9788173717253 - pattern recognition: an introduction de narasimha murty et al (2 resultados)
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 14,17
Envío por EUR 7,54Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. pp. 352 Illus.
- Tapa blanda
Librería: Vedams eBooks (P) Ltd, New Delhi, IndiaVedams eBooks (P) Ltd
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 12,63
Envío por EUR 17,50Se envía de India a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Soft cover. Condición: New. Contents 1 Introduction 2 Representation 3 Nearest Neighbour Based Classifiers 4 Bayes Classifier 5 Hidden Markov Models 6 Decision Trees 7 Support Vector Machines 8 Combination of Classifiers 9 Clustering 10 Summary 11 An Application Handwritten Digit Recognition Discussion Further Reading Bibliograp…hyObserving the environment and recognising patterns for the purpose of decision making is fundamental to human nature This book deals with the scientific discipline that enables similar perception in machines through pattern recognition which has application in diverse technology areas character recognition image processing industrial automation internet searches speech recognition medical diagnostics target recognition space science remote sensing data mining biometric identification to name a few This book is an exposition of principal topics in pattern recognition using an algorithmic approach It provides a thorough introduction to the concepts of pattern recognition and a systematic account of the major topics in pattern recognition besides reviewing the vast progress made in the field in recent times It includes basic techniques of pattern recognition neural networks support vector machines and decision trees While theoretical aspects have been given due coverage the emphasis is more on the practical The book is replete with examples and illustrations and includes chapter-end exercises 352 pp.
