The First History Of A Federal District Court in a midwestern state, A Place of Recourse explains a district court's function and how its mission has evolved. The court has grown from an obscure institution adjudicating minor debt and land disputes to one that plays a central role in the political, economic, and social lives of southern Ohioans. In tracing the court's development, Alexander explores the central issues confronting the district court judges during each historical era. She describes how this court in a non-slave state responded to fugitive slave laws and how a court whose jurisdiction included a major coal-mining region responded to striking workers and the unionization movement. The book also documents judicial responses to Prohibition, New Deal legislation, crime, mass tort litigation, and racial desegregation. The history of a court is also the history of its judges. Accordingly, Alexander provides historical insight on current and past judges. She details behind-the-scenes maneuvers in judicial appointments and also the creativity some judges displayed on the bench - such as Judge Leavitt, who adopted admiralty law to deal with the problems of river traffic. A Pla
Accounts of Jack Cade's 1450 Rebellion-an uprising of some 30,000 middle-class citizens, protesting Henry VI's policies, and resulting in hundreds of deaths as well as the leaders' execution-form the dominant entry in a group of quasi-historical documents referred to as the London chronicles of the Fifteenth Century. However, each chronicle is inherently different and highly subjective. In the first study of the primary documents related to the Cade Rebellion, Alexander L. Kaufman shows that the chroniclers produced multiple representations of the event rather than a single, unified narrative. Aided by contemporary theories of historiography and historical representation, Kaufman scrutinizes the differing representations and distinguishes the writers' objectiveness, their underrated literary skills, and their ideological positions on the rebellion and fifteenth-century politics. He demonstrates how the use of figurative language is related to writing about trauma, and how descriptions of Cade's procession through London are a violent parody of midsummer festivals. In an exploration of authenticity in the descriptions of Cade, Kaufman also examines the characterization and plot devices that push Cade towards the realm of myth, showing that representations of Cade are influenced by popular fifteenth-century stories of Robin Hood.
Presents the science of colour from new perspectives and outlines results obtained from the authors’ work in the mathematical theory of colour This innovative volume summarizes existing knowledge in the field, attempting to present as much data as possible about colour, accumulated in various branches of science (physics, phychophysics, colorimetry, physiology) from a unified theoretical position. Written by a colour specialist and a professional mathematician, the book offers a new theoretical framework based on functional analysis and convex analysis. Employing these branches of mathematics, instead of more conventional linear algebra, allows them to provide the knowledge required for developing techniques to measure colour appearance to the standards adopted in colorimetric measurements. The authors describe the mathematics in a language that is understandable for colour specialists and include a detailed overview of all chapters to help readers not familiar with colour science. Divided into two parts, the book first covers various key aspects of light colour, such as colour stimulus space, colour mechanisms, colour detection and discrimination, light-colour perception typology, and light metamerism. The second part focuses on object colour, featuring detailed coverage of object-colour perception in single- and multiple-illuminant scenes, object-colour solid, colour constancy, metamer mismatching, object-colour indeterminacy and more. Throughout the book, the authors combine differential geometry and topology with the scientific principles on which colour measurement and specification are currently based and applied in industrial applications. Presents a unique compilation of the author’s substantial contributions to colour science Offers a new approach to colour perception and measurement, developing the theoretical framework used in colorimetry Bridges the gap between colour engineering and a coherent mathematical theory of colour Outlines mathematical foundations applicable to the colour vision of humans and animals as well as technologies equipped with artificial photosensors Contains algorithms for solving various problems in colour science, such as the mathematical problem of describing metameric lights Formulates all results to be accessible to non-mathematicians and colour specialists Foundations of Colour Science: From Colorimetry to Perception is an invaluable resource for academics, researchers, industry professionals and undergraduate and graduate students with interest in a mathematical approach to the science of colour.
A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs—-kernels—for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by the choice of the kernel function and the base algorithm. They are replacing neural networks in a variety of fields, including engineering, information retrieval, and bioinformatics. Learning with Kernels provides an introduction to SVMs and related kernel methods. Although the book begins with the basics, it also includes the latest research. It provides all of the concepts necessary to enable a reader equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy-to-use kernel algorithms and to understand and apply the powerful algorithms that have been developed over the last few years.
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