Volume 5. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9780124438651. Bestandsnummer des Verk�ufers 9838147

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Bibliografische Details

Titel: Neural Network Systems Techniques and ...

Verlag: Academic Press

Erscheinungsdatum: 1998

Einband: Hardcover

Zustand: Good

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Inhaltsangabe:

Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech classification, medical imaging, paper currency recognition, classification reliability techniques, and sensor technology. The text emphasizes algorithms and architectures for achieving practical and effective systems, and presents many examples. Practitioners, researchers, and students in computer science, electrical engineering, andradiology, as well as those working at financial institutions, will value this unique and authoritative reference to diverse applications methodologies.

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Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.

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Verwandte Artikel zu Neural Network Systems Techniques and Applications:...

Neural Network Systems Techniques and Applications: Image Processing and Pattern Recognition (Volume 5)

Leondes, C.T. (ed)

Gebraucht - Hardcover

Unternehmensdaten des Verk�ufers