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

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

9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part II
Buch | Softcover
XX, 455 Seiten
2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-36203-4 (ISBN)
CHF 74,85 inkl. MwSt

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019.

The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

 


Erscheinungsdatum
Reihe/Serie Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture Notes in Computer Science
Zusatzinfo XX, 455 p. 357 illus., 145 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 724 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Applications • Artificial Intelligence • Computational Linguistics • Computer Networks • Computer Science • computer vision • conference proceedings • Data Mining • face recognition • image coding • Image Processing • image reconstruction • Image Segmentation • Imaging Systems • Informatics • Learning Algorithms • Neural networks • Object detection • Object recognition • Remote Sensing • Research • Semantics • Signal Processing
ISBN-10 3-030-36203-5 / 3030362035
ISBN-13 978-3-030-36203-4 / 9783030362034
Zustand Neuware
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