- Afhalen na 1 uur in een winkel met voorraad
- Gratis thuislevering in België vanaf € 30
- Ruim aanbod met 7 miljoen producten
- Afhalen na 1 uur in een winkel met voorraad
- Gratis thuislevering in België vanaf € 30
- Ruim aanbod met 7 miljoen producten
€ 148,45
+ 296 punten
Omschrijving
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 greater understanding of the various methods and techniques
- Many more diagrams included--now in two color--to provide greater insight through visual presentation
- Matlab code of the most common methods are given at the end of each chapter.
- More Matlab code is available, together with an accompanying manual, via this site
- Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms.
- An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary, and solved examples including real-life data sets in imaging, and audio recognition. The companion book will be available separately or at a special packaged price (ISBN: 9780123744869).
- Many more diagrams included--now in two color--to provide greater insight through visual presentation
- Matlab code of the most common methods are given at the end of each chapter.
- More Matlab code is available, together with an accompanying manual, via this site
- Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms.
- An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary, and solved examples including real-life data sets in imaging, and audio recognition. The companion book will be available separately or at a special packaged price (ISBN: 9780123744869).
Specificaties
Betrokkenen
- Auteur(s):
- Uitgeverij:
Inhoud
- Aantal bladzijden:
- 984
- Taal:
- Engels
Eigenschappen
- Productcode (EAN):
- 9781597492720
- Verschijningsdatum:
- 1/09/2008
- Uitvoering:
- Hardcover
- Formaat:
- Genaaid
- Afmetingen:
- 193 mm x 236 mm
- Gewicht:
- 1837 g
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