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Statistical Shape Analysis
A thoroughly revised and updated edition of this introduction to modern statistical methods for shape analysis Shape analysis is an important tool in the many disciplines where objects are compared using geometrical features. Examples include comparing brain shape in schizophrenia; investigating protein molecules in bioinformatics; and describing growth of organisms in biology. This book is a significant update of the highly-regarded Statistical Shape Analysis by the same authors. The new edition lays the foundations of landmark shape analysis, including geometrical concepts and statistical techniques, and extends to include analysis of curves, surfaces, images and other types of object data...
Object Oriented Data Analysis
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...
Statistical Shape Analysis
Thos book involves methods for the geometrical study of random objects where location, rotation and scale information.
Geometry Driven Statistics
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.
Riemannian Computing in Computer Vision
This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).
Forming the Critical Mind
Offering major reevaluations of Dryden, Hume, and Johnson, Engell shows that 18th-century criticism cannot be represented by just a few major critics or by generalizations about Augustan taste, neoclassical rules, or "common sense." He presents a complex and highly varied body of theoretical writing and practical application by dozens of critics.
Visual Research: An Introduction to Research Methodologies in Graphic Design
Visual Research explains the key terms and theories that underlie design research, examining the importance of audience, communication theory, semiotics and semantics. It features a range of case studies which demonstrate how the use of rigorous research methods can form the basis of effective visual communication and design problem solving, eschewing end product analysis for a discussion of the way research feeds into the design process.
Fundamentals of Pharmacology for Children's Nurses
Registered Nurses must have thorough knowledge of pharmacology, medicines administration, and the effects of medicines. Fundamentals of Pharmacology for Children's Nurses is written for nurses and allied health professionals involved in the care of children and young people (CYP) to focus exclusively on pharmacology. Filling a gap in current literature on the subject, this much-needed resource develops the competence and confidence required to prescribe, dispense, and administer medicines to children and young people. Emphasising the importance of patient-centered care to CYP, the text describes the role of the healthcare provider working with CYP and their families; explains how to use phar...
Ben Jonson
Ben Jonson was the greatest of Shakespeare's contemporaries. In the century following his death he was seen by many as the finest of all English writers, living or dead. His fame rested not only on the numerous plays he had written for the theatre, but on his achievements over three decades as principal masque-writer to the early Stuart court, where he had worked in creative, and often stormy, collaboration with Inigo Jones. One of the most accomplished poets of the age, he had become - in fact if not in title - the first Poet Laureate in England. Jonson's life was full of drama. Serving in the Low Countries as a young man, he overcame a Spanish adversary in single combat in full view of bot...
Visual Statistics
A visually intuitive approach to statistical data analysis Visual Statistics brings the most complex and advanced statistical methods within reach of those with little statistical training by using animated graphics of the data. Using ViSta: The Visual Statistics System-developed by Forrest Young and Pedro Valero-Mora and available free of charge on the Internet-students can easily create fully interactive visualizations from relevant mathematical statistics, promoting perceptual and cognitive understanding of the data's story. An emphasis is placed on a paradigm for understanding data that is visual, intuitive, geometric, and active, rather than one that relies on convoluted logic, heavy ma...
