9786203027341 - dual shot face detecting using deep learning di dara, suresh; ansari, nishath; madhu babu, ch. (4 risultati)
- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Deep Learning techniques are a very effective tool in face detection. In this book, deep learning techniques have been used to identify dual faces nothing but by detecting dual shot faces. As the data is emerging day by day with hi…gh dimensionality, recognizing dual faces is a major problem. So wasting time on identifying images is like fiddling around. In order to save time and get absolute accuracy, we have implemented a fast preprocessing technique known as convolution neural network along with feature extraction which is used to know relevant features to detect faces/images. By performing this robust method, our intention is to detect dual images in an efficient way. The experiment is performed on extensive good face detecting benchmark datasets like FDDB (Face detection dataset and benchmark), wider face datasets. CNN with FE demonstrates the results with superiority and the accuracy was in-depth analyzed by CNN classifier. 68 pp. Englisch.
- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 34,25
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dara SureshSuresh Dara currently working as a Professor in the Department of CSE, B V Raju Institute of Technology, Narsapur, India. He has completed his Ph.D. from IIT(ISM) Dhanbad, India in 2015. He…has good research publications i.
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Deep Learning techniques are a very effective tool in face detection. In this book, deep learning techniques have been used to identify dual faces nothing but by detecting dual shot faces. As the data is emerging day by day with high d…imensionality, recognizing dual faces is a major problem. So wasting time on identifying images is like fiddling around. In order to save time and get absolute accuracy, we have implemented a fast preprocessing technique known as convolution neural network along with feature extraction which is used to know relevant features to detect faces/images. By performing this robust method, our intention is to detect dual images in an efficient way. The experiment is performed on extensive good face detecting benchmark datasets like FDDB (Face detection dataset and benchmark), wider face datasets. CNN with FE demonstrates the results with superiority and the accuracy was in-depth analyzed by CNN classifier.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,89
EUR 60,60 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep Learning techniques are a very effective tool in face detection. In this book, deep learning techniques have been used to identify dual faces nothing but by detecting dual shot faces. As the data is emerging day by day with high di…mensionality, recognizing dual faces is a major problem. So wasting time on identifying images is like fiddling around. In order to save time and get absolute accuracy, we have implemented a fast preprocessing technique known as convolution neural network along with feature extraction which is used to know relevant features to detect faces/images. By performing this robust method, our intention is to detect dual images in an efficient way. The experiment is performed on extensive good face detecting benchmark datasets like FDDB (Face detection dataset and benchmark), wider face datasets. CNN with FE demonstrates the results with superiority and the accuracy was in-depth analyzed by CNN classifier.
