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Fundamentals of Image Data Mining

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Cover of 'Fundamentals of Image Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Fourier Transform
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    Chapter 2 Windowed Fourier Transform
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    Chapter 3 Wavelet Transform
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    Chapter 4 Color Feature Extraction
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    Chapter 5 Texture Feature Extraction
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    Chapter 6 Shape Representation
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    Chapter 7 Bayesian Classification
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    Chapter 8 Support Vector Machine
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    Chapter 9 Artificial Neural Network
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    Chapter 10 Image Annotation with Decision Tree
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    Chapter 11 Image Indexing
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    Chapter 12 Image Ranking
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    Chapter 13 Image Presentation
Attention for Chapter 10: Image Annotation with Decision Tree
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Chapter title
Image Annotation with Decision Tree
Chapter number 10
Book title
Fundamentals of Image Data Mining
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-17989-2_10
Book ISBNs
978-3-03-017988-5, 978-3-03-017989-2
Authors

Dengsheng Zhang, Zhang, Dengsheng

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