Thisbook takes a distinctive and innovative approach to a relatively under-exploredquestion, namely: Why do we have human rights? Much political discourse simplyproceeds from the idea that humans have rights because they are human withoutseriously interrogating this notion. EgalitarianRights Recognition offers an account of how human rights are created andhow they may be seen to be legitimate: rights are created through socialrecognition. By combining readings of 19th Century Englishphilosopher T.H. Green with 20th Century political theorist HannahArendt, the author constructs a new theory of the social recognition of rights.He challenges both the standard 'natural rights' approach and also the mainaccounts of the social recognition of rights which tend to portray socialrecognition as settled norms or established ways of acting. In contrast, Hann putsforward a 10-point account of the dynamic and contingent social recognition ofhuman rights, which emphasises the importance of meaningful socio-economicequality.
"Much of pattern recognition theory and practice, including methods such as Support Vector Machines, has emerged in an attempt to solve the character recognition problem. This book is written by very well-known academics who have worked in the field for many years and have made significant and lasting contributions. The book will no doubt be of value to students and practitioners."<br> -Sargur N. Srihari, SUNY Distinguished Professor, Department of Computer Science and Engineering, and Director, Center of Excellence for Document Analysis and Recognition (CEDAR), University at Buffalo, The State University of New York<br> <br> "The disciplines of optical character recognition and document image analysis have a history of more than forty years. In the last decade, the importance and popularity of these areas have grown enormously. Surprisingly, however, the field is not well covered by any textbook. This book has been written by prominent leaders in the field. It includes all important topics in optical character recognition and document analysis, and is written in a very coherent and comprehensive style. This book satisfies an urgent need. It is a volume the community has been awaiting for a long time, and I can enthusiastically recommend it to everybody working in the area."<br> -Horst Bunke, Professor, Institute of Computer Science and Applied Mathematics (IAM), University of Bern, Switzerland<br> <br> In Character Recognition Systems, the authors provide practitioners and students with the fundamental principles and state-of-the-art computational methods of reading printed texts and handwritten materials. The information presented is analogous to the stages of a computer recognition system, helping readers master the theory and latest methodologies used in character recognition in a meaningful way.<br> <br> This book covers:<br> *<br> <br> Perspectives on the history, applications, and evolution of Optical Character Recognition (OCR)<br> *<br> <br> The most widely used pre-processing techniques, as well as methods for extracting character contours and skeletons<br> *<br> <br> Evaluating extracted features, both structural and statistical<br> *<br> <br> Modern classification methods that are successful in character recognition, including statistical methods, Artificial Neural Networks (ANN), Support Vector Machines (SVM), structural methods, and multi-classifier methods<br> *<br> <br> An overview of word and string recognition methods and techniques<br> *<br> <br> Case studies that illustrate practical applications, with descriptions of the methods and theories behind the experimental results<br> <br> Each chapter contains major steps and tricks to handle the tasks described at-hand. Researchers and graduate students in computer science and engineering will find this book useful for designing a concrete system in OCR technology, while practitioners will rely on it as a valuable resource for the latest advances and modern technologies that aren't covered elsewhere in a single book.
The principle of mutual recognition in cooperation in criminal matters thoroughly analyses one of the essential principles in EU criminal law. It deals with the European Arrest Warrant, the framework decision on freezing, the framework decision on financial penalties and the framework decision on confiscation and their implementation in the Nordic Member States. The book not only contains a discussion of the grounds for refusal, but also a comparative analysis of the implementation in Finland, Sweden and Denmark. To this end, the author applies a new systematisation, which makes a more general analysis of the principle of mutual recognition possible. This includes introducing new groups of reasons for the grounds for refusal. The principle of mutual recognition is furthermore analysed in a theoretical setting, which includes general aspects, as well as an analysis of it as a legal principle. This book has been written from a Nordic point of view: it discusses the Nordic Arrest Warrant and points out differences between Nordic and EU cooperation. It will provide the reader with new perspectives and new knowledge on the principle of mutual recognition, both in the EU and in the Nordic setting.
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