Pattern recognition

This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-d...

Descripción completa

Detalles Bibliográficos
Autor principal: Theodoridis, Sergios, 1951- (-)
Otros Autores: Koutroumbas, Konstantinos, 1967-
Formato: Libro electrónico
Idioma:Inglés
Publicado: Amsterdam ; London : Elsevier/Academic Press c2009.
Edición:4th ed
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628353106719
Descripción
Sumario:This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback. · Thoroughly developed to include many more worked examples to give grea
Notas:Previous ed.: Amsterdam: Academic, 2003.
Descripción Física:1 online resource (981 p.)
Bibliografía:Includes bibliographical references and index.
ISBN:9781282541153
9786612541155
9780080949123