Computational Information Geometry - Signals and Communication Technology
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Published By Springer International Publishing

9783319470566, 9783319470580

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Erratum to: Computational Information Geometry

Computational Information Geometry - Signals and Communication Technology ◽

10.1007/978-3-319-47058-0_12 ◽

2017 ◽

pp. E1-E5 ◽

Cited By ~ 1

Author(s):

Frank Nielsen ◽

Frank Critchley ◽

Christopher T. J. Dodson

Keyword(s):

Information Geometry

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Information Geometry and Its Applications: An Overview

Computational Information Geometry - Signals and Communication Technology ◽

10.1007/978-3-319-47058-0_1 ◽

2016 ◽

pp. 1-31

Author(s):

Frank Critchley ◽

Paul Marriott

Keyword(s):

Information Geometry

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On the Geometric Interplay Between Goodness-of-Fit and Estimation: Illustrative Examples

Computational Information Geometry - Signals and Communication Technology ◽

10.1007/978-3-319-47058-0_3 ◽

2016 ◽

pp. 63-77

Author(s):

Karim Anaya-Izquierdo ◽

Frank Critchley ◽

Paul Marriott ◽

Paul Vos

Keyword(s):

Goodness Of Fit

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On Clustering Financial Time Series: A Need for Distances Between Dependent Random Variables

Computational Information Geometry - Signals and Communication Technology ◽

10.1007/978-3-319-47058-0_8 ◽

2016 ◽

pp. 149-174 ◽

Cited By ~ 1

Author(s):

Gautier Marti ◽

Frank Nielsen ◽

Philippe Donnat ◽

Sébastien Andler

Keyword(s):

Time Series ◽

Financial Time Series ◽

Random Variables ◽

Dependent Random Variables ◽

Financial Time

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Fast $$(1+\epsilon )$$ -Approximation of the Löwner Extremal Matrices of High-Dimensional Symmetric Matrices

Computational Information Geometry - Signals and Communication Technology ◽

10.1007/978-3-319-47058-0_6 ◽

2016 ◽

pp. 121-132

Author(s):

Frank Nielsen ◽

Richard Nock

Keyword(s):

High Dimensional ◽

Symmetric Matrices

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The Geometry of Orthogonal-Series, Square-Root Density Estimators: Applications in Computer Vision and Model Selection

Computational Information Geometry - Signals and Communication Technology ◽

10.1007/978-3-319-47058-0_9 ◽

2016 ◽

pp. 175-215

Author(s):

Adrian M. Peter ◽

Anand Rangarajan ◽

Mark Moyou

Keyword(s):

Computer Vision ◽

Model Selection ◽

Orthogonal Series ◽

Root Density ◽

Square Root ◽

Density Estimators

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Dimensionality Reduction for Measure Valued Evolution Equations in Statistical Manifolds

Computational Information Geometry - Signals and Communication Technology ◽

10.1007/978-3-319-47058-0_10 ◽

2016 ◽

pp. 217-265 ◽

Cited By ~ 6

Author(s):

Damiano Brigo ◽

Giovanni Pistone

Keyword(s):

Dimensionality Reduction ◽

Evolution Equations ◽

Statistical Manifolds

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Batch and Online Mixture Learning: A Review with Extensions

Computational Information Geometry - Signals and Communication Technology ◽

10.1007/978-3-319-47058-0_11 ◽

2016 ◽

pp. 267-299

Author(s):

Christophe Saint-Jean ◽

Frank Nielsen

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Spontaneous Learning for Data Distributions via Minimum Divergence

Computational Information Geometry - Signals and Communication Technology ◽

10.1007/978-3-319-47058-0_4 ◽

2016 ◽

pp. 79-99

Author(s):

Shinto Eguchi ◽

Akifumi Notsu ◽

Osamu Komori

Keyword(s):

Minimum Divergence

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Towards the Geometry of Model Sensitivity: An Illustration

Computational Information Geometry - Signals and Communication Technology ◽

10.1007/978-3-319-47058-0_2 ◽

2016 ◽

pp. 33-62

Author(s):

Karim Anaya-Izquierdo ◽

Frank Critchley ◽

Paul Marriott ◽

Paul Vos

Keyword(s):

Model Sensitivity

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Computational Information Geometry - Signals and Communication TechnologyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Erratum to: Computational Information Geometry

Information Geometry and Its Applications: An Overview

On the Geometric Interplay Between Goodness-of-Fit and Estimation: Illustrative Examples

On Clustering Financial Time Series: A Need for Distances Between Dependent Random Variables

Fast $$(1+\epsilon )$$ -Approximation of the Löwner Extremal Matrices of High-Dimensional Symmetric Matrices

The Geometry of Orthogonal-Series, Square-Root Density Estimators: Applications in Computer Vision and Model Selection

Dimensionality Reduction for Measure Valued Evolution Equations in Statistical Manifolds

Batch and Online Mixture Learning: A Review with Extensions

Spontaneous Learning for Data Distributions via Minimum Divergence

Towards the Geometry of Model Sensitivity: An Illustration

Computational Information Geometry - Signals and Communication Technology
Latest Publications