Skip to main content
SpringerLink
Log in
Book cover

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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Zhen Cui

    1. Nanjing University of Science and Technology, Nanjing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Jinshan Pan

    1. Nanjing University of Science and Technology, Nanjing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Shanshan Zhang

    1. Nanjing University of Science and Technology, Nanjing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Liang Xiao

    1. Nanjing University of Science and Technology, Nanjing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Jian Yang

    1. Nanjing University of Science and Technology, Nanjing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11936)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: IScIDE 2019.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (37 papers)

  1. An Advanced Least Squares Twin Multi-class Classification Support Vector Machine for Few-Shot Classification

    • Yu Li, Zhonggeng Liu, Huadong Pan, Jun Yin, Xingming Zhang
    Pages 243-252

  2. LLN-SLAM: A Lightweight Learning Network Semantic SLAM

    • Xichao Qu, Weiqing Li
    Pages 253-265

  3. Meta-cluster Based Consensus Clustering with Local Weighting and Random Walking

    • Nannan He, Dong Huang
    Pages 266-277

  4. Robust Nonnegative Matrix Factorization Based on Cosine Similarity Induced Metric

    • Wen-Sheng Chen, Haitao Chen, Binbin Pan, Bo Chen
    Pages 278-288

  5. Intellectual Property in Colombian Museums: An Application of Machine Learning

    • Jenny Paola Lis-Gutiérrez, Álvaro Zerda Sarmiento, Amelec Viloria
    Pages 289-301

  6. Hybrid Matrix Factorization for Multi-view Clustering

    • Hongbin Yu, Xin Shu
    Pages 302-311

  7. Car Sales Prediction Using Gated Recurrent Units Neural Networks with Reinforcement Learning

    • Bowen Zhu, Huailong Dong, Jing Zhang
    Pages 312-324

  8. A Multilayer Sparse Representation of Dynamic Brain Functional Network Based on Hypergraph Theory for ADHD Classification

    • Yuduo Zhang, Zhichao Lian, Chanying Huang
    Pages 325-334

  9. Stress Wave Tomography of Wood Internal Defects Based on Deep Learning and Contour Constraint Under Sparse Sampling

    • Xiaochen Du, Jiajie Li, Hailin Feng, Heng Hu
    Pages 335-346

  10. Robustness of Network Controllability Against Cascading Failure

    • Lv-lin Hou, Yan-dong Xiao, Liang Lu
    Pages 347-355

  11. Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia

    • Huijie Li, Qi Zhu, Rui Zhang, Daoqiang Zhang
    Pages 356-368

  12. A Joint Bitrate and Buffer Control Scheme for Low-Latency Live Streaming

    • Si Chen, Yuan Zhang, Huan Peng, Jinyao Yan
    Pages 369-380

  13. Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples

    • Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao
    Pages 381-393

  14. Accelerate Black-Box Attack with White-Box Prior Knowledge

    • Jinghui Cai, Boyang Wang, Xiangfeng Wang, Bo Jin
    Pages 394-405

  15. A Dynamic Model + BFR Algorithm for Streaming Data Sorting

    • Yongwei Tan, Ling Huang, Chang-Dong Wang
    Pages 406-417

  16. Smartphone Behavior Based Electronical Scale Validity Assessment Framework

    • Minqiang Yang, Jingsheng Tang, Longzhe Tang, Bin Hu
    Pages 418-429

  17. Discrimination Model of QAR High-Severity Events Using Machine Learning

    • Junchen Li, Haigang Zhang, Jinfeng Yang
    Pages 430-441

  18. A New Method of Improving BERT for Text Classification

    • Shaomin Zheng, Meng Yang
    Pages 442-452

  19. Back Matter

    Pages 453-455
    Download chapter PDF
Back to top

Other volumes

  1. Intelligence Science and Big Data Engineering. Visual Data Engineering

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

Keywords

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.

 


Editors and Affiliations

  • Nanjing University of Science and Technology, Nanjing, China

    Zhen Cui, Jinshan Pan, Shanshan Zhang, Liang Xiao, Jian Yang

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation