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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

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Incremental Learning of People Identities
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    Chapter 2 Case-Based Reasoning – Methods, Techniques, and Applications
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    Chapter 3 Foveated Vision for Deepface Recognition
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    Chapter 4 Representation Learning for Underdefined Tasks
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    Chapter 5 Applying Self-attention for Stance Classification
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    Chapter 6 Applying OWA Operator in the Semantic Processing for Automatic Keyphrase Extraction
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    Chapter 7 Brazilian Presidential Elections in the Era of Misinformation: A Machine Learning Approach to Analyse Fake News
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    Chapter 8 Improved Document Filtering by Multilevel Term Relations
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    Chapter 9 TSTM: A Model to Predict Topics’ Popularity in News Providers
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    Chapter 10 Meta-learning of Text Classification Tasks
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    Chapter 11 Portuguese POS Tagging Using BLSTM Without Handcrafted Features
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    Chapter 12 A Binary Variational Autoencoder for Hashing
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    Chapter 13 Prototypes Generation from Multi-label Datasets Based on Granular Computing
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    Chapter 14 A Simple Proposal for Sentiment Analysis on Movies Reviews with Hidden Markov Models
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    Chapter 15 Optimizing Natural Language Processing Pipelines: Opinion Mining Case Study
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    Chapter 16 Predicting Customer Profitability Dynamically over Time: An Experimental Comparative Study
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    Chapter 17 Face Spoofing Detection on Low-Power Devices Using Embeddings with Spatial and Frequency-Based Descriptors
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    Chapter 18 Video Iris Recognition Based on Iris Image Quality Evaluation and Semantic Classification
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    Chapter 19 YOLO-FD: YOLO for Face Detection
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    Chapter 20 On Using Document Scanners for Minutiae-Based Palmprint Recognition
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    Chapter 21 Stacking Fingerprint Matching Algorithms for Latent Fingerprint Identification
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    Chapter 22 Detecting Steading Conversational Groups on an Still Image: A Single Relational Fuzzy Approach
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    Chapter 23 Multi-task Learning for Low-Resolution License Plate Recognition
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    Chapter 24 Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images
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    Chapter 25 Deep Generic Features for Tattoo Identification
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    Chapter 26 Analysis of the Impact of Ear Alignment on Unconstrained Ear Recognition
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    Chapter 27 Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification
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    Chapter 28 Role of EMG Rectification for Corticomuscular and Intermuscular Coherence Estimation of Spinocerebellar Ataxia Type 2 (SCA2)
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    Chapter 29 Face Recognition on Mobile Devices Based on Frames Selection
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    Chapter 30 Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods
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    Chapter 31 Computer Vision Approaches to Detect Bean Defects
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    Chapter 32 Automated Identification of Breast Cancer Using Digitized Mammogram Images
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    Chapter 33 Sparse-Based Feature Selection for Discriminating Between Crops and Weeds Using Field Images
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    Chapter 34 Automated Nuclei Segmentation in Dysplastic Histopathological Oral Tissues Using Deep Neural Networks
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    Chapter 35 A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data
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    Chapter 36 Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks
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    Chapter 37 Hermite Convolutional Networks
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    Chapter 38 Analytical Solution for the Optimal Addition of an Item to a Composite of Scores for Maximum Reliability
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    Chapter 39 A New Method to Evaluate Subgroup Discovery Algorithms
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    Chapter 40 KAdam: Using the Kalman Filter to Improve Adam algorithm
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    Chapter 41 Evaluating Restrictions in Pattern Based Classifiers
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    Chapter 42 BRIEF-Based Mid-Level Representations for Time Series Classification
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    Chapter 43 Continuous Hyper-parameter Configuration for Particle Swarm Optimization via Auto-tuning
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    Chapter 44 Feature Extraction of Long Non-coding RNAs: A Fourier and Numerical Mapping Approach
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    Chapter 45 Combinatorial Optimization Approach for Arabic Word Recognition Based on Adaptive Simulated Annealing
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    Chapter 46 Revisiting Machine Learning from Crowds a Mixture Model for Grouping Annotations
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    Chapter 47 A Model Based on Genetic Algorithm for Colorectal Cancer Diagnosis
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    Chapter 48 A Spatiotemporal Analysis of Taxis Demand: A Case Study in the Manizales City
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    Chapter 49 A Supervised Laplacian Eigenmap Algorithm for Visualization of Multi-label Data: SLE-ML
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    Chapter 50 Material Fracture Life Prediction Using Linear Regression Techniques Under High Temperature Creep Conditions
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    Chapter 51 Knowledge Extraction from Vector Machine Support in the Context of Depression in Children and Adolescents
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    Chapter 52 Multi-domain Aspect Extraction Based on Deep and Lifelong Learning
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    Chapter 53 A Framework for Distributed Data Processing
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    Chapter 54 Articulation Analysis in the Speech of Children with Cleft Lip and Palate
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    Chapter 55 A Wavelet Entropy Based Methodology for Classification Among Healthy, Mild Cognitive Impairment and Alzheimer’s Disease People
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    Chapter 56 Trainable COPE Features for Sound Event Detection
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    Chapter 57 Incremental Training of Neural Network for Motor Tasks Recognition Based on Brain-Computer Interface
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    Chapter 58 Supervised Relevance Analysis for Multiple Stein Kernels for Spatio-Spectral Component Selection in BCI Discrimination Tasks
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    Chapter 59 Performance of Different Average Methods for the Automatic Detection of Evoked Potentials
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    Chapter 60 Discrimination of Shoulder Flexion/Extension Motor Imagery Through EEG Spatial Features to Command an Upper Limb Robotic Exoskeleton
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    Chapter 61 Automatic Identification of Traditional Colombian Music Genres Based on Audio Content Analysis and Machine Learning Techniques
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    Chapter 62 Dual Watermarking for Handwritten Document Image Authentication and Copyright Protection for JPEG Compression Attacks
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    Chapter 63 A Survey of the Effects of Data Augmentation for Automatic Speech Recognition Systems
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    Chapter 64 Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users
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    Chapter 65 Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson’s Disease Patients
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    Chapter 66 Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Different Languages
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    Chapter 67 Bidirectional Alignment of Glottal Pulse Length Sequences for the Evaluation of Pitch Detection Algorithms
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    Chapter 68 Gait Recognition Using Pose Estimation and Signal Processing
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    Chapter 69 A Novel Scheme for Training Two-Stream CNNs for Action Recognition
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    Chapter 70 Parkinsonian Ocular Fixation Patterns from Magnified Videos and CNN Features
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    Chapter 71 Does Pooling Really Matter? An Evaluation on Gait Recognition
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    Chapter 72 Virtual Hand Training Platform Controlled Through Online Recognition of Motion Intention
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    Chapter 73 Video Popularity Forecasting to Improve Cache Miss Rate in Content Delivery Networks
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    Chapter 74 Piggybacking Detection Based on Coupled Body-Feet Recognition at Entrance Control
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 International Publishing, December 2019
DOI 10.1007/978-3-030-33904-3
ISBNs
978-3-03-033903-6, 978-3-03-033904-3
Editors

Nyström, Ingela, Hernández Heredia, Yanio, Milián Núñez, Vladimir

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The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 20%
Student > Bachelor 10 14%
Student > Ph. D. Student 7 10%
Researcher 5 7%
Student > Doctoral Student 3 4%
Other 9 13%
Unknown 21 30%
Readers by discipline Count As %
Computer Science 35 51%
Engineering 7 10%
Social Sciences 2 3%
Linguistics 1 1%
Agricultural and Biological Sciences 1 1%
Other 4 6%
Unknown 19 28%