Cultural Manifold Analysis on National Character, Yoshino
Автор: Chikuse Yasuko Название: Statistics on Special Manifolds ISBN: 0387001603 ISBN-13(EAN): 9780387001609 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Covering statistical analysis on the two special manifolds, the Stiefel manifold and the Grassmann manifold, this book is designed as a reference for both theoretical and applied statisticians.
This book first presents an overview of the history of a national character survey by the Institute of Statistical Mathematics that has been conducted for more than 65 years. The Japanese National Character Survey, launched in 1953, is a rare longitudinal survey in the world of survey research based on rigorous statistical sampling theory, motivating other countries to launch similar longitudinal surveys, including the General Social Survey (GSS), the Allgemeine Bevцlkerungsumfrage der Sozialwissenschaften (ALLBUS, German General Social Survey (GGSS)), Eurobarometer, and others. Since the early 1970s, the Japanese survey has been extended as a cross-national survey for more advanced research of the Japanese national character in a comparative context. Second, the book explains the paradigm of cross-national studies called the Cultural Manifold Analysis (CULMAN), developed in the longitudinal and cross-national surveys, with practical examples of analysis. This explanation will help helps a wide range of readers to better understand the cross-national comparative surveys of attitudes, opinion, and social values as basic information for evidence-based policymaking and research.
Автор: Ma Название: Manifold Learning Theory and Applications ISBN: 1439871094 ISBN-13(EAN): 9781439871096 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread application in machine learning, neural networks, pattern recognition, image processing, and computer vision.
Filling a void in the literature, Manifold Learning Theory and Applications incorporates state-of-the-art techniques in manifold learning with a solid theoretical and practical treatment of the subject. Comprehensive in its coverage, this pioneering work explores this novel modality from algorithm creation to successful implementation--offering examples of applications in medical, biometrics, multimedia, and computer vision. Emphasizing implementation, it highlights the various permutations of manifold learning in industry including manifold optimization, large scale manifold learning, semidefinite programming for embedding, manifold models for signal acquisition, compression and processing, and multi scale manifold.
Beginning with an introduction to manifold learning theories and applications, the book includes discussions on the relevance to nonlinear dimensionality reduction, clustering, graph-based subspace learning, spectral learning and embedding, extensions, and multi-manifold modeling. It synergizes cross-domain knowledge for interdisciplinary instructions, offers a rich set of specialized topics contributed by expert professionals and researchers from a variety of fields. Finally, the book discusses specific algorithms and methodologies using case studies to apply manifold learning for real-world problems.
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.
Автор: Bhattacharya Название: Nonparametric Inference on Manifolds ISBN: 1107484316 ISBN-13(EAN): 9781107484313 Издательство: Cambridge Academ Рейтинг: Цена: 40130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Ideal for statisticians, this book will also interest probabilists, mathematicians, computer scientists, and morphometricians with mathematical training. It presents a systematic introduction to a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important applications in medical diagnostics, image analysis and machine vision.
Автор: Micka?l D. Chekroun; Honghu Liu; Shouhong Wang Название: Approximation of Stochastic Invariant Manifolds ISBN: 3319124951 ISBN-13(EAN): 9783319124957 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations.
Автор: Aguiar E. Oliveira Junior Hime Название: Evolutionary Global Optimization, Manifolds and Applications ISBN: 3319799584 ISBN-13(EAN): 9783319799582 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems. Here, these problems are reformulated as constrained global optimization tasks and solved with the help of Fuzzy ASA.
This book provides a comprehensive and rigorous treatment of real-life scientific problems which encounter non-linear data. The authors first present methods for developing distributions on a circle. Then, they proceed to show how such methods are generalized for other manifolds. They also consider new methods peculiar to certain other manifolds, like disc and hyperdisc. The organization of the book develops the methods from the beginning for a simple manifold, letting the reader appreciate how these unfold and generalize to more complicated manifolds. Next, rather than separately treating one distribution at a time, the authors develop the generalizations of the methods of derivations. Finally, new distributions are presented as outcomes of these generalizations. The authors also provide several real-life examples, which not only attest to the ongoing usefulness, but will also help the reader visualize other modern day areas of the applications of these important distributions.
Автор: Micka?l D. Chekroun; Honghu Liu; Shouhong Wang Название: Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations ISBN: 3319125192 ISBN-13(EAN): 9783319125190 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs).
Автор: Hime Aguiar e Oliveira Junior Название: Evolutionary Global Optimization, Manifolds and Applications ISBN: 3319264664 ISBN-13(EAN): 9783319264660 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems. Here, these problems are reformulated as constrained global optimization tasks and solved with the help of Fuzzy ASA.
Автор: Tony Penikett Название: Hunting the Northern Character ISBN: 0774880015 ISBN-13(EAN): 9780774880015 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 25040.00 T Наличие на складе: Невозможна поставка. Описание:
Canadian politicians, like many of their circumpolar counterparts, brag about their country’s “Arctic identity” or “northern character,” but what do they mean, exactly? Stereotypes abound, from Dudley Do-Right to Northern Exposure, but these southern perspectives fail to capture northern realities. During decades of service as a legislator, mediator, and negotiator, Tony Penikett witnessed a new northern consciousness grow out of the challenges of the Cold War, climate change, land rights struggles, and the boom and bust of resource megaprojects. His lively account of clashes and accommodations between Indigenous and non-Indigenous leaders not only retraces the footsteps of his hunt for a northern identity but tells the story of an Arctic that the world does not yet know.
Автор: Robert C. Smith Название: Questions of Character: The Presidency of Donald J. Trump ISBN: 1955055084 ISBN-13(EAN): 9781955055086 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 83160.00 T Наличие на складе: Поставка под заказ. Описание: Conversations about Donald Trump often begin with the question: how did he become president? In Questions of Character, Robert Smith provides some compelling answers based on his assessment of the role that personality and character played leading up to and during Trump's term in office. Smith traces the impact of Trump's character on the conduct of domestic and foreign policy, the organization of the White House staff and decisionmaking processes, and the habitual use of inflammatory rhetoric to advance policies and rally and sustain the "Make America Great Again" constituency. He also looks at Trump's reaction to defeat in the 2020 election. The result is a comprehensive exploration of the consequences of Trump’s character - personal, presidential, and democratic - during this contentious period in US presidential history.
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