributed Shared Nearest Neighbors Clustering Algorithm
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    Chapter 86 Automatic Classification of Optical Defects of Mirrors from Ronchigram Images Using Bag of Visual Words and Support Vector Machines
Overall attention for this book and its chapters
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Title
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-75193-1
ISBNs
978-3-31-975192-4, 978-3-31-975193-1
Editors

Marcelo Mendoza, Sergio Velastín

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Student > Bachelor 4 18%
Student > Ph. D. Student 3 14%
Researcher 3 14%
Student > Doctoral Student 2 9%
Other 1 5%
Unknown 4 18%
Readers by discipline Count As %
Engineering 11 50%
Computer Science 7 32%
Unknown 4 18%