Akram Garad (6 results)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 62.14
£ 10.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 29.47
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Taschenbuch. Condition: Neu. Feature-Average Based Face Recognition Using Neural Networks | Akram A. Garad | Taschenbuch | 84 S. | Englisch | 2017 | Noor Publishing | EAN 9783330844391 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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£ 31.78
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book attempts to provide an automatic face recognition system based on the important facial features from multi-expression sequence face images. The designed system is based on feature-average based using back propagation neura…l networks. The system has separated into three major phases, feature extraction, averaging (approximation), and face recognition. The feature extraction phase has been implemented on assumption the location of the essential features of the face. The average phase has been implemented to reduce the diemensions of the features vectors by taking the average of the features from the multi expression faces. Finally tHe face recognition classification has been applied using back propagation neural networks. . 84 pp. Englisch.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 34.03
£ 26.21 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book attempts to provide an automatic face recognition system based on the important facial features from multi-expression sequence face images. The designed system is based on feature-average based using back propagation neural net…works. The system has separated into three major phases, feature extraction, averaging (approximation), and face recognition. The feature extraction phase has been implemented on assumption the location of the essential features of the face. The average phase has been implemented to reduce the diemensions of the features vectors by taking the average of the features from the multi expression faces. Finally tHe face recognition classification has been applied using back propagation neural networks. .
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 27.68
£ 42.09 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: A. Garad AkramMr. Garad has a Msc. in Electronics and Telecommunication Engineering, from NEU- Nicosia. He is a lecturer in Engineering Department in Palestine Technical college, Palestine. He has many…contributions in artificial int.
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 31.78
£ 51.56 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book attempts to provide an automatic face recognition system based on the important facial features from multi-expression sequence face images. The designed system is based on feature-average based using back propagation neural ne…tworks. The system has separated into three major phases, feature extraction, averaging (approximation), and face recognition. The feature extraction phase has been implemented on assumption the location of the essential features of the face. The average phase has been implemented to reduce the diemensions of the features vectors by taking the average of the features from the multi expression faces. Finally tHe face recognition classification has been applied using back propagation neural networks. .Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch.
