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

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.

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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.

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Product details

• Assisted by: Baochuan Fu (Editor), Xinb Gao (Editor), Xinbo Gao (Editor), Xiaofei He (Editor), Fuyuan Hu (Editor), Zhi-Yong Liu (Editor), Yanning Zhang (Editor), Zhancheng Zhang (Editor), Yanning Zhang et al (Editor), Zhi-Hua Zhou (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2015
• EAN: 9783319239873
• ISBN: 978-3-31-923987-3
• No. of pages: 661
• Dimensions: 156 mm x 234 mm x 36 mm
• Weight: 1019 g
• Illustrations: XIX, 661 p. 289 illus.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; C, Data Mining, Artificial Intelligence, computer science, Computer Vision, Image Processing and Computer Vision, Computer Graphics, pattern recognition, Multimedia Information Systems, Data Mining and Knowledge Discovery, Automated Pattern Recognition, Optical data processing, Expert systems / knowledge-based systems, Graphical & digital media applications, Graphics programming