Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11266)
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 2018.
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Table of contents (59 papers)
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Front Matter
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Robots and Intelligent System
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Front Matter
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Statistics and Learning
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Front Matter
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About this book
Engineering, IScIDE 2018, held in Lanzhou, China, in August 2018.
The 59 full papers presented in this book were carefully reviewed and selected from 121 submissions.
They are grouped in topical sections on robots and intelligent systems; statistics and learning; deep learning; objects and language; classification and clustering; imaging; and biomedical signal processing.
Keywords
- clustering
- clustering algorithms
- face recognition
- image fusion
- image processing
- image reconstruction
- image segmentation
- imaging systems
- learning algorithms
- neural networks
- object detection
- object recognition
- semantics
- semi-supervised learning
- sensor data fusion
- sensor networks
- signal processing
- speech recognition
- Support Vector Machines (SVM)
Editors and Affiliations
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Peking University, Beijing, China
Yuxin Peng
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Shanghai Jiao Tong University, Shanghai, China
Kai Yu
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Tsinghua University, Beijing, China
Jiwen Lu
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Central China Normal University, Wuhan, China
Xingpeng Jiang
Bibliographic Information
Book Title: Intelligence Science and Big Data Engineering
Book Subtitle: 8th International Conference, IScIDE 2018, Lanzhou, China, August 18–19, 2018, Revised Selected Papers
Editors: Yuxin Peng, Kai Yu, Jiwen Lu, Xingpeng Jiang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-02698-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-02697-4Published: 09 November 2018
eBook ISBN: 978-3-030-02698-1Published: 08 November 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 685
Number of Illustrations: 89 b/w illustrations, 204 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Data Mining and Knowledge Discovery