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Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques : 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II / / edited by Xiaofei He, Xinbo Gao, Yanning Zhang, Zhi-Hua Zhou, Zhi-Yong Liu, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang



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Titolo: Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques : 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II / / edited by Xiaofei He, Xinbo Gao, Yanning Zhang, Zhi-Hua Zhou, Zhi-Yong Liu, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (XIX, 627 p. 205 illus. in color.)
Disciplina: 006.3
Soggetto topico: Optical data processing
Pattern recognition
Computer graphics
Artificial intelligence
Multimedia information systems
Data mining
Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence
Multimedia Information Systems
Data Mining and Knowledge Discovery
Persona (resp. second.): HeXiaofei
GaoXinbo
ZhangYanning
ZhouZhi-Hua
LiuZhi-Yong
FuBaochuan
HuFuyuan
ZhangZhancheng
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: 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.
Titolo autorizzato: Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques  Visualizza cluster
ISBN: 3-319-23862-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484499903321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 9243