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Advances in Brain Inspired Cognitive Systems : 10th International Conference, BICS 2019, Guangzhou, China, July 13-14, 2019, Proceedings / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 11691
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 11691
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer vision.
- Computer networks.
- Pattern recognition systems.
- Application software.
- Artificial Intelligence.
- Computer Vision.
- Computer Communication Networks.
- Automated Pattern Recognition.
- Computer and Information Systems Applications.
- Local Subjects:
- Artificial Intelligence.
- Computer Vision.
- Computer Communication Networks.
- Automated Pattern Recognition.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (XVI, 595 pages) : 340 illustrations, 176 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 10th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2019, held in Guangzhou, China, in July 2019. The 57 papers presented in this volume were carefully reviewed and selected from 129 submissions. The papers are organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; and data analysis and natural language processing.
- Contents:
- Neural Computation
- Biologically Inspired Systems
- Image Recognition: Detection, Tracking and Classification
- Data Analysis and Natural Language Processing.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-39431-8
- 9783030394318
- Access Restriction:
- Restricted for use by site license.
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