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Pattern Recognition

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Cover of 'Pattern Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Fruit Classification for Retail Stores Using Deep Learning
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    Chapter 2 Towards Dendrite Spherical Neurons for Pattern Classification
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    Chapter 3 Comparison of Recurrent Neural Networks for Wind Power Forecasting
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    Chapter 4 Classification of Cattleya Trianae and Its Varieties by Using Colorimetry
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    Chapter 5 Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico
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    Chapter 6 Basic Pattern Graphs for the Efficient Computation of Its Number of Independent Sets
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    Chapter 7 Towards Selecting Reducts for Building Decision Rules for Rule-Based Classifiers
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    Chapter 8 Towards Inpainting and Denoising Latent Fingerprints: A Study on the Impact in Latent Fingerprint Identification
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    Chapter 9 New Method for Extreme Color Detection in Images
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    Chapter 10 A Simple Methodology for 2D Reconstruction Using a CNN Model
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    Chapter 11 Improvement of the Turajlić Method for the Estimation of Gaussian Noise in Images
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    Chapter 12 Spatial $$\alpha $$ -Trimmed Fuzzy C-Means Algorithm to Image Segmentation
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    Chapter 13 Restoration of Range Images by the Gaussian Pyramid Method, Testing Different Interpolation Techniques to Select the Best Performance
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    Chapter 14 A Novel Set of Moment Invariants for Pattern Recognition Applications Based on Jacobi Polynomials
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    Chapter 15 Orthogonal Local Image Descriptors with Convolutional Autoencoders
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    Chapter 16 Digital Assisted Image Correlation for Metal Sheet Strain Measurement
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    Chapter 17 Structured Pointcloud Segmentation for Individual Mangrove Tree Modeling
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    Chapter 18 Vision-Based Blind Spot Warning System by Deep Neural Networks
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    Chapter 19 Onboard CNN-Based Processing for Target Detection and Autonomous Landing for MAVs
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    Chapter 20 COUPLED: Calibration of a LiDAR and Camera Rig Using Automatic Plane Detection
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    Chapter 21 ModuleNet: A Convolutional Neural Network for Stereo Vision
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    Chapter 22 A Method for Estimating Driving Factors of Illicit Trade Using Node Embeddings and Clustering
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    Chapter 23 Accurate Identification of Tomograms of Lung Nodules Using CNN: Influence of the Optimizer, Preprocessing and Segmentation
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    Chapter 24 What the Appearance Channel from Two-Stream Architectures for Activity Recognition Is Learning?
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    Chapter 25 Automatic Estrus Cycle Identification System on Female Dogs Based on Deep Learning
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    Chapter 26 Machine Learning Techniques for Identity Document Verification in Uncontrolled Environments: A Case Study
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    Chapter 27 Not All Swear Words Are Used Equal: Attention over Word n-grams for Abusive Language Identification
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    Chapter 28 Gender Identification in Social Media Using Transfer Learning
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    Chapter 29 Experimental Study on Transfer Learning in Denoising Autoencoders for Speech Enhancement
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    Chapter 30 A Preliminary Study on Score-Based Hyper-heuristics for Solving the Bin Packing Problem
  32. Altmetric Badge
    Chapter 31 Learning Clasiffier Systems with Hebbian Learning for Autonomus Behaviors
Attention for Chapter 23: Accurate Identification of Tomograms of Lung Nodules Using CNN: Influence of the Optimizer, Preprocessing and Segmentation
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Citations

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Chapter title
Accurate Identification of Tomograms of Lung Nodules Using CNN: Influence of the Optimizer, Preprocessing and Segmentation
Chapter number 23
Book title
Pattern Recognition
Published by
Springer, Cham, June 2020
DOI 10.1007/978-3-030-49076-8_23
Book ISBNs
978-3-03-049075-1, 978-3-03-049076-8
Authors

Cecilia Irene Loeza Mejía, R. R. Biswal, Eduardo Rodriguez-Tello, Gilberto Ochoa-Ruiz, Loeza Mejía, Cecilia Irene, Biswal, R. R., Rodriguez-Tello, Eduardo, Ochoa-Ruiz, Gilberto

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Ph. D. Student 1 14%
Unspecified 1 14%
Lecturer > Senior Lecturer 1 14%
Student > Master 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Engineering 3 43%
Computer Science 2 29%
Materials Science 1 14%
Unknown 1 14%

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