Ebook Pattern Recognition and Classification: An Introduction
Ebook Pattern Recognition and Classification: An Introduction
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Pattern Recognition and Classification: An Introduction
Ebook Pattern Recognition and Classification: An Introduction
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Review
From the reviews:“The book is a concise introduction to the concepts of pattern recognition and classification. … this book is accessible to mathematicians, computer scientists or biomedical engineers. The material of the book is presented in a very simple and accessible way. The author gives many examples presenting the notations and problems which are considered, so it makes the learning easier. … chapters end up with exercises, which help to consolidate the gained knowledge.†(Krzystof Gdawiec, Zentralblatt MATH, Vol. 1263, 2013)
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From the Back Cover
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 estimating classifier performance and combining classifiers, and details of particular project applications are addressed in the later chapters. This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.
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Product details
Hardcover: 196 pages
Publisher: Springer; 2013 edition (October 29, 2012)
Language: English
ISBN-10: 1461453224
ISBN-13: 978-1461453222
Product Dimensions:
6.3 x 0.7 x 9.2 inches
Shipping Weight: 1 pounds (View shipping rates and policies)
Average Customer Review:
3.3 out of 5 stars
3 customer reviews
Amazon Best Sellers Rank:
#2,461,072 in Books (See Top 100 in Books)
Very expensive and not a good book. Not worth more than $90 at all. The worse a book, the more expensive it is. I have already returned it.
Pattern recognition has more than its fair share of weighty tomes, most of which are unintelligible to most of us after about chapter 3! This book is exactly what the field needs - a clear introduction, accessible to a variety of audiences, and applicable to a variety of classification problems. It is very well organized and builds the key concepts steadily, using excellent, clear illustrations and useful, practical examples. The author builds up the reader's confidence by using general ideas in linear algebra and statistics, rather than overwhelming him/her with mathematical detail, so that learning becomes almost painless. Clearly this approach has been honed by teaching the material for many years.
Suddenly the field of pattern recognition has become accessible to all. Clear and insightful writing, amazing diagrams (most in color) and incisive worked examples. This is a tour de force in a slim volume. Great for self study, and would make an excellent class text too.
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