Introduction to Pattern Recognition: A Matlab Approach

Download * Introduction to Pattern Recognition: A Matlab Approach PDF by ^ Sergios Theodoridis, Aggelos Pikrakis, Konstantinos Koutroumbas, Dionisis Cavouras eBook or Kindle ePUB Online free. Introduction to Pattern Recognition: A Matlab Approach Good resource according to Abel Brown. I have the same problem with this book that I have with the main text - everything feels so rushed. Its a very good resource though. Im glad I bought it. This text with real examples is a must if youve bought the main pattern recognition text by Theo.. Abdoulreza Ghotbi said very practical and easy-to-use book. I have read the first chapter so far, however i have found that the book is so practical. I have passed machine learning in the school and i ca

Introduction to Pattern Recognition: A Matlab Approach

Author :
Rating : 4.87 (772 Votes)
Asin : 0123744865
Format Type : paperback
Number of Pages : 231 Pages
Publish Date : 2014-06-28
Language : English

DESCRIPTION:

*Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition 4e.*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). An accompanying manual to Theodoridis/Koutroumbas, Pattern Recognition, that 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

He is the co-author of the bestselling book, Pattern Recognition, and the co-author of Introduction to Pattern Recognition: A MATLAB Approach. He serves as Editor-in-Chief for the IEEE Transactions on Signal Processing, and he is the co-Editor in Chief with Rama Chellapa for the Academic Press Library in Signal Processing. Since 2001 he has been with the Institute for Space Applications and Remote Sensing of the Natio

"Good resource" according to Abel Brown. I have the same problem with this book that I have with the main text - everything feels so rushed. It's a very good resource though. I'm glad I bought it. This text with real examples is a must if you've bought the main pattern recognition text by Theo.. Abdoulreza Ghotbi said very practical and easy-to-use book. I have read the first chapter so far, however i have found that the book is so practical. I have passed machine learning in the school and i can say that this book a good snapshot of that subject. The most important thing is that the book includes lots of matlab codes which really help the readers understand the concept of the application of different classifiers in a practical way by solving vary applicable examples throughout the boo. "Good resource, not a standalone product" according to jlb. This book was designed as an accompaniment to Pattern Recognition, Fourth Edition with additional intuitive descriptions of selected algorithms and Matlab-based problems with solutions.This book is not a replacement for any pattern recognition book, because it lacks any real technical depth, but in conjunction with a complete text (I personally like this book's companion, also by Theodoridis) the content of this book can be put to good

He is a Fellow of EURASIP and a Fellow of IEEE.Aggelos Pikrakis is a Lecturer in the Department of Informatics at the University of Piraeus. degree from the University of Athens in 1995. . He serves as Editor-in-Chief for the IEEE Transactions on Signal Processing, and he is the co-Editor in Chief with Rama Chellapa for the Academic Press Library in Signal Processing. His research interests stem from the fields of pattern recognition, audio and image processing, and music information retrieval. Since 2001 he has been with the Institute for Space Applications and Remote Sensing of the National Observatory of Athens. About the Author Sergios Theodoridis is Professor of Signal Processing and Machine Learning in the Department o

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