Introduction to Pattern Recognition

Introduction to Pattern Recognition

Statistical, Structural, Neural, and Fuzzy Logic Approaches

by Abraham Kandel, Menahem Friedman

329 pages· 1999· ISBN 9789810233129
Join Readfeed freeFind clubs reading this bookBrowse readable books
About
This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail. The only prerequisites for using this book are a one-semester course in discrete mathematics and a knowledge of the basic preliminaries of calculus, linear algebra and probability theory.

Discuss Introduction to Pattern Recognition with other readers

Join or start a book club for Introduction to Pattern Recognition on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.

Sign up freeBrowse book clubs

Frequently asked questions

How do I join a book club for Introduction to Pattern Recognition?

Sign up free on Readfeed, then browse public clubs or start your own club with Introduction to Pattern Recognition as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.

Can I discuss Introduction to Pattern Recognition with other readers online?

Yes. Readfeed book clubs let you chat live, share progress, and join discussions about Introduction to Pattern Recognition with readers worldwide — whether your club is virtual, in-person, or hybrid.

Is Readfeed free?

Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.