Pattern recognition. An algorithmic approach.
type: Item
instance of: scholarly article
title: Pattern recognition. An algorithmic approach.
zbMATH Open document ID: 1238.68003
DOI: 10.1007/978-0-85729-495-1
author: M. Narasimha Murty
author: V. Susheela Devi
published in: Undergraduate Topics in Computer Science
publication date: 2011-03-16T00:00:00Z
review text: This interesting book provides a concise and simple exposition of principal topics in pattern recognition using an algorithmic approach, and is intended mainly for undergraduate and postgraduate students. The book is divided into 11 chapters, illustrating the following subjects: representation, nearest neighbour based classifiers, Bayes classifier, hidden Markov models, decision trees, support vector machines, combination of classifiers, clustering. An application to handwritten digit recognition is described at the end of the book. Many examples and exercises are proposed to make the treatment clear. A ``further reading'' section and a bibliography are presented at the end of each chapter. The mathematical treatment is mostly at an elementary level.
reviewed by: Patrizio Frosini
Mathematics Subject Classification ID: 68-01
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68P05
Mathematics Subject Classification ID: 68P20
zbMATH DE Number: 5866341
zbMATH Keywords: represention
zbMATH Keywords: classifier
zbMATH Keywords: hidden Markov model
zbMATH Keywords: decision tree
zbMATH Keywords: support vector machine
zbMATH Keywords: clustering
zbMATH Keywords: handwritten digit recognition
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-0-85729-495-1
OpenAlex ID: W4231822114
description: scientific article; zbMATH DE number 5866341