What Is The Pattern Recognition
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Pattern Recognition
It's only called paranoia if you can't prove it. Cayce is in London to work. Her pathological sensitivity to brands makes her the perfect divining rod for an ad agency that wants to east a new logo. But when she is co-opted into the search for the creator of a strangely addictive on-line film, Cayce wonders if she has done the right - or indeed, safe - thing. And that's before violence, Japanese computer crazies and Russian Mafia men are in the mix. But she wants to discover the source of the film too, and the truth of her father's disappearance in New York, two years ago. And from the way people are trying to stop her, it looks like she's getting close . . .
Pattern Recognition and Classification
Author: Geoff Dougherty
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-10-28
The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner. Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer vision. Fundamental concepts of supervised and unsupervised classification are presented in an informal, rather than axiomatic, treatment so that the reader can quickly acquire the necessary background for applying the concepts to real problems. More advanced topics, such as semi-supervised classification, combining clustering algorithms and relevance feedback are addressed in the later chapters. This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.
Pattern Recognition
Author: J.P. Marques de Sá
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Pattern recognition currently comprises a vast body of methods supporting the development of numerous applications in many different areas of activity. The generally recognized relevance of pattern recognition methods and techniques lies, for the most part, in the general trend of "intelligent" task emulation, which has definitely pervaded our daily life. Robot assisted manufacture, medical diagnostic systems, forecast of economic variables, exploration of Earth's resources, and analysis of satellite data are just a few examples of activity fields where this trend applies. The pervasiveness of pattern recognition has boosted the number of task specific methodologies and enriched the number of links with other disciplines. As counterbalance to this dispersive tendency there have been, more recently, new theoretical developments that are bridging together many of the classical pattern recognition methods and presenting a new perspective of their links and inner workings. This book has its origin in an introductory course on pattern recognition taught at the Electrical and Computer Engineering Department, Oporto University. From the initial core of this course, the book grew with the intent of presenting a comprehensive and articulated view of pattern recognition methods combined with the intent of clarifying practical issues with the aid of examples and applications to real-life data. The book is primarily addressed to undergraduate and graduate students attending pattern recognition courses of engineering and computer science curricula.