Frank Nielsen – författare
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27 produkter
27 produkter
3 087 kr
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Geometry and Statistics, Volume 46 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Handbook of Statistics series Updated release includes the latest information on Geometry and Statistics
302 kr
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This introduction to programming and algorithms requires no prior knowledge of the subject. It covers programming basic tasks using Java as well as focuses on data structures and algorithms. Exercises are included at the end of each chapter.
1 600 kr
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This book focuses on information geometry manifolds of structured data/information and their advanced applications featuring new and fruitful interactions between several branches of science: information science, mathematics and physics. It addresses interrelations between different mathematical domains like shape spaces, probability/optimization & algorithms on manifolds, relational and discrete metric spaces, computational and Hessian information geometry, algebraic/infinite dimensional/Banach information manifolds, divergence geometry, tensor-valued morphology, optimal transport theory, manifold & topology learning, and applications like geometries of audio-processing, inverse problems and signal processing.The book collects the most important contributions to the conference GSI’2017 – Geometric Science of Information.
Del 11712 - Lecture Notes in Computer Science
Geometric Science of Information
4th International Conference, GSI 2019, Toulouse, France, August 27–29, 2019, Proceedings
Häftad, Engelska, 2019
1 079 kr
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This book constitutes the proceedings of the 4th International Conference on Geometric Science of Information, GSI 2019, held in Toulouse, France, in August 2019. The 79 full papers presented in this volume were carefully reviewed and selected from 105 submissions.
1 494 kr
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This book focuses on information-geometric manifolds of structured data and models and related applied mathematics. The book project was initiated following discussions at the international conference GSI’2019 – Geometric Science of Information that was held at ENAC, Toulouse (France).
1 494 kr
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This book focuses on information-geometric manifolds of structured data and models and related applied mathematics. The book project was initiated following discussions at the international conference GSI’2019 – Geometric Science of Information that was held at ENAC, Toulouse (France).
Del 361 - Springer Proceedings in Mathematics & Statistics
Geometric Structures of Statistical Physics, Information Geometry, and Learning
SPIGL'20, Les Houches, France, July 27–31
Inbunden, Engelska, 2021
2 981 kr
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Machine learning and artificial intelligence increasingly use methodological tools rooted in statistical physics. This interplay between AI and statistical physics has been attested since the birth of AI, and principles underpinning statistical physics can shed new light on the conceptual basis of AI.
Geometric Structures of Statistical Physics, Information Geometry, and Learning
SPIGL'20, Les Houches, France, July 27–31
Häftad, Engelska, 2022
2 981 kr
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Machine learning and artificial intelligence increasingly use methodological tools rooted in statistical physics. This interplay between AI and statistical physics has been attested since the birth of AI, and principles underpinning statistical physics can shed new light on the conceptual basis of AI.
Del 12829 - Lecture Notes in Computer Science
Geometric Science of Information
5th International Conference, GSI 2021, Paris, France, July 21–23, 2021, Proceedings
Häftad, Engelska, 2021
1 101 kr
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This book constitutes the proceedings of the 5th International Conference on Geometric Science of Information, GSI 2021, held in Paris, France, in July 2021.The 98 papers presented in this volume were carefully reviewed and selected from 125 submissions.
Del 14071 - Lecture Notes in Computer Science
Geometric Science of Information
6th International Conference, GSI 2023, St. Malo, France, August 30 – September 1, 2023, Proceedings, Part I
Häftad, Engelska, 2023
987 kr
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This book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023.The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.
634 kr
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Del 14072 - Lecture Notes in Computer Science
Geometric Science of Information
6th International Conference, GSI 2023, St. Malo, France, August 30 – September 1, 2023, Proceedings, Part II
Häftad, Engelska, 2023
1 096 kr
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This book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023.The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.
634 kr
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Del 16033 - Lecture Notes in Computer Science
Geometric Science of Information
7th International Conference, GSI 2025, Saint-Malo, France, October 29–31, 2025, Proceedings, Part I
Häftad, Engelska, 2025
900 kr
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The 3-volume set LNCS 16033 - 16035 constitutes the proceedings of the 7th International Conference on Geometric Science of Information, GSI 2025, held in St. Malo, France, during October 2025. The main theme of GSI 2025 was: Geometric Structures of Statistical and Quantum Physics, Information Geometry, and Machine Learning: FROM CLASSICAL TO QUANTUM INFORMATION GEOMETRY.The 124 full papers included in the proceedings were carefully reviewed and selected from 146 submissions. They were organized in topical sections as follows:Part I: Geometric Learning and Differential Invariants on Homogeneous Spaces; Statistical Manifolds and Hessian information geometry; Applied Geometry-Informed Machine Learning; Geometric Green Learning on Groups and Quotient Spaces; Divergences in Statistics and Machine Learning;Part II: Geometric Statistics; Computational Information Geometry and Divergences; Geometric Methods in Thermodynamics; Classical & Quantum Information, Geometry and Topology; Geometric Mechanics; Stochastic Geometric Dynamics; Part III: New trends in Nonholonomic Systems; Learning of Dynamic Processes; Optimization and learning on manifolds; Neurogeometry; Lie Group in Learning Distributions & in Filters; A geometric approach to differential equations; Information Geometry, Delzant Toric Manifold & Integrable System.
Geometric Science of Information
7th International Conference, GSI 2025, Saint-Malo, France, October 29–31, 2025, Proceedings, Part II
Häftad, Engelska, 2025
813 kr
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The 3-volume set LNCS 16033 - 16035 constitutes the proceedings of the 7th International Conference on Geometric Science of Information, GSI 2025, held in St. Malo, France, during October 2025. The main theme of GSI 2025 was: Geometric Structures of Statistical and Quantum Physics, Information Geometry, and Machine Learning: FROM CLASSICAL TO QUANTUM INFORMATION GEOMETRY.The 124 full papers included in the proceedings were carefully reviewed and selected from 146 submissions. They were organized in topical sections as follows:Part I: Geometric Learning and Differential Invariants on Homogeneous Spaces; Statistical Manifolds and Hessian information geometry; Applied Geometry-Informed Machine Learning; Geometric Green Learning on Groups and Quotient Spaces; Divergences in Statistics and Machine Learning;Part II: Geometric Statistics; Computational Information Geometry and Divergences; Geometric Methods in Thermodynamics; Classical & Quantum Information, Geometry and Topology; Geometric Mechanics; Stochastic Geometric Dynamics; Part III: New trends in Nonholonomic Systems; Learning of Dynamic Processes; Optimization and learning on manifolds; Neurogeometry; Lie Group in Learning Distributions & in Filters; A geometric approach to differential equations; Information Geometry, Delzant Toric Manifold & Integrable System.
Del 16035 - Lecture Notes in Computer Science
Geometric Science of Information
7th International Conference, GSI 2025, Saint-Malo, France, October 29–31, 2025, Proceedings, Part III
Häftad, Engelska, 2025
813 kr
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The 3-volume set LNCS 16033 - 16035 constitutes the proceedings of the 7th International Conference on Geometric Science of Information, GSI 2025, held in St. Malo, France, during October 2025. The main theme of GSI 2025 was: Geometric Structures of Statistical and Quantum Physics, Information Geometry, and Machine Learning: FROM CLASSICAL TO QUANTUM INFORMATION GEOMETRY.The 124 full papers included in the proceedings were carefully reviewed and selected from 146 submissions. They were organized in topical sections as follows:Part I: Geometric Learning and Differential Invariants on Homogeneous Spaces; Statistical Manifolds and Hessian information geometry; Applied Geometry-Informed Machine Learning; Geometric Green Learning on Groups and Quotient Spaces; Divergences in Statistics and Machine Learning;Part II: Geometric Statistics; Computational Information Geometry and Divergences; Geometric Methods in Thermodynamics; Classical & Quantum Information, Geometry and Topology; Geometric Mechanics; Stochastic Geometric Dynamics; Part III: New trends in Nonholonomic Systems; Learning of Dynamic Processes; Optimization and learning on manifolds; Neurogeometry; Lie Group in Learning Distributions & in Filters; A geometric approach to differential equations; Information Geometry, Delzant Toric Manifold & Integrable System.
1 069 kr
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This book brings together geometric tools and their applications for Information analysis. It collects current and many uses of in the interdisciplinary fields of Information Geometry Manifolds in Advanced Signal, Image & Video Processing, Complex Data Modeling and Analysis, Information Ranking and Retrieval, Coding, Cognitive Systems, Optimal Control, Statistics on Manifolds, Machine Learning, Speech/sound recognition and natural language treatment which are also substantially relevant for the industry.
445 kr
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This gentle introduction to High Performance Computing (HPC) for DataScience using the Message Passing Interface (MPI) standard has been designed as a first course for undergraduates on parallel programming ondistributed memory models, and requires only basic programming notions.Dividedinto two parts the first part covers high performance computing using C++ with the Message Passing Interface (MPI) standard followed by a second part providing high-performance data analytics on computer clusters.In the first part, the fundamental notions of blocking versus non-blocking point-to-point communications, global communications(like broadcast or scatter) and collaborative computations (reduce), with Amdalh and Gustafson speed-up laws are described before addressing parallel sorting and parallel linear algebra on computer clusters. The common ring, torus and hypercube topologies of clusters are then explained and global communication procedures on these topologies are studied. This first part closes with the MapReduce (MR) model of computation well-suited to processing big data using the MPI framework.Inthe second part, the book focuses on high-performance data analytics. Flat and hierarchical clustering algorithms are introduced for data exploration along with how to program these algorithms on computer clusters, followed by machine learning classification, and an introduction to graph analytics. This part closes with a concise introduction to data core-sets that let big data problems be amenable totiny data problems.Exercises are included at the end of each chapter in order for students to practice the concepts learned, and a final section contains an overall exam which allows them to evaluate howwell they have assimilated the material covered in the book.
Del 9389 - Lecture Notes in Computer Science
Geometric Science of Information
Second International Conference, GSI 2015, Palaiseau, France, October 28-30, 2015, Proceedings
Häftad, Engelska, 2015
538 kr
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This book constitutes the refereed proceedings of the Second International Conference on Geometric Science of Information, GSI 2015, held in Palaiseau, France, in October 2015.The 80 full papers presented were carefully reviewed and selected from 110 submissions and are organized into the following thematic sessions: Dimension reduction on Riemannian manifolds; optimal transport; optimal transport and applications in imagery/statistics; shape space and diffeomorphic mappings; random geometry/homology; Hessian information geometry; topological forms and Information; information geometry optimization; information geometry in image analysis; divergence geometry; optimization on manifold; Lie groups and geometric mechanics/thermodynamics; computational information geometry; Lie groups: novel statistical and computational frontiers; geometry of time series and linear dynamical systems; and Bayesian and information geometry for inverse problems.
1 069 kr
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This book brings together geometric tools and their applications for Information analysis. It collects current and many uses of in the interdisciplinary fields of Information Geometry Manifolds in Advanced Signal, Image & Video Processing, Complex Data Modeling and Analysis, Information Ranking and Retrieval, Coding, Cognitive Systems, Optimal Control, Statistics on Manifolds, Machine Learning, Speech/sound recognition and natural language treatment which are also substantially relevant for the industry.
1 757 kr
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This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals. It provides introductory chapters to help those new to information geometry and applies the theory to several applications. This area has developed rapidly over recent years, propelled by the major theoretical developments in information geometry, efficient data and image acquisition and the desire to process and interpret large databases of digital information. The book addresses both the transfer of methodology to practitioners involved in database analysis and in its efficient computational implementation.
Del 10589 - Lecture Notes in Computer Science
Geometric Science of Information
Third International Conference, GSI 2017, Paris, France, November 7-9, 2017, Proceedings
Häftad, Engelska, 2017
1 069 kr
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This book constitutes the refereed proceedings of the Third International Conference on Geometric Science of Information, GSI 2017, held in Paris, France, in November 2017.The 101 full papers presented were carefully reviewed and selected from 113 submissions and are organized into the following subjects: statistics on non-linear data; shape space; optimal transport and applications: image processing; optimal transport and applications: signal processing; statistical manifold and hessian information geometry; monotone embedding in information geometry; information structure in neuroscience; geometric robotics and tracking; geometric mechanics and robotics; stochastic geometric mechanics and Lie group thermodynamics; probability on Riemannian manifolds; divergence geometry; non-parametric information geometry; optimization on manifold; computational information geometry; probability density estimation; session geometry of tensor-valued data; geodesic methods with constraints; applications of distance geometry.
1 229 kr
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This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals.
Emerging Trends in Visual Computing
LIX Fall Colloquium, ETVC 2008, Palaiseau, France, November 18-20, 2008, Revised Selected and Invited Papers
Häftad, Engelska, 2009
554 kr
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ETVC2008,thefallcolloquiumofthecomputersciencedepartment(LIX)ofthe ' Ecole Polytechnique, held in Palaiseau, France, November 18-20, 2008, focused ontheEmergingTrendsinVisualComputing.Thecolloquiumgavescientiststhe opportunity to sketch a state-of-the-artpicture of the mathematical foundations of visual computing. We weredelightedto invite andwelcome the followingdistinguishedspeakers to ETVC 2008 (listed in alphabetical order): - Shun-ichi AMARI (Mathematical Neuroscience Laboratory, Brain Science Institute, RIKEN, Wako-Shi, Japan): Information Geometry and Its Applications - Tetsuo ASANO (School of Information Science, Japan Advanced Institute of Science and Technology, JAIST, Japan): Constant-Working-Space Al- rithms for Image Processing - Francis BACH (INRIA/ENS, France): Machine Learning and Kernel Me- ods for Computer Vision - Fr' ed' eric BARBARESCO (Thales Air Systems, France): Applications of - formation Geometry to Radar Signal Processing - Michel BARLAUD (I3S CNRS, University of Nice-Sophia-Antipolis, Po- tech'Nice & Institut Universitaire de France, France): Image Retrieval via Kullback Divergence of Patches of Wavelets Coe?cients in the k-NN Framework - Jean-Daniel BOISSONNAT (GEOMETRICA, INRIA Sophia-Antipolis, France): Certi?ed Mesh Generation - Pascal FUA (EPFL, CVLAB, Switzerland): Recovering Shape and Motion from Video Sequences - Markus GROSS (Department of Computer Science, Institute of Scienti?c Computing, Swiss Federal Institute of Technology Zurich, ETHZ, Switz- land): 3D Video: A Fusion of Graphics and Vision - Xianfeng David GU (State University of New York at Stony Brook, USA): Discrete Curvature Flow for Surfaces and 3-Manifolds - Leonidas GUIBAS (Computer Science Department, Stanford University, USA): Detection of Symmetries and Repeated Patterns in 3D Point Cloud Data - Sylvain LAZARD (VEGAS, INRIA LORIA Nancy, France): 3D Visibility and Lines in Space VI Preface '
1 600 kr
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This book presents advances in matrix and tensor data processing in the domain of signal, image and information processing. The theoretical mathematical approaches are discusses in the context of potential applications in sensor and cognitive systems engineering. The topics and application include Information Geometry, Differential Geometry of structured Matrix, Positive Definite Matrix, Covariance Matrix, Sensors (Electromagnetic Fields, Acoustic sensors) and Applications in Cognitive systems, in particular Data Mining.
Geometric Science of Information
First International Conference, GSI 2013, Paris, France, August 28-30, 2013, Proceedings
Häftad, Engelska, 2013
554 kr
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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, Tensor-Valued Mathematical Morphology, Machine/Manifold/Topology Learning, Geometry of Audio Processing, Geometry of Inverse Problems, Algebraic/Infinite dimensional/Banach Information Manifolds, Information Geometry Manifolds, and Algorithms on Manifolds.
1 600 kr
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This book presents advances in matrix and tensor data processing in the domain of signal, image and information processing. The theoretical mathematical approaches are discusses in the context of potential applications in sensor and cognitive systems engineering. The topics and application include Information Geometry, Differential Geometry of structured Matrix, Positive Definite Matrix, Covariance Matrix, Sensors (Electromagnetic Fields, Acoustic sensors) and Applications in Cognitive systems, in particular Data Mining.