Lecture Notes in Computer Science - Geometric Science of Information
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9783319684444, 9783319684451

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Applying Backward Nested Subspace Inference to Tori and Polyspheres

Lecture Notes in Computer Science - Geometric Science of Information ◽

10.1007/978-3-319-68445-1_68 ◽

2017 ◽

pp. 587-594

Author(s):

Benjamin Eltzner ◽

Stephan Huckemann

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Amari Functors and Dynamics in Gauge Structures

Lecture Notes in Computer Science - Geometric Science of Information ◽

10.1007/978-3-319-68445-1_20 ◽

2017 ◽

pp. 170-178

Author(s):

Michel Nguiffo Boyom ◽

Ahmed Zeglaoui

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Thermodynamic Equilibrium and Relativity: Killing Vectors and Lie Derivatives

Lecture Notes in Computer Science - Geometric Science of Information ◽

10.1007/978-3-319-68445-1_52 ◽

2017 ◽

pp. 442-447

Author(s):

F. Becattini

Keyword(s):

Thermodynamic Equilibrium ◽

Killing Vectors ◽

Lie Derivatives

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Semi-discrete Optimal Transport in Patch Space for Enriching Gaussian Textures

Lecture Notes in Computer Science - Geometric Science of Information ◽

10.1007/978-3-319-68445-1_12 ◽

2017 ◽

pp. 100-108 ◽

Cited By ~ 1

Author(s):

Bruno Galerne ◽

Arthur Leclaire ◽

Julien Rabin

Keyword(s):

Optimal Transport

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Uniform Observability of Linear Time-Varying Systems and Application to Robotics Problems

Lecture Notes in Computer Science - Geometric Science of Information ◽

10.1007/978-3-319-68445-1_39 ◽

2017 ◽

pp. 336-344 ◽

Cited By ~ 1

Author(s):

Pascal Morin ◽

Alexandre Eudes ◽

Glauco Scandaroli

Keyword(s):

Linear Time ◽

Time Varying ◽

Time Varying Systems ◽

Uniform Observability

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Information Geometry of Predictor Functions in a Regression Model

Lecture Notes in Computer Science - Geometric Science of Information ◽

10.1007/978-3-319-68445-1_65 ◽

2017 ◽

pp. 561-568

Author(s):

Shinto Eguchi ◽

Katsuhiro Omae

Keyword(s):

Regression Model ◽

Information Geometry

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Quantification of Model Risk: Data Uncertainty

Lecture Notes in Computer Science - Geometric Science of Information ◽

10.1007/978-3-319-68445-1_61 ◽

2017 ◽

pp. 523-531 ◽

Cited By ~ 1

Author(s):

Z. Krajčovičová ◽

P. P. Pérez-Velasco ◽

C. Vázquez

Keyword(s):

Data Uncertainty ◽

Model Risk

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Information Geometry Under Monotone Embedding. Part I: Divergence Functions

Lecture Notes in Computer Science - Geometric Science of Information ◽

10.1007/978-3-319-68445-1_24 ◽

2017 ◽

pp. 205-214 ◽

Cited By ~ 1

Author(s):

Jun Zhang ◽

Jan Naudts

Keyword(s):

Information Geometry

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Bootstrapping Descriptors for Non-Euclidean Data

Lecture Notes in Computer Science - Geometric Science of Information ◽

10.1007/978-3-319-68445-1_2 ◽

2017 ◽

pp. 12-19

Author(s):

Benjamin Eltzner ◽

Stephan Huckemann

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Statistical Manifolds Admitting Torsion, Pre-contrast Functions and Estimating Functions

Lecture Notes in Computer Science - Geometric Science of Information ◽

10.1007/978-3-319-68445-1_18 ◽

2017 ◽

pp. 153-161 ◽

Cited By ~ 2

Author(s):

Masayuki Henmi

Keyword(s):

Estimating Functions ◽

Statistical Manifolds

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Lecture Notes in Computer Science - Geometric Science of InformationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Applying Backward Nested Subspace Inference to Tori and Polyspheres

Amari Functors and Dynamics in Gauge Structures

Thermodynamic Equilibrium and Relativity: Killing Vectors and Lie Derivatives

Semi-discrete Optimal Transport in Patch Space for Enriching Gaussian Textures

Uniform Observability of Linear Time-Varying Systems and Application to Robotics Problems

Information Geometry of Predictor Functions in a Regression Model

Quantification of Model Risk: Data Uncertainty

Information Geometry Under Monotone Embedding. Part I: Divergence Functions

Bootstrapping Descriptors for Non-Euclidean Data

Statistical Manifolds Admitting Torsion, Pre-contrast Functions and Estimating Functions

Lecture Notes in Computer Science - Geometric Science of Information
Latest Publications