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Computational Information Geometry

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Cover of 'Computational Information Geometry'

Table of Contents

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    Book Overview
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    Chapter 1 Information Geometry and Its Applications: An Overview
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    Chapter 2 Towards the Geometry of Model Sensitivity: An Illustration
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    Chapter 3 On the Geometric Interplay Between Goodness-of-Fit and Estimation: Illustrative Examples
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    Chapter 4 Spontaneous Learning for Data Distributions via Minimum Divergence
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    Chapter 5 Extrinsic Projection of Itô SDEs on Submanifolds with Applications to Non-linear Filtering
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    Chapter 6 Fast $$(1+\epsilon )$$ -Approximation of the Löwner Extremal Matrices of High-Dimensional Symmetric Matrices
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    Chapter 7 Dimensionality Reduction for Information Geometric Characterization of Surface Topographies
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    Chapter 8 On Clustering Financial Time Series: A Need for Distances Between Dependent Random Variables
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    Chapter 9 The Geometry of Orthogonal-Series, Square-Root Density Estimators: Applications in Computer Vision and Model Selection
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    Chapter 10 Dimensionality Reduction for Measure Valued Evolution Equations in Statistical Manifolds
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    Chapter 11 Batch and Online Mixture Learning: A Review with Extensions
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    Chapter 12 Erratum to: Computational Information Geometry
Attention for Chapter 7: Dimensionality Reduction for Information Geometric Characterization of Surface Topographies
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Chapter title
Dimensionality Reduction for Information Geometric Characterization of Surface Topographies
Chapter number 7
Book title
Computational Information Geometry
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-47058-0_7
Book ISBNs
978-3-31-947056-6, 978-3-31-947058-0
Authors

C. T. J. Dodson, M. Mettänen, W. W. Sampson, Dodson, C. T. J., Mettänen, M., Sampson, W. W.

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