Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques

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.

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques features in the following genres: Computer vision, Pattern recognition, Graphics programming, Artificial intelligence, Graphical and digital media applications, Data mining, Expert systems / knowledge-based systems

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques was written by Xiaofei He and published by Springer International Publishing AG

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques has 627 pages

Yes it is part of Image Processing, Computer Vision, Pattern Recognition, and Graphics series

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