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Intelligent Computing Methodologies

10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014, Proceedings

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. De-Shuang Huang

    1. School of Electronics and Information Engineering, Tongji University, Shanghai, China

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  2. Kang-Hyun Jo

    1. School of Electrical Engineering, University of Ulsan, Ulsan, Korea

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    You can also search for this editor in PubMed   Google Scholar

  3. Ling Wang

    1. Department of Automation, Tsinghua University, Bejing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8589)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICIC 2014.

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Table of contents (85 papers)

  1. Front Matter

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  2. Soft Computing

    1. Affective Tutoring System for Android Mobiles

      • Ramón Zatarain-Cabada, M. L. Barrón-Estrada, José Luis Olivares Camacho, Carlos A. Reyes-García
      Pages 1-10

    2. Solving Three-Objective Flow Shop Problem with Fast Hypervolume-Based Local Search Algorithm

      • Rong-Qiang Zeng, Ming-Sheng Shang
      Pages 11-25

  3. Artificial Bee Colony Algorithms

    1. A Learning Automata-Based Singular Value Decomposition and Its Application in Recommendation System

      • Yuchun Jing, Wen Jiang, Guiyang Su, Zhisheng Zhou, Yifan Wang
      Pages 26-32

    2. A Novel 2-Stage Combining Classifier Model with Stacking and Genetic Algorithm Based Feature Selection

      • Tien Thanh Nguyen, Alan Wee-Chung Liew, Xuan Cuong Pham, Mai Phuong Nguyen
      Pages 33-43

    3. Improved Bayesian Network Structure Learning with Node Ordering via K2 Algorithm

      • Zhongqiang Wei, Hongzhe Xu, Wen Li, Xiaolin Gui, Xiaozhou Wu
      Pages 44-55

    4. Combining Multi Classifiers Based on a Genetic Algorithm – A Gaussian Mixture Model Framework

      • Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Mai Phuong Nguyen
      Pages 56-67

  4. Unsupervised Learning

    1. A Precise Hard-Cut EM Algorithm for Mixtures of Gaussian Processes

      • Ziyi Chen, Jinwen Ma, Yatong Zhou
      Pages 68-75

    2. Comparison of EM-Based Algorithms and Image Segmentation Evaluation

      • Mei Niu, Qinpei Zhao, Hongyu Li
      Pages 76-86

    3. Artificial Curiosity Driven Robots with Spatiotemporal Regularity Discovery Ability

      • Davood Kalhor, Chu Kiong Loo
      Pages 87-98

  5. Kernel Methods and Supporting Vector Machines

    1. The Equivalence Relationship between Kernel Functions Based on SVM and Four-Layer Functional Networks

      • Yongquan Zhou, Qifang Luo, Mingzhi Ma, Liangliang Li
      Pages 99-106

    2. Multiple Kernel Learning Based on Cooperative Clustering

      • Haiyang Du, Chuanhuan Yin, Shaomin Mu
      Pages 107-117

  6. Machine Learning

    1. Automatic Non-negative Matrix Factorization Clustering with Competitive Sparseness Constraints

      • Chenglin Liu, Jinwen Ma
      Pages 118-125

    2. Fusing Decision Trees Based on Genetic Programming for Classification of Microarray Datasets

      • KunHong Liu, MuChenxuan Tong, ShuTong Xie, ZhiHao Zeng
      Pages 126-134

    3. A Study of Data Classification and Selection Techniques for Medical Decision Support Systems

      • Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir J. Hussain, David Lamb, Mohammed Al-Jumaily, Khaled Abdel-Aziz
      Pages 135-143

    4. A Reduction SVM Classification Algorithm Based on Adaptive AP Clustering Granulation

      • Xiuxi Wei
      Pages 144-153

    5. Learning Automata Based Cooperative Student-Team in Tutorial-Like System

      • Yifan Wang, Wen Jiang, Yinghua Ma, Hao Ge, Yuchun Jing
      Pages 154-161

    6. Clustering-Based Latent Variable Models for Monocular Non-rigid 3D Shape Recovery

      • Quan Wang, Fei Wang, Daming Li, Xuan Wang
      Pages 162-172

    7. Comments-Attached Chinese Microblog Sentiment Classification Based on Machine Learning Technology

      • Bo Yan, Bin Zhang, Hongyi Su, Hong Zheng
      Pages 173-184

    8. Evaluation of Resonance in Staff Selection through Multimedia Contents

      • Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Dario D’Ambruoso, Marco Suma, Donato Barone et al.
      Pages 185-198
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Other volumes

  1. Intelligent Computing Theory

  2. Intelligent Computing Methodologies

  3. Intelligent Computing in Bioinformatics

Keywords

About this book

This book – in conjunction with the volumes LNCS 8588 and LNBI 8590 – constitutes the refereed proceedings of the 10th International Conference on Intelligent Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The 85 papers of this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections such as soft computing; artificial bee colony algorithms; unsupervised learning; kernel methods and supporting vector machines; machine learning; fuzzy theory and algorithms; image processing; intelligent computing in computer vision; intelligent computing in communication networks; intelligent image/document retrievals; intelligent data analysis and prediction; intelligent agent and Web applications; intelligent fault diagnosis; knowledge representation/reasoning; knowledge discovery and data mining; natural language processing and computational linguistics; next gen sequencing and metagenomics; intelligent computing in scheduling and engineering optimization; advanced modeling, control and optimization techniques for complex engineering systems; complex networks and their applications; time series forecasting and analysis using artificial neural networks; computer human interaction using multiple visual cues and intelligent computing; biometric system and security for intelligent computing.

Editors and Affiliations

  • School of Electronics and Information Engineering, Tongji University, Shanghai, China

    De-Shuang Huang

  • School of Electrical Engineering, University of Ulsan, Ulsan, Korea

    Kang-Hyun Jo

  • Department of Automation, Tsinghua University, Bejing, China

    Ling Wang

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