Pattern Recognition and Classification - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Pattern Recognition and Classification write by Geoff Dougherty. This book was released on 2012-10-28. Pattern Recognition and Classification available in PDF, EPUB and Kindle. 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 and Classification in Time Series Data
Pattern Recognition and Classification in Time Series Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Pattern Recognition and Classification in Time Series Data write by Volna, Eva. This book was released on 2016-07-22. Pattern Recognition and Classification in Time Series Data available in PDF, EPUB and Kindle. Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design. As technologies continue to advance, recognizing, mimicking, and responding to all types of patterns becomes more precise. Pattern Recognition and Classification in Time Series Data focuses on intelligent methods and techniques for recognizing and storing dynamic patterns. Emphasizing topics related to artificial intelligence, pattern management, and algorithm development, in addition to practical examples and applications, this publication is an essential reference source for graduate students, researchers, and professionals in a variety of computer-related disciplines.
Pattern Classification
Pattern Classification - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Pattern Classification write by Richard O. Duda. This book was released on 2012-11-09. Pattern Classification available in PDF, EPUB and Kindle. The first edition, published in 1973, has become a classicreference in the field. Now with the second edition, readers willfind information on key new topics such as neural networks andstatistical pattern recognition, the theory of machine learning,and the theory of invariances. Also included are worked examples,comparisons between different methods, extensive graphics, expandedexercises and computer project topics. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.
Principles of Nonparametric Learning
Principles of Nonparametric Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Principles of Nonparametric Learning write by Laszlo Györfi. This book was released on 2014-05-04. Principles of Nonparametric Learning available in PDF, EPUB and Kindle. This volume provides a systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density estimation, and genetic programming.
Pattern Classification
Pattern Classification - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Pattern Classification write by Jgen Schmann. This book was released on 1996-03-15. Pattern Classification available in PDF, EPUB and Kindle. PATTERN CLASSIFICATION a unified view of statistical and neural approaches The product of years of research and practical experience in pattern classification, this book offers a theory-based engineering perspective on neural networks and statistical pattern classification. Pattern Classification sheds new light on the relationship between seemingly unrelated approaches to pattern recognition, including statistical methods, polynomial regression, multilayer perceptron, and radial basis functions. Important topics such as feature selection, reject criteria, classifier performance measurement, and classifier combinations are fully covered, as well as material on techniques that, until now, would have required an extensive literature search to locate. A full program of illustrations, graphs, and examples helps make the operations and general properties of different classification approaches intuitively understandable. Offering a lucid presentation of complex applications and their algorithms, Pattern Classification is an invaluable resource for researchers, engineers, and graduate students in this rapidly developing field.
