Pattern recognition

By:

Theodoridis, Sergios [Author]

Contributor(s):

Koutroumbas, Konstantinos [Author]

Material type: Text

TextPublication details: Elsevier, 2008. New Delhi : Edition: 4th edDescription: xvii, 961pISBN:

9789380931623

Subject(s):

Pattern recognition systems

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.

Tags from this library:

clustering (1)

Average rating: 5.0 (1 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Books	IIITD General Stacks	Computer Science and Engineering	006.4 THE-P (Browse shelf(Opens below))	Available		002271
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)

Previous								Next
Previous	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 LI-H Handbook of face recognition	Next

License restrictions may limit access.

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.

Scholarly & Professional Elsevier Science & Technology Books

There are no comments on this title.

to post a comment.