Intellectual Property Rights in a Networked World is a collection of recent essays offering some fresh perspectives on the scope and future of intellectual property rights. The tripartite division of the book is designed to make this interdisciplinary topic more accessible and intelligible to readers of diverse backgrounds. Part I consists of a single essay that provides a broad overview of the main themes in intellectual property scholarship, such as normative intellectual property theory and the legal infrastructure for property protection. The second section of the book presents several essays that are intended to deepen the reader's understanding of intellectual property theory and show how it can help us to grapple with the proper allocation of property rights in cyberspace. And the final section further develops the themes in Part II but in greater detail and with a more practical orientation. For the most part, the essays in this section illustrate the costs and benefits of applying property rights to cyberspace. While intellectual property rights create dynamic incentive effects, they also entail social costs, and they are sometimes in tension with the development of a robust public domain.
This book is a practical guide to the field of biomedical signal processing and pattern recognition. The authors provide a self-contained volume that will address all the main issues -- e.g., signal peculiarities, popular algorithms, key application examples, etc. -- as well as provide an overview of common traps and mistakes and how to avoid them. The book makes extensive use of pseudo-code and code samples. It discusses available open source toolboxes as well. This book will the non-specilist up to speed with regard to relevant signal processing and pattern recognition. More importantly, it will enable the reader to either program the necessary algorithms or to modify existing open source libraries. This book fills a gap in several new interdisciplinary areas, such as human-machine interaction, affective computing, and computer games, that have as a common task the processing and analysis of biomedical data. Yet, it is also a valuable tool for students at the intermediate and advanced levels in more traditional biomedical pattern recognition.
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