Book Description

The only book to combine coverage of classical topics with the most recent methods just developed, making it a complete resource on using all the techniques in pattern recognition today.

Product Description

This book considers classical and current theory and practice, of both supervised and unsupervised 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.

This edition includes many more worked examples and diagrams (in two colour) to help give greater understanding of the methods and their application. Computer-based problems will be included with MATLAB code. An accompanying book contains extra worked examples and MATLAB code of all the examples used in this book.

# Thoroughly developed to include many more worked examples to give greater understanding of this mathematically oriented subject

# Many more diagrams included--now in two color--to provide greater insight through visual presentation

# An accompanying manual includes Matlab code of the methods and algorithms in the book, together with solved problems and real-life data sets in medical imaging, remote sensing and audio recognition. The Manual is available separately or at a special packaged price (ISBN: 9780123744869).

# Latest hot topics included to further the reference value of the text including semi-supervised learning, combining clustering algorithms, and relevance feedback.