The Resource Geometric Science of Information : first International Conference, GSI 2013, Paris, France, August 2830, 2013 : proceedings, Frank Nielsen, Frédéric Barbaresco (eds.)
Geometric Science of Information : first International Conference, GSI 2013, Paris, France, August 2830, 2013 : proceedings, Frank Nielsen, Frédéric Barbaresco (eds.)
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The item Geometric Science of Information : first International Conference, GSI 2013, Paris, France, August 2830, 2013 : proceedings, Frank Nielsen, Frédéric Barbaresco (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
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 Summary
 This book constitutes the refereed proceedings of the First International Conference on Geometric Science of Information, GSI 2013, held in Paris, France, in August 2013. The nearly 100 papers presented were carefully reviewed and selected from numerous submissions and are organized into the following thematic sessions: Geometric Statistics on Manifolds and Lie Groups, Deformations in Shape Spaces, Differential Geometry in Signal Processing, Relational Metric, Discrete Metric Spaces, Computational Information Geometry, Hessian Information Geometry I and II, Computational Aspects of Information Geometry in Statistics, Optimization on Matrix Manifolds, Optimal Transport Theory, Probability on Manifolds, Divergence Geometry and Ancillarity, Entropic Geometry, TensorValued Mathematical Morphology, Machine/Manifold/Topology Learning, Geometry of Audio Processing, Geometry of Inverse Problems, Algebraic/Infinite dimensionnal/Banach Information Manifolds, Information Geometry Manifolds, and Algorithms on Manifolds
 Language
 eng
 Extent
 1 online resource (xx, 879 pages)
 Contents

 Horizontal Dimensionality Reduction and Iterated Frame Bundle Development
 A Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach
 Deformations in Shape Spaces.
 Geodesic Image Regression with a Sparse Parameterization of Diffeomorphisms
 Template Estimation for Large Database: A Diffeomorphic Iterative Centroid Method Using Currents
 On the Geometry and the Deformation of Shapes Represented by Piecewise Continuous Bézier Curves with Application to Shape Optimization
 Random Spatial Structure of Geometric Deformations and Bayesian Nonparametrics
 Invited Keynote papers.
 Information Geometry and Its Applications: Survey
 InformationGeometric Optimization: The Interest of Information Theory for Discrete and Continuous Optimization
 Nonparametric Information Geometry
 Geometry of Hessian Structures
 Geometric Statistics on Manifolds and Lie Groups.
 Biinvariant Means on Lie Groups with CartanSchouten Connections
 Parallel Transport with Pole Ladder: Application to Deformations of Time Series of Images
 A General Framework for Comparing Heterogeneous Binary Relations
 On PrimeValent Symmetric Bicirculants and Cayley Snarks
 Discrete Metric Spaces.
 Studying New Classes of Graph Metrics
 Tessellabilities, Reversibilities, and Decomposabilities of Polytopes
 Counting the Number of Solutions of KDMDGP Instances
 On the Identification of Discretization Orders for Distance Geometry with Intervals
 Differential Geometry in Signal Processing.
 A Riemannian Fourier Transform via Spin Representations
 KCentroidsBased Supervised Classification of Texture Images Using the SIRV Modeling
 Bayesian Atlas Estimation from High Angular Resolution Diffusion Imaging (HARDI)
 Dimensionality Reduction for Classification of Stochastic Fibre Radiographs
 Relational Metric.
 Optimal Transport and Minimal Trade Problem, Impacts on Relational Metrics and Applications to Large Graphs and Networks Modularity
 Comparing Different Modularization Criteria Using Relational Metric
 Hypersurfaces with Isometric Reeb Flow in Hermitian Symmetric Spaces of Rank 2
 Generalized Minimizers of Convex Integral Functionals and Pythagorean Identities
 Computational Aspects of Information Geometry in Statistics.
 Computational Information Geometry in Statistics: Foundations
 Computational Information Geometry in Statistics: Mixture Modelling
 A General Metric for Riemannian Manifold Hamiltonian Monte Carlo
 Visualizing Projective Shape Space
 Computational Information Geometry.
 Hypothesis Testing, Information Divergence and Computational Geometry
 A New Implementation of kMLE for Mixture Modeling of Wishart Distributions
 Variational Problem in Euclidean Space with Density
 The Exponential Family in Abstract Information Theory
 Hessian Information Geometry I.
 Hessian Structures on Deformed Exponential Families
 Foliations on Affinely Flat Manifolds: Information Geometry
 The Tangent Earth Mover's Distance
 A Geometric Study of Wasserstein Spaces: An Addendum on the Boundary
 A PrimalDual Approach for a Total Variation Wasserstein Flow
 Probability on Manifolds.
 Group Action Induced Distances on Spaces of HighDimensional Linear Stochastic Processes
 Extrinsic vs Intrinsic Means on the Circle
 Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging
 Integral Geometry of Linearly Combined Gaussian and Studentt, and Skew Student's t Random Fields
 Optimization on Matrix Manifolds.
 Interpolation and Regression of Rotation Matrices
 A Geometric Framework for NonUnitary Joint Diagonalization of Complex Symmetric Matrices
 An Extrinsic Look at the Riemannian Hessian
 Law of Cosines and ShannonPythagorean Theorem for Quantum Information
 A Note on the Intrinsic CramerRao Bound
 Optimal Transport Theory.
 A Comparison of Two Dual Methods for Discrete Optimal Transport
 Information/Contact Geometries and Koszul Entropy
 Geometric Quantization of Complex MongeAmpère Operator for Certain Diffusion Flows
 Geometry on Positive Definite Matrices Induced from VPotential Function
 Geometry of Audio Processing.
 Online Change Detection in Exponential Families with Unknown Parameters
 Differential Geometry Applied to Acoustics: Non Linear Propagation in Reissner Beams
 Predictive Information in Gaussian Processes with Application to Music Analysis
 Characterizing Time Series Variability and Predictability from Information Geometry Dynamics
 Machine/Manifold/Topology Learning.
 Deconvolution for the Wasserstein Metric and Geometric Inference
 On DirectionalSearch Procedures for Orbifolds: Connections with the Manifold Framework
 Adaptation of Multiscale Function Extension to Inexact Matching: Application to the Mapping of Individuals to a Learnt Manifold
 Interleaved Filtrations: Theory and Applications in Point Cloud Data Analysis
 Hessian Information Geometry II.
 Symplectic and Kähler Structures on Statistical Manifolds Induced from Divergence Functions
 Target Detection of Nonstationary Radar Signal and Riemannian Geometry
 HighDimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model
 Visual Point Set Processing with Lattice Structures: Application to Parsimonious Representations of Digital Histopathology Images
 Activity Video Analysis via OperatorBased Local Embedding
 Multivariate Texture Discrimination Based on Geodesics to Class Centroids on a Generalized Gaussian Manifold
 Robust Estimation of Natural Gradient in Optimization by Regularized Linear Regression
 To the Homogeneous Symplectic Manifold toward the Geometry of information
 Algorithms on Manifolds.
 Information Geometry and InteriorPoint Algorithms
 Geometric Mean Algorithms Based on Harmonic and Arithmetic Iterations
 Multiscale Covariance Fields, Local Scales, and Shape Transforms
 Deterministic Walks and QuasiSubgradient Methods for the Karcher Mean on NPC Spaces
 Papers Presented at the Poster Session.
 Fast Polynomial Spline Approximation for Large Scattered Data Sets via L 1 Minimization
 Isbn
 9783642400193
 Label
 Geometric Science of Information : first International Conference, GSI 2013, Paris, France, August 2830, 2013 : proceedings
 Title
 Geometric Science of Information
 Title remainder
 first International Conference, GSI 2013, Paris, France, August 2830, 2013 : proceedings
 Statement of responsibility
 Frank Nielsen, Frédéric Barbaresco (eds.)
 Language
 eng
 Summary
 This book constitutes the refereed proceedings of the First International Conference on Geometric Science of Information, GSI 2013, held in Paris, France, in August 2013. The nearly 100 papers presented were carefully reviewed and selected from numerous submissions and are organized into the following thematic sessions: Geometric Statistics on Manifolds and Lie Groups, Deformations in Shape Spaces, Differential Geometry in Signal Processing, Relational Metric, Discrete Metric Spaces, Computational Information Geometry, Hessian Information Geometry I and II, Computational Aspects of Information Geometry in Statistics, Optimization on Matrix Manifolds, Optimal Transport Theory, Probability on Manifolds, Divergence Geometry and Ancillarity, Entropic Geometry, TensorValued Mathematical Morphology, Machine/Manifold/Topology Learning, Geometry of Audio Processing, Geometry of Inverse Problems, Algebraic/Infinite dimensionnal/Banach Information Manifolds, Information Geometry Manifolds, and Algorithms on Manifolds
 Cataloging source
 GW5XE
 Dewey number
 516
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA440
 LC item number
 .G46 2013
 Literary form
 non fiction
 http://bibfra.me/vocab/lite/meetingDate
 2013
 http://bibfra.me/vocab/lite/meetingName
 GSI (Conference)
 Nature of contents

 dictionaries
 bibliography
 NLM call number
 QA 440
 http://library.link/vocab/relatedWorkOrContributorName

 Nielsen, Frank
 Barbaresco, Frédéric
 Series statement

 Lecture notes in computer science,
 LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
 Series volume
 8085
 http://library.link/vocab/subjectName

 Geometry
 Information science
 Information Science
 Mathematics
 Engineering & Applied Sciences
 Applied Physics
 Geometry
 Information science
 Label
 Geometric Science of Information : first International Conference, GSI 2013, Paris, France, August 2830, 2013 : proceedings, Frank Nielsen, Frédéric Barbaresco (eds.)
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 Horizontal Dimensionality Reduction and Iterated Frame Bundle Development
 A Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach
 Deformations in Shape Spaces.
 Geodesic Image Regression with a Sparse Parameterization of Diffeomorphisms
 Template Estimation for Large Database: A Diffeomorphic Iterative Centroid Method Using Currents
 On the Geometry and the Deformation of Shapes Represented by Piecewise Continuous Bézier Curves with Application to Shape Optimization
 Random Spatial Structure of Geometric Deformations and Bayesian Nonparametrics
 Invited Keynote papers.
 Information Geometry and Its Applications: Survey
 InformationGeometric Optimization: The Interest of Information Theory for Discrete and Continuous Optimization
 Nonparametric Information Geometry
 Geometry of Hessian Structures
 Geometric Statistics on Manifolds and Lie Groups.
 Biinvariant Means on Lie Groups with CartanSchouten Connections
 Parallel Transport with Pole Ladder: Application to Deformations of Time Series of Images
 A General Framework for Comparing Heterogeneous Binary Relations
 On PrimeValent Symmetric Bicirculants and Cayley Snarks
 Discrete Metric Spaces.
 Studying New Classes of Graph Metrics
 Tessellabilities, Reversibilities, and Decomposabilities of Polytopes
 Counting the Number of Solutions of KDMDGP Instances
 On the Identification of Discretization Orders for Distance Geometry with Intervals
 Differential Geometry in Signal Processing.
 A Riemannian Fourier Transform via Spin Representations
 KCentroidsBased Supervised Classification of Texture Images Using the SIRV Modeling
 Bayesian Atlas Estimation from High Angular Resolution Diffusion Imaging (HARDI)
 Dimensionality Reduction for Classification of Stochastic Fibre Radiographs
 Relational Metric.
 Optimal Transport and Minimal Trade Problem, Impacts on Relational Metrics and Applications to Large Graphs and Networks Modularity
 Comparing Different Modularization Criteria Using Relational Metric
 Hypersurfaces with Isometric Reeb Flow in Hermitian Symmetric Spaces of Rank 2
 Generalized Minimizers of Convex Integral Functionals and Pythagorean Identities
 Computational Aspects of Information Geometry in Statistics.
 Computational Information Geometry in Statistics: Foundations
 Computational Information Geometry in Statistics: Mixture Modelling
 A General Metric for Riemannian Manifold Hamiltonian Monte Carlo
 Visualizing Projective Shape Space
 Computational Information Geometry.
 Hypothesis Testing, Information Divergence and Computational Geometry
 A New Implementation of kMLE for Mixture Modeling of Wishart Distributions
 Variational Problem in Euclidean Space with Density
 The Exponential Family in Abstract Information Theory
 Hessian Information Geometry I.
 Hessian Structures on Deformed Exponential Families
 Foliations on Affinely Flat Manifolds: Information Geometry
 The Tangent Earth Mover's Distance
 A Geometric Study of Wasserstein Spaces: An Addendum on the Boundary
 A PrimalDual Approach for a Total Variation Wasserstein Flow
 Probability on Manifolds.
 Group Action Induced Distances on Spaces of HighDimensional Linear Stochastic Processes
 Extrinsic vs Intrinsic Means on the Circle
 Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging
 Integral Geometry of Linearly Combined Gaussian and Studentt, and Skew Student's t Random Fields
 Optimization on Matrix Manifolds.
 Interpolation and Regression of Rotation Matrices
 A Geometric Framework for NonUnitary Joint Diagonalization of Complex Symmetric Matrices
 An Extrinsic Look at the Riemannian Hessian
 Law of Cosines and ShannonPythagorean Theorem for Quantum Information
 A Note on the Intrinsic CramerRao Bound
 Optimal Transport Theory.
 A Comparison of Two Dual Methods for Discrete Optimal Transport
 Information/Contact Geometries and Koszul Entropy
 Geometric Quantization of Complex MongeAmpère Operator for Certain Diffusion Flows
 Geometry on Positive Definite Matrices Induced from VPotential Function
 Geometry of Audio Processing.
 Online Change Detection in Exponential Families with Unknown Parameters
 Differential Geometry Applied to Acoustics: Non Linear Propagation in Reissner Beams
 Predictive Information in Gaussian Processes with Application to Music Analysis
 Characterizing Time Series Variability and Predictability from Information Geometry Dynamics
 Machine/Manifold/Topology Learning.
 Deconvolution for the Wasserstein Metric and Geometric Inference
 On DirectionalSearch Procedures for Orbifolds: Connections with the Manifold Framework
 Adaptation of Multiscale Function Extension to Inexact Matching: Application to the Mapping of Individuals to a Learnt Manifold
 Interleaved Filtrations: Theory and Applications in Point Cloud Data Analysis
 Hessian Information Geometry II.
 Symplectic and Kähler Structures on Statistical Manifolds Induced from Divergence Functions
 Target Detection of Nonstationary Radar Signal and Riemannian Geometry
 HighDimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model
 Visual Point Set Processing with Lattice Structures: Application to Parsimonious Representations of Digital Histopathology Images
 Activity Video Analysis via OperatorBased Local Embedding
 Multivariate Texture Discrimination Based on Geodesics to Class Centroids on a Generalized Gaussian Manifold
 Robust Estimation of Natural Gradient in Optimization by Regularized Linear Regression
 To the Homogeneous Symplectic Manifold toward the Geometry of information
 Algorithms on Manifolds.
 Information Geometry and InteriorPoint Algorithms
 Geometric Mean Algorithms Based on Harmonic and Arithmetic Iterations
 Multiscale Covariance Fields, Local Scales, and Shape Transforms
 Deterministic Walks and QuasiSubgradient Methods for the Karcher Mean on NPC Spaces
 Papers Presented at the Poster Session.
 Fast Polynomial Spline Approximation for Large Scattered Data Sets via L 1 Minimization
 Control code
 859259594
 Dimensions
 unknown
 Extent
 1 online resource (xx, 879 pages)
 File format
 unknown
 Form of item
 online
 Isbn
 9783642400193
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783642400209
 Other physical details
 illustrations.
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)859259594
 Label
 Geometric Science of Information : first International Conference, GSI 2013, Paris, France, August 2830, 2013 : proceedings, Frank Nielsen, Frédéric Barbaresco (eds.)
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 Horizontal Dimensionality Reduction and Iterated Frame Bundle Development
 A Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach
 Deformations in Shape Spaces.
 Geodesic Image Regression with a Sparse Parameterization of Diffeomorphisms
 Template Estimation for Large Database: A Diffeomorphic Iterative Centroid Method Using Currents
 On the Geometry and the Deformation of Shapes Represented by Piecewise Continuous Bézier Curves with Application to Shape Optimization
 Random Spatial Structure of Geometric Deformations and Bayesian Nonparametrics
 Invited Keynote papers.
 Information Geometry and Its Applications: Survey
 InformationGeometric Optimization: The Interest of Information Theory for Discrete and Continuous Optimization
 Nonparametric Information Geometry
 Geometry of Hessian Structures
 Geometric Statistics on Manifolds and Lie Groups.
 Biinvariant Means on Lie Groups with CartanSchouten Connections
 Parallel Transport with Pole Ladder: Application to Deformations of Time Series of Images
 A General Framework for Comparing Heterogeneous Binary Relations
 On PrimeValent Symmetric Bicirculants and Cayley Snarks
 Discrete Metric Spaces.
 Studying New Classes of Graph Metrics
 Tessellabilities, Reversibilities, and Decomposabilities of Polytopes
 Counting the Number of Solutions of KDMDGP Instances
 On the Identification of Discretization Orders for Distance Geometry with Intervals
 Differential Geometry in Signal Processing.
 A Riemannian Fourier Transform via Spin Representations
 KCentroidsBased Supervised Classification of Texture Images Using the SIRV Modeling
 Bayesian Atlas Estimation from High Angular Resolution Diffusion Imaging (HARDI)
 Dimensionality Reduction for Classification of Stochastic Fibre Radiographs
 Relational Metric.
 Optimal Transport and Minimal Trade Problem, Impacts on Relational Metrics and Applications to Large Graphs and Networks Modularity
 Comparing Different Modularization Criteria Using Relational Metric
 Hypersurfaces with Isometric Reeb Flow in Hermitian Symmetric Spaces of Rank 2
 Generalized Minimizers of Convex Integral Functionals and Pythagorean Identities
 Computational Aspects of Information Geometry in Statistics.
 Computational Information Geometry in Statistics: Foundations
 Computational Information Geometry in Statistics: Mixture Modelling
 A General Metric for Riemannian Manifold Hamiltonian Monte Carlo
 Visualizing Projective Shape Space
 Computational Information Geometry.
 Hypothesis Testing, Information Divergence and Computational Geometry
 A New Implementation of kMLE for Mixture Modeling of Wishart Distributions
 Variational Problem in Euclidean Space with Density
 The Exponential Family in Abstract Information Theory
 Hessian Information Geometry I.
 Hessian Structures on Deformed Exponential Families
 Foliations on Affinely Flat Manifolds: Information Geometry
 The Tangent Earth Mover's Distance
 A Geometric Study of Wasserstein Spaces: An Addendum on the Boundary
 A PrimalDual Approach for a Total Variation Wasserstein Flow
 Probability on Manifolds.
 Group Action Induced Distances on Spaces of HighDimensional Linear Stochastic Processes
 Extrinsic vs Intrinsic Means on the Circle
 Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging
 Integral Geometry of Linearly Combined Gaussian and Studentt, and Skew Student's t Random Fields
 Optimization on Matrix Manifolds.
 Interpolation and Regression of Rotation Matrices
 A Geometric Framework for NonUnitary Joint Diagonalization of Complex Symmetric Matrices
 An Extrinsic Look at the Riemannian Hessian
 Law of Cosines and ShannonPythagorean Theorem for Quantum Information
 A Note on the Intrinsic CramerRao Bound
 Optimal Transport Theory.
 A Comparison of Two Dual Methods for Discrete Optimal Transport
 Information/Contact Geometries and Koszul Entropy
 Geometric Quantization of Complex MongeAmpère Operator for Certain Diffusion Flows
 Geometry on Positive Definite Matrices Induced from VPotential Function
 Geometry of Audio Processing.
 Online Change Detection in Exponential Families with Unknown Parameters
 Differential Geometry Applied to Acoustics: Non Linear Propagation in Reissner Beams
 Predictive Information in Gaussian Processes with Application to Music Analysis
 Characterizing Time Series Variability and Predictability from Information Geometry Dynamics
 Machine/Manifold/Topology Learning.
 Deconvolution for the Wasserstein Metric and Geometric Inference
 On DirectionalSearch Procedures for Orbifolds: Connections with the Manifold Framework
 Adaptation of Multiscale Function Extension to Inexact Matching: Application to the Mapping of Individuals to a Learnt Manifold
 Interleaved Filtrations: Theory and Applications in Point Cloud Data Analysis
 Hessian Information Geometry II.
 Symplectic and Kähler Structures on Statistical Manifolds Induced from Divergence Functions
 Target Detection of Nonstationary Radar Signal and Riemannian Geometry
 HighDimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model
 Visual Point Set Processing with Lattice Structures: Application to Parsimonious Representations of Digital Histopathology Images
 Activity Video Analysis via OperatorBased Local Embedding
 Multivariate Texture Discrimination Based on Geodesics to Class Centroids on a Generalized Gaussian Manifold
 Robust Estimation of Natural Gradient in Optimization by Regularized Linear Regression
 To the Homogeneous Symplectic Manifold toward the Geometry of information
 Algorithms on Manifolds.
 Information Geometry and InteriorPoint Algorithms
 Geometric Mean Algorithms Based on Harmonic and Arithmetic Iterations
 Multiscale Covariance Fields, Local Scales, and Shape Transforms
 Deterministic Walks and QuasiSubgradient Methods for the Karcher Mean on NPC Spaces
 Papers Presented at the Poster Session.
 Fast Polynomial Spline Approximation for Large Scattered Data Sets via L 1 Minimization
 Control code
 859259594
 Dimensions
 unknown
 Extent
 1 online resource (xx, 879 pages)
 File format
 unknown
 Form of item
 online
 Isbn
 9783642400193
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783642400209
 Other physical details
 illustrations.
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)859259594
Subject
 Conference papers and proceedings
 Conference papers and proceedings
 Congress
 Engineering & Applied Sciences
 Geometry
 Geometry
 Geometry  Congresses
 Information Science
 Information science
 Information science
 Information science  Congresses
 Mathematics
 Applied Physics
Genre
Member of
 Lecture notes in computer science, 8085
 LNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics
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