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Pattern recognition

By: Contributor(s): Material type: TextTextPublication details: Elsevier, 2008. New Delhi : Edition: 4th edDescription: xvii, 961pISBN:
  • 9789380931623
Subject(s): DDC classification:
  • 006.4 21 THE-P
LOC classification:
  • TK7882.P3
ScienceDirect Engineering eBook Collection 2010Summary: Annotation "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 have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition including semi-supervised learning, non-linear dimensionality reduction techniques and spectral clustering."--BOOK JACKET.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Books Books IIITD General Stacks Computer Science and Engineering 006.4 THE-P (Browse shelf(Opens below)) Available 002271
Books Books IIITD Reference Computer Science and Engineering REF 006.4 THE-P (Browse shelf(Opens below)) Available 000951
Total holds: 0
Browsing IIITD shelves, Shelving location: Reference, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)
REF 006.4 RAT-A Advances in biometrics : REF 006.4 RAT-I Iris biometrics : REF 006.4 ROS-H Handbook of multibiometrics REF 006.4 THE-P Pattern recognition REF 006.4 TOE-G Guide to medical image analysis : REF 006.4 WAY-B Biometric systems : REF 006.42 LIS-H Handbook of face recognition

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Annotation "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 have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition including semi-supervised learning, non-linear dimensionality reduction techniques and spectral clustering."--BOOK JACKET.

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