An Introduction to the Design of Pattern Recognition Devices
Author: P. W. Becker
Publisher:
Published: 2014-09-01
Total Pages: 192
ISBN-13: 9783709126516
DOWNLOAD EBOOKRead and Download eBook Full
Author: P. W. Becker
Publisher:
Published: 2014-09-01
Total Pages: 192
ISBN-13: 9783709126516
DOWNLOAD EBOOKAuthor: Peter W. Becker
Publisher:
Published: 1972
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: P.W. Becker
Publisher: Springer
Published: 2014-05-04
Total Pages: 175
ISBN-13: 3709126509
DOWNLOAD EBOOKAuthor: Peter W. Becker
Publisher: Springer
Published: 1972
Total Pages: 188
ISBN-13: 9780387811536
DOWNLOAD EBOOKIntroduction to problems connected with pattern recognition, & the problem of finding the multivariate probabiluty densities, which have a specified set of marginals. Illustrates two real pattern recognition devices.
Author: Jürgen Beyerer
Publisher: Walter de Gruyter GmbH & Co KG
Published: 2017-12-04
Total Pages: 330
ISBN-13: 3110537966
DOWNLOAD EBOOKThe book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Mathematical methods explained thoroughly Extremely practical approach with many examples Based on over ten years lecture at Karlsruhe Institute of Technology For students but also for practitioners
Author: Paul Fieguth
Publisher: Springer Nature
Published: 2022-11-09
Total Pages: 481
ISBN-13: 3030959953
DOWNLOAD EBOOKThe domains of Pattern Recognition and Machine Learning have experienced exceptional interest and growth, however the overwhelming number of methods and applications can make the fields seem bewildering. This text offers an accessible and conceptually rich introduction, a solid mathematical development emphasizing simplicity and intuition. Students beginning to explore pattern recognition do not need a suite of mathematically advanced methods or complicated computational libraries to understand and appreciate pattern recognition; rather the fundamental concepts and insights, eminently teachable at the undergraduate level, motivate this text. This book provides methods of analysis that the reader can realistically undertake on their own, supported by real-world examples, case-studies, and worked numerical / computational studies.
Author: Terry Murvin Badger
Publisher:
Published: 1962
Total Pages: 136
ISBN-13:
DOWNLOAD EBOOKAuthor: C. H. Chen
Publisher: World Scientific
Published: 1999
Total Pages: 1045
ISBN-13: 9812384731
DOWNLOAD EBOOKThe very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference.
Author: Sergios Theodoridis
Publisher: Academic Press
Published: 2010-03-03
Total Pages: 233
ISBN-13: 0080922759
DOWNLOAD EBOOKIntroduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision. - Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition, Fourth Edition - Solved examples in Matlab, including real-life data sets in imaging and audio recognition - Available separately or at a special package price with the main text (ISBN for package: 978-0-12-374491-3)
Author: Sergios Theodoridis
Publisher: Elsevier
Published: 2003-05-15
Total Pages: 705
ISBN-13: 008051362X
DOWNLOAD EBOOKPattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms.*Approaches pattern recognition from the designer's point of view*New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere*Supplemented by computer examples selected from applications of interest