Verlag: Elsevier Science & Technology, 2010
ISBN 10: 0123744865 ISBN 13: 9780123744869
Sprache: Englisch
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Verlag: Elsevier Science & Technology, 2010
ISBN 10: 0123744865 ISBN 13: 9780123744869
Sprache: Englisch
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Verlag: Elsevier Science & Technology, 2010
ISBN 10: 0123744865 ISBN 13: 9780123744869
Sprache: Englisch
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Verlag: Academic Press, 2010
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Verlag: Elsevier Science Publishing Co Inc, 2010
ISBN 10: 0123744865 ISBN 13: 9780123744869
Sprache: Englisch
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Verlag: Academic Press 2010-03-17, 2010
ISBN 10: 0123744865 ISBN 13: 9780123744869
Sprache: Englisch
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Buch. Zustand: Neu. Introduction to Pattern Recognition | A Matlab Approach | Sergios Theodoridis (u. a.) | Buch | Einband - flex.(Paperback) | Englisch | 2010 | Academic Press | EAN 9780123744869 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
EUR 37,77
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: new. Questo è un articolo print on demand.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 36,88
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 231 pages. 9.10x7.40x0.60 inches. In Stock. This item is printed on demand.
Verlag: Elsevier Science Publishing Co Inc, 2010
ISBN 10: 0123744865 ISBN 13: 9780123744869
Sprache: Englisch
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 55,99
Anzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 451.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision.