From the creator of the popular TV show "Clarissa Explains It All" comes the story of a 19-year-old girl from Jersey who is thrust into the world of socialites after she tries on the iconic little black dress worn by Audrey Hepburn in the film "Breakfast at Tiffany's.
Stephen A. Mitchell has been at the forefront of the broad paradigmatic shift in contemporary psychoanalysis from the traditional one-person model to a two-person, interactive, relational perspective. In Influence and Autonomy in Psychoanalysis, Mitchell provides a critical, comparative framework for exploring the broad array of concepts newly developed for understanding interactive processes between analysand and analyst. Drawing on the broad traditions of Kleinian theory and interpersonal psychoanalysis, as well as object relations and progressive Freudian thought, he considers in depth the therapeutic action of psychoanalysis, anachronistic ideals like anonymity and neutrality, the nature of analytic knowledge and authority, and the problems of gender and sexual orientation in the age of postmodernism. The problem of influence guides his discussion of these and other topics. How, Mitchell asks, can analytic clinicians best protect the patient’s autonomy and integrity in the context of our growing appreciation of the enormous personal impact of the analyst on the process? Although Mitchell explores many facets of the complexity of the psychoanalytic process, he presents his ideas in his customarily lucid, jargon-free style, making this book appealing not only to clinicians with various backgrounds and degrees of experience, but also to lay readers interested in the achievements of, and challenges before, contemporary psychoanalysis. A splendid effort to relate parallel lines of theorizing and derivative changes in clinical practice and informed by mature clinical judgment and broad scholarship into the history of psychoanalytic ideas, Influence and Autonomy in Psychoanalysis takes a well-deserved place alongside Mitchell’s previous books. It is a brilliant synthesis of converging insights that have transformed psychoanalysis in our time, and a touchstone for enlightened dialogue as psychoanalysis approaches the millennium.
The purpose of this book is to provide a practical introduction to the th- ries, techniques and applications of image fusion. The present work has been designed as a textbook for a one-semester ?nal-year undergraduate, or ?r- year graduate, course in image fusion. It should also be useful to practising engineers who wish to learn the concepts of image fusion and apply them to practical applications. In addition, the book may also be used as a supp- mentary text for a graduate course on topics in advanced image processing. The book complements the author’s previous work on multi-sensor data [1] fusion by concentrating exclusively on the theories, techniques and app- cations of image fusion. The book is intended to be self-contained in so far as the subject of image fusion is concerned, although some prior exposure to the ?eld of computer vision and image processing may be helpful to the reader. Apart from two preliminary chapters, the book is divided into three parts.
This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction" which was originally published by Springer-Verlag in 2007. The main changes in the new book are: New Material: Apart from one new chapter there are approximately 30 new sections, 50 new examples and 100 new references. At the same time, material which is out-of-date has been eliminated and the remaining text has been rewritten for added clarity. Altogether, the new book is nearly 70 pages longer than the original book. Matlab code: Where appropriate we have given details of Matlab code which may be downloaded from the worldwide web. In a few places, where such code is not readily available, we have included Matlab code in the body of the text. Layout. The layout and typography has been revised. Examples and Matlab code now appear on a gray background for easy identification and advancd material is marked with an asterisk. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familarity with the basic tools of linear algebra, calculus and simple probability is recommended. Although conceptually simple, the study of mult-sensor data fusion presents challenges that are unique within the education of the electrical engineer or computer scientist. To become competent in the field the student must become familiar with tools taken from a wide range of diverse subjects including: neural networks, signal processing, statistical estimation, tracking algorithms, computer vision and control theory. All too often, the student views multi-sensor data fusion as a miscellaneous assortment of different processes which bear no relationship to each other. In contrast, in this book the processes are unified by using a common statistical framework. As a consequence, the underlying pattern of relationships that exists between the different methodologies is made evident. The book is illustrated with many real-life examples taken from a diverse range of applications and contains an extensive list of modern references.
Wise and witty, Clarissa is the thinking woman's adolescent--and star of Nickolodeon's hot show Clarissa Explains It All. Here she presents her wild and wacky point of view on a variety of topics.
A Surprise in the Mailbox" brings the news that Tutter's grandmother is coming to visit--that day! Will Tutter clean the house well enough to satisfy her very neat relative? Full color.
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