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9783639366990 - Human Face Recognition with Support Vector Machines: Algorithms and Applications by Parthiban, Latha (12 results)
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Human Face Recognition with Support Vector Machines
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639366999 ISBN 13: 9783639366990
Condition: New.
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Human Face Recognition with Support Vector Machines (Paperback or Softback)
Language: English
Published by VDM Verlag 7/21/2011, 2011
ISBN 10: 3639366999 ISBN 13: 9783639366990
Paperback or Softback. Condition: New. Human Face Recognition with Support Vector Machines. Book.
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Human Face Recognition with Support Vector Machines
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639366999 ISBN 13: 9783639366990
Condition: As New. Unread book in perfect condition.
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Human Face Recognition with Support Vector Machines: Algorithms and Applications
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639366999 ISBN 13: 9783639366990
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 39.43
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Human Face Recognition with Support Vector Machines
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639366999 ISBN 13: 9783639366990
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Human Face Recognition with Support Vector Machines
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639366999 ISBN 13: 9783639366990
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Human Face Recognition with Support Vector Machines | Algorithms and Applications
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639366999 ISBN 13: 9783639366990
Taschenbuch. Condition: Neu. Human Face Recognition with Support Vector Machines | Algorithms and Applications | Latha Parthiban | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2011 | VDM Verlag Dr. Müller | EAN 9783639366990 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Human Face Recognition with Support Vector Machines Algorithms and Applications
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639366999 ISBN 13: 9783639366990
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Human Face Recognition with Support Vector Machines Algorithms and Applications
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639366999 ISBN 13: 9783639366990
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 40.85
£ 3.29 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Human Face Recognition with Support Vector Machines
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639366999 ISBN 13: 9783639366990
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Parthiban LathaLatha Parthiban is working as Professor in Department of Computer Science and Engineering at SSN College of Engineering,India. She earned her B.E from Madras University, M.E from Anna University and PhD from Pondicherr.
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Human Face Recognition with Support Vector Machines : Algorithms and Applications
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639366999 ISBN 13: 9783639366990
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The computer vision problem of face recognition has over the years become a common high-requirement benchmark for machine learning methods. In the last decade, highly efficient face recognition systems have been developed that extensively use the nature of the image domain to achieve accurate real-time performance. The effectiveness of such systems are possible only with the progress of machine learning algorithms. Support vector machine learning is a relatively recent method that offers a good generalization performance in classification problems like face recognition. An algorithm based on Gabor texture information with SVM classifier is demonstrated in this book.The estimated model parameters serve as texture representation and experiments were performed on Yale,ORL and FERET databases to validate the feasibility of the method. The results showed that both Gabor magnitude and Gabor phase based texture representation technique with SVM classifier significantly outperformed the widely used Gabor energy based systems and other existing subspace methods. In addition, the feature level fusion of these two kinds of texture representations performs better than when used individually.
