Ten Lectures on Statistical and Structural Pattern Recognition
Author:   M.I. Schlesinger ,  Václav Hlavác
Publisher:   Springer-Verlag New York Inc.
Edition:   2002 ed.
Volume:   24
ISBN:  

9781402006425


Pages:   522
Publication Date:   31 May 2002
Format:   Hardback
Availability:   Out of stock   Availability explained
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Ten Lectures on Statistical and Structural Pattern Recognition


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Overview

This monograph explores the close relationship of various well-known pattern recognition problems that have so far been considered independent. These relationships became apparent with the discovery of formal procedures for addressing known problems and their generalisations. The generalised problem formulations were analysed mathematically and unified algorithms were found. The main scientific contribution of this book is the unification of two main streams in pattern recognition - statistical and structural. The material is presented in the form of ten lectures, each of which concludes with a discussion with a student.

Full Product Details

Author:   M.I. Schlesinger ,  Václav Hlavác
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2002 ed.
Volume:   24
Dimensions:   Width: 16.00cm , Height: 2.70cm , Length: 24.00cm
Weight:   1.098kg
ISBN:  

9781402006425


ISBN 10:   140200642
Pages:   522
Publication Date:   31 May 2002
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Lecture 1 Bayesian statistical decision making.- Lecture 2 Non-Bayesian statistical decision making.- Lecture 3 Two statistical models of the recognised object.- Lecture 4 Learning in pattern recognition.- Lecture 5 Linear discriminant function.- Lecture 6 Unsupervised learning.- Lecture 7 Mutual relationship of statistical and structural recognition.- Lecture 8 Recognition of Markovian sequences.- Lecture 9 Regular languages and corresponding pattern recognition tasks.- Lecture 10 Context-free languages, their 2-D generalisation, related tasks.

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