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 / [electronic resource] :
edited by Zhen Cui, Jinshan Pan, Shanshan Zhang, Liang Xiao, Jian Yang.
- 1st ed. 2019.
- XX, 455 p. 357 illus., 145 illus. in color. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11936 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11936 .
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. .
9783030362041
10.1007/978-3-030-36204-1 doi
Computer vision.
Artificial intelligence.
Data mining.
Computer science.
Computer Vision.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Models of Computation.
TA1634
006.37
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. .
9783030362041
10.1007/978-3-030-36204-1 doi
Computer vision.
Artificial intelligence.
Data mining.
Computer science.
Computer Vision.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Models of Computation.
TA1634
006.37