Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11935)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): IScIDE: International Conference on Intelligent Science and Big Data Engineering
Conference proceedings info: IScIDE 2019.
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Table of contents (47 papers)
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Front Matter
Other Volumes
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Intelligence Science and Big Data Engineering. Visual Data Engineering
About this book
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.
Keywords
- artificial intelligence
- computational linguistics
- computer networks
- computer vision
- data mining
- face recognition
- image coding
- image processing
- image reconstruction
- image segmentation
- imaging systems
- learning algorithms
- neural networks
- object detection
- object recognition
- remote sensing
- semantics
- signal processing
Editors and Affiliations
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Nanjing University of Science and Technology, Nanjing, China
Zhen Cui, Jinshan Pan, Shanshan Zhang, Liang Xiao, Jian Yang
Bibliographic Information
Book Title: Intelligence Science and Big Data Engineering. Visual Data Engineering
Book Subtitle: 9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part I
Editors: Zhen Cui, Jinshan Pan, Shanshan Zhang, Liang Xiao, Jian Yang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-36189-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-36188-4Published: 29 November 2019
eBook ISBN: 978-3-030-36189-1Published: 28 November 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIX, 577
Number of Illustrations: 139 b/w illustrations, 230 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Data Mining and Knowledge Discovery, Models and Principles