Intelligence Science and Big Data Engineering. Image and Video Data Engineering
5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part I
(Sprache: Englisch)
The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015.
The total of 126 papers presented in the...
The total of 126 papers presented in the...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
53.49 €
Produktdetails
Produktinformationen zu „Intelligence Science and Big Data Engineering. Image and Video Data Engineering “
Klappentext zu „Intelligence Science and Big Data Engineering. Image and Video Data Engineering “
The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.
Bibliographische Angaben
- 2015, 1st ed. 2015, XIX, 661 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Xiaofei He, Xinbo Gao, Yanning Zhang, Zhi-Hua Zhou, Zhi-Yong Liu, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang
- Verlag: Springer, Berlin
- ISBN-10: 3319239872
- ISBN-13: 9783319239873
- Erscheinungsdatum: 03.11.2015
Sprache:
Englisch
Kommentar zu "Intelligence Science and Big Data Engineering. Image and Video Data Engineering"
0 Gebrauchte Artikel zu „Intelligence Science and Big Data Engineering. Image and Video Data Engineering“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Intelligence Science and Big Data Engineering. Image and Video Data Engineering".
Kommentar verfassen