Theodoridis and Koutroumbas
Academic Press
Hardback
984
39778
This book considers classical and current theory and practice of both supervised and 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.
Academic Press
Hardback
984
39778
This book considers classical and current theory and practice of both supervised and 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.