Geometry Driven Statistics

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Publisher : John Wiley & Sons
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ISBN 10 : 9781118866573
Pages : 432 pages
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Rating : 4.6/5 (866 users download)


Download Geometry Driven Statistics by Ian L. Dryden PDF/Ebook Free clicking on the below button will initiate the downloading process of Geometry Driven Statistics by Ian L. Dryden. This book is available in ePub and PDF format with a single click unlimited downloads. A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influential work of Kanti V. Mardia This volume celebrates Kanti V. Mardia′s long and influential career in statistics. A common theme unifying much of Mardia s work is the importance of geometry in statistics, and to highlight the areas emphasized in his research this book brings together 16 contributions from high–profile researchers in the field. Geometry Driven Statistics covers a wide range of application areas including directional data, shape analysis, spatial data, climate science, fingerprints, image analysis, computer vision and bioinformatics. The book will appeal to statisticians and others with an interest in data motivated by geometric considerations. Summarizing the state of the art, examining some new developments and presenting a vision for the future, Geometry Driven Statistics will enable the reader to broaden knowledge of important research areas in statistics and gain a new appreciation of the work and influence of Kanti V. Mardia.


Object Oriented Data Analysis

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Publisher : CRC Press
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ISBN 10 : 9781351189668
Pages : 436 pages
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Rating : 4.8/5 (189 users download)


Download Object Oriented Data Analysis by J. S. Marron PDF/Ebook Free clicking on the below button will initiate the downloading process of Object Oriented Data Analysis by J. S. Marron. This book is available in ePub and PDF format with a single click unlimited downloads. Object Oriented Data Analysis is a framework that facilitates inter-disciplinary research through new terminology for discussing the often many possible approaches to the analysis of complex data. Such data are naturally arising in a wide variety of areas. This book aims to provide ways of thinking that enable the making of sensible choices. The main points are illustrated with many real data examples, based on the authors' personal experiences, which have motivated the invention of a wide array of analytic methods. While the mathematics go far beyond the usual in statistics (including differential geometry and even topology), the book is aimed at accessibility by graduate students. There is deliberate focus on ideas over mathematical formulas. J. S. Marron is the Amos Hawley Distinguished Professor of Statistics, Professor of Biostatistics, Adjunct Professor of Computer Science, Faculty Member of the Bioinformatics and Computational Biology Curriculum and Research Member of the Lineberger Cancer Center and the Computational Medicine Program, at the University of North Carolina, Chapel Hill. Ian L. Dryden is a Professor in the Department of Mathematics and Statistics at Florida International University in Miami, has served as Head of School of Mathematical Sciences at the University of Nottingham, and is joint author of the acclaimed book Statistical Shape Analysis.


Functional and Shape Data Analysis

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Publisher : Springer
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ISBN 10 : 9781493940202
Pages : 447 pages
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Rating : 4.4/5 (94 users download)


Download Functional and Shape Data Analysis by Anuj Srivastava PDF/Ebook Free clicking on the below button will initiate the downloading process of Functional and Shape Data Analysis by Anuj Srivastava. This book is available in ePub and PDF format with a single click unlimited downloads. This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered—from introductory theory to algorithmic implementations and some statistical case studies—is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines; Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling future scientific challenges. Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves—in one, two, and higher dimensions—both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability. It is recommended that the reader have a background in calculus, linear algebra, numerical analysis, and computation.


Proceedings

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Publisher :
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ISBN 10 : UOM:39015036240284
Pages : pages
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Download Proceedings by PDF/Ebook Free clicking on the below button will initiate the downloading process of Proceedings by . This book is available in ePub and PDF format with a single click unlimited downloads.


Data-driven Processing of Point-sampled Geometry

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ISBN 10 : OCLC:1085941684
Pages : pages
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Download Data-driven Processing of Point-sampled Geometry by Riccardo Roveri PDF/Ebook Free clicking on the below button will initiate the downloading process of Data-driven Processing of Point-sampled Geometry by Riccardo Roveri. This book is available in ePub and PDF format with a single click unlimited downloads.


Progress in Information Geometry

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Publisher : Springer Nature
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ISBN 10 : 9783030654597
Pages : 274 pages
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Rating : 4.5/5 (654 users download)


Download Progress in Information Geometry by Frank Nielsen PDF/Ebook Free clicking on the below button will initiate the downloading process of Progress in Information Geometry by Frank Nielsen. This book is available in ePub and PDF format with a single click unlimited downloads. This book focuses on information-geometric manifolds of structured data and models and related applied mathematics. It features new and fruitful interactions between several branches of science: Advanced Signal/Image/Video Processing, Complex Data Modeling and Analysis, Statistics on Manifolds, Topology/Machine/Deep Learning and Artificial Intelligence. The selection of applications makes the book a substantial information source, not only for academic scientist but it is also highly relevant for industry. The book project was initiated following discussions at the international conference GSI’2019 – Geometric Science of Information that was held at ENAC, Toulouse (France).


Bayesian Statistics 5

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Publisher : Oxford University Press on Demand
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ISBN 10 : UOM:39015037829929
Pages : 813 pages
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Rating : 4./5 ( users download)


Download Bayesian Statistics 5 by J. M. Bernardo PDF/Ebook Free clicking on the below button will initiate the downloading process of Bayesian Statistics 5 by J. M. Bernardo. This book is available in ePub and PDF format with a single click unlimited downloads. The Valencia International Meetings on Bayesian Statistics, held every four years, provide the forum for researchers to come together and discuss frontier developments in the field. The resulting Proceedings provide a definitive, up-to-date overview encompassing a wide range of theoretical and applied research. This fifth Proceedings is no exception. In particular, it reflects a growing emphasis on computational issues, concerned with making Bayesian methods routinely available to applied practitioners, both statisticians and speciailists in other subject-matter, whose work depends on careful quantification of uncertainties. This book contains several invited papers by leading authorities.


Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis

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Publisher : CRC Press
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ISBN 10 : 1439820503
Pages : 542 pages
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Rating : 4.3/5 (439 users download)


Download Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis by Victor Patrangenaru PDF/Ebook Free clicking on the below button will initiate the downloading process of Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis by Victor Patrangenaru. This book is available in ePub and PDF format with a single click unlimited downloads. A New Way of Analyzing Object Data from a Nonparametric Viewpoint Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis provides one of the first thorough treatments of the theory and methodology for analyzing data on manifolds. It also presents in-depth applications to practical problems arising in a variety of fields, including statistics, medical imaging, computer vision, pattern recognition, and bioinformatics. The book begins with a survey of illustrative examples of object data before moving to a review of concepts from mathematical statistics, differential geometry, and topology. The authors next describe theory and methods for working on various manifolds, giving a historical perspective of concepts from mathematics and statistics. They then present problems from a wide variety of areas, including diffusion tensor imaging, similarity shape analysis, directional data analysis, and projective shape analysis for machine vision. The book concludes with a discussion of current related research and graduate-level teaching topics as well as considerations related to computational statistics. Researchers in diverse fields must combine statistical methodology with concepts from projective geometry, differential geometry, and topology to analyze data objects arising from non-Euclidean object spaces. An expert-driven guide to this approach, this book covers the general nonparametric theory for analyzing data on manifolds, methods for working with specific spaces, and extensive applications to practical research problems. These problems show how object data analysis opens a formidable door to the realm of big data analysis.


Geometric Structures of Information

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Publisher : Springer
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ISBN 10 : 9783030025205
Pages : 392 pages
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Rating : 4.2/5 (25 users download)


Download Geometric Structures of Information by Frank Nielsen PDF/Ebook Free clicking on the below button will initiate the downloading process of Geometric Structures of Information by Frank Nielsen. This book is available in ePub and PDF format with a single click unlimited downloads. 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.


Current Index to Statistics, Applications, Methods and Theory

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Publisher :
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ISBN 10 : UOM:39015053598127
Pages : pages
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Download Current Index to Statistics, Applications, Methods and Theory by PDF/Ebook Free clicking on the below button will initiate the downloading process of Current Index to Statistics, Applications, Methods and Theory by . This book is available in ePub and PDF format with a single click unlimited downloads. The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.


Activity-oriented Mathematics

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Publisher : Brooks/Cole
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ISBN 10 : UVA:X000653321
Pages : 481 pages
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Download Activity-oriented Mathematics by William E. Schall PDF/Ebook Free clicking on the below button will initiate the downloading process of Activity-oriented Mathematics by William E. Schall. This book is available in ePub and PDF format with a single click unlimited downloads.


Combining Recognition and Geometry for Data-driven 3D Reconstruction

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ISBN 10 : OCLC:845314831
Pages : 50 pages
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Download Combining Recognition and Geometry for Data-driven 3D Reconstruction by Andrew Hale Owens PDF/Ebook Free clicking on the below button will initiate the downloading process of Combining Recognition and Geometry for Data-driven 3D Reconstruction by Andrew Hale Owens. This book is available in ePub and PDF format with a single click unlimited downloads. Today's multi-view 3D reconstruction techniques rely almost exclusively on depth cues that come from multiple view geometry. While these cues can be used to produce highly accurate reconstructions, the resulting point clouds are often noisy and incomplete. Due to these issues, it may also be difficult to answer higher-level questions about the geometry, such as whether two surfaces meet at a right angle or whether a surface is planar. Furthermore, state-of-the-art reconstruction techniques generally cannot learn from training data, so having the ground-truth geometry for one scene does not aid in reconstructing similar scenes. In this work, we make two contributions toward data-driven 3D reconstruction. First, we present a dataset containing hundreds of RGBD videos that can be used as a source of training data for reconstruction algorithms. Second, we introduce the concept of the Shape Anchor, a region for which the combination of recognition and multiple view geometry allows us to accurately predict the latent, dense point cloud. We propose a technique to detect these regions and to predict their shapes, and we demonstrate it on our dataset.


Uncertain Projective Geometry

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Publisher : Springer Science & Business Media
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ISBN 10 : 9783540220299
Pages : 210 pages
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Rating : 4.2/5 (22 users download)


Download Uncertain Projective Geometry by Stephan Heuel PDF/Ebook Free clicking on the below button will initiate the downloading process of Uncertain Projective Geometry by Stephan Heuel. This book is available in ePub and PDF format with a single click unlimited downloads. Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis. This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms. The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis.


An Open-geometry Experiment to Study J/psi Production in Proton-nucleus Collisions at 800 GeV/C

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Publisher :
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ISBN 10 : IND:39000001515050
Pages : 402 pages
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Rating : 4./5 ( users download)


Download An Open-geometry Experiment to Study J/psi Production in Proton-nucleus Collisions at 800 GeV/C by Paul A. Draper PDF/Ebook Free clicking on the below button will initiate the downloading process of An Open-geometry Experiment to Study J/psi Production in Proton-nucleus Collisions at 800 GeV/C by Paul A. Draper. This book is available in ePub and PDF format with a single click unlimited downloads.


Data-Driven 3D Facial Animation

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Publisher : Springer Science & Business Media
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ISBN 10 : 9781846289064
Pages : 296 pages
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Rating : 4.8/5 (289 users download)


Download Data-Driven 3D Facial Animation by Zhigang Deng PDF/Ebook Free clicking on the below button will initiate the downloading process of Data-Driven 3D Facial Animation by Zhigang Deng. This book is available in ePub and PDF format with a single click unlimited downloads. Data-Driven 3D Facial Animation systematically describes the important techniques developed over the last ten years or so. Comprehensive in scope, the book provides an up-to-date reference source for those working in the facial animation field.


Differential Geometry in Statistical Inference

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Publisher : IMS
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ISBN 10 : 0940600129
Pages : 240 pages
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Rating : 4.4/5 (94 users download)


Download Differential Geometry in Statistical Inference by Shun'ichi Amari PDF/Ebook Free clicking on the below button will initiate the downloading process of Differential Geometry in Statistical Inference by Shun'ichi Amari. This book is available in ePub and PDF format with a single click unlimited downloads.


Variational and Level Set Methods in Computer Vision

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Publisher : IEEE
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ISBN 10 : 076951278X
Pages : 203 pages
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Rating : 4.6/5 (769 users download)


Download Variational and Level Set Methods in Computer Vision by PDF/Ebook Free clicking on the below button will initiate the downloading process of Variational and Level Set Methods in Computer Vision by . This book is available in ePub and PDF format with a single click unlimited downloads. Annotation Twenty-five papers from the July 2001 conference in Canada focus on recent innovations in computer vision applications, with attention to both the mathematical and computational frameworks involved. Specific papers address topics like restoration, registration, de-blurring, invariant edge completion, segmentation, 3D and level sets, and tracking. Papers and posters are both represented. Participants in a panel discussion are listed. Author index only. c. Book News Inc.


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