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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.

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    • Title: Pattern Recognition by Theodoridis, Sergios; Theodoridis, Sergios; Koutroumbas, Konstantinos; Koutroumbas, Konstantinos
    • Publisher: Elsevier S & T
    • Print ISBN: 9780126858754, 0126858756
    • eText ISBN: 9780080513621
    • Edition: 2003 2nd edition
    • Format: PDF eBook
    $79.95
    digital devices
    • This is a digital eBook
      Nothing will be shipped to you
    • Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices
    • Most eBooks are returnable within 14 days of purchase
    • Questions? See our eBook FAQ