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Pattern Recognition

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Cover of 'Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 A Supervised Filter Feature Selection Method for Mixed Data Based on the Spectral Gap Score
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    Chapter 2 Motor Imagery Task Classification in EEG Signals with Spiking Neural Network
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    Chapter 3 A Comprehensive Methodology to Find Closed Mathematical Models from Experimental Data
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    Chapter 4 Novel Leak Location Approach in Water Distribution Networks with Zone Clustering and Classification
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    Chapter 5 Convolutional Genetic Programming
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    Chapter 6 Methods for Procedural Terrain Generation: A Review
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    Chapter 7 Some Variations of Upper Confidence Bound for General Game Playing
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    Chapter 8 Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification
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    Chapter 9 An Improved Convolutional Neural Network Architecture for Image Classification
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    Chapter 10 Estimation of Forest Carbon from Aerial Photogrammetry
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    Chapter 11 Using Synthetic Images for Deep Learning Recognition Process on Automatic License Plate Recognition
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    Chapter 12 A Review of Local Feature Algorithms and Deep Learning Approaches in Facial Expression Recognition with Tensorflow and Keras
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    Chapter 13 Detection and Tracking of Motorcycles in Congested Urban Environments Using Deep Learning and Markov Decision Processes
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    Chapter 14 Rock Detection in a Mars-Like Environment Using a CNN
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    Chapter 15 Towards a Rodent Tracking and Behaviour Detection System in Real Time
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    Chapter 16 Facial Re-identification on Non-overlapping Cameras and in Uncontrolled Environments
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    Chapter 17 Thermal Radiation Dynamics of Soil Surfaces with Unmanned Aerial Systems
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    Chapter 18 Intra-patient Arrhythmia Heartbeat Modeling by Gibbs Sampling
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    Chapter 19 Non-invasive Glucose Level Estimation: A Comparison of Regression Models Using the MFCC as Feature Extractor
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    Chapter 20 Non-parametric Brain Tissues Segmentation via a Parallel Architecture of CNNs
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    Chapter 21 Automatic Detection and Classification of Hearing Loss Conditions Using an Artificial Neural Network Approach
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    Chapter 22 Asymmetry Level in Cleft Lip Children Using Dendrite Morphological Neural Network
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    Chapter 23 Novel SSVEP Processing Method Based on Correlation and Feedforward Neural Network for Embedded Brain Computer Interface
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    Chapter 24 Polygonal Approximation Using a Multiresolution Method and a Context-free Grammar
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    Chapter 25 A Binary Descriptor Invariant to Rotation and Robust to Noise (BIRRN) for Floor Recognition
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    Chapter 26 Automatic Contrast Enhancement with Differential Evolution for Leukemia Cell Identification
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    Chapter 27 Enhanced Parallel Generation of Tree Structures for the Recognition of 3D Images
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    Chapter 28 Blood Vessel Analysis on High Resolution Fundus Retinal Images
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    Chapter 29 The Mexican Conference on Pattern Recognition After Ten Editions: A Scientometric Study
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    Chapter 30 On the Use of Constructs for Rule-Based Classification: A Case Study
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    Chapter 31 Recognizing 3-colorable Basic Patterns on Planar Graphs
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    Chapter 32 Inference Algorithm with Falsifying Patterns for Belief Revision
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    Chapter 33 Analytical Hierarchy Process Based Model for Safety Assessment of Coastal Touristic Locations
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    Chapter 34 Modeling of a Simplified 2D Cardiac Valve by Means of System Identification
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    Chapter 35 Sound Source Localization Using Beamforming and Its Representation in a Mixed Reality Embedded Device
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    Chapter 36 Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals
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    Chapter 37 Evaluation of Five Classifiers for Children Activity Recognition with Sound as Information Source and Akaike Criterion for Feature Selection
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    Chapter 38 Exploring the Use of Psycholinguistic Information in Author Profiling
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    Chapter 39 Abstractive Multi-Document Text Summarization Using a Genetic Algorithm
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    Chapter 40 Soft Bigram Similarity to Identify Confusable Drug Names
Overall attention for this book and its chapters
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Citations

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12 Mendeley
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Title
Pattern Recognition
Published by
Springer International Publishing, August 2019
DOI 10.1007/978-3-030-21077-9
ISBNs
978-3-03-021076-2, 978-3-03-021077-9
Editors

Carrasco-Ochoa, Jesús Ariel, Martínez-Trinidad, José Francisco, Olvera-López, José Arturo, Salas, Joaquín

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Professor 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Researcher 1 8%
Other 0 0%
Unknown 6 50%
Readers by discipline Count As %
Engineering 2 17%
Computer Science 2 17%
Mathematics 1 8%
Unknown 7 58%