Intelligent Computing Theories and Application

1. Front Matter

   Pages I-XX

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2. Signal Processing and Image Processing

   1. Front Matter

      Pages 1-1

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   2. A Variable Neighborhood Search Approach for the Capacitated m-Ring-Star Problem

      • Carlos Franco, Eduyn López-Santana, Germán Mendez-Giraldo

      Pages 3-11

   3. Convolutional Neural Network Application on Leaf Classification

      • Yan-Hao Wu, Li Shang, Zhi-Kai Huang, Gang Wang, Xiao-Ping Zhang

      Pages 12-17

   4. Detecting Ventricular Fibrillation and Ventricular Tachycardia for Small Samples Based on EMD and Symbol Entropy

      • Yingda Wei, Qingfang Meng, Qiang Zhang, Dong Wang

      Pages 18-27

   5. Coronary Heart Disease Recognition Based on Dynamic Pulse Rate Variability

      • Aihua Zhang, Boxuan Wei, Yongxin Chou

      Pages 28-38

   6. Multi-dictionary Based Collaborative Representation for 3D Biometrics

      • Anqi Yang, Lin Zhang, Lida Li, Hongyu Li

      Pages 39-48

   7. An Adaptive Multi-algorithm Ensemble for Fingerprint Matching

      • Kamlesh Tiwari, Vandana Dixit Kaushik, Phalguni Gupta

      Pages 49-60

   8. Stereo Matching with Improved Radiometric Invariant Matching Cost and Disparity Refinement

      • Jinjin Shi, Fangfa Fu, Yao Wang, Weizhe Xu, Jinxiang Wang

      Pages 61-73

   9. A Real-Time Head Pose Estimation Using Adaptive POSIT Based on Modified Supervised Descent Method

      • Zhong-Qiu Zhao, Kewen Cheng, Qinmu Peng, Xindong Wu

      Pages 74-85

   10. Tempo-Spatial Compactness Based Background Subtraction for Vehicle Detection and Tracking

       • Zubair Iftikhar, Prashan Premaratne, Peter Vial, Shuai Yang

       Pages 86-96

3. Information Security, Knowledge Discovery and Data Mining

   1. Front Matter

      Pages 97-97

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   2. Research on Universal Model of Speech Perceptual Hashing Authentication System in Mobile Environment

      • Qiu-Yu Zhang, Wen-Jin Hu, Yi-Bo Huang, Si-Bin Qiao

      Pages 99-111

   3. SIPSO: Selectively Informed Particle Swarm Optimization Based on Mutual Information to Determine SNP-SNP Interactions

      • Wenxiang Zhang, Junliang Shang, Huiyu Li, Yingxia Sun, Jin-Xing Liu

      Pages 112-121

   4. A Clustering Based Feature Selection Method Using Feature Information Distance for Text Data

      • Shilong Chao, Jie Cai, Sheng Yang, Shulin Wang

      Pages 122-132

   5. Implementation of Microcontroller Arduino in Irrigation System

      • Štefan Koprda, Martin Magdin, Michal Munk

      Pages 133-144

   6. TOPSIS and AHP Model in the Application Research in the Evaluation of Coal

      • Guoying Yang, Qingling Wang, Jianqing Liu

      Pages 145-152

   7. An Improved Context-Aware Recommender Algorithm

      • Huiyu Miao, Bingqing Luo, Zhixin Sun

      Pages 153-162

   8. Effectively Classifying Short Texts via Improved Lexical Category and Semantic Features

      • Huifang Ma, Runan Zhou, Fang Liu, Xiaoyong Lu

      Pages 163-174

   9. Selection of Optimal Cutting Parameters in Parallel Turnings Using Genetic Heuristics

      • Lifang Pan, Shutong Xie, Kunhong Liu, Jiangfu Liao

      Pages 175-182

This two-volume set LNCS 9771 and LNCS 9772 constitutes - in conjunction with the volume LNAI 9773 - the refereed proceedings of the 12th International Conference on Intelligent Computing, ICIC 2016, held in Lanzhou, China, in August 2016.

The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. The papers are organized in topical sections such as signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal processing; pattern recognition; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and optimization; soft computing; protein structure and function prediction; advances in swarm intelligence: algorithms and applications; optimization, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision; knowledge representation and expert system; bioinformatics.

• biological networks
• computer vision
• ensemble methods
• kernel methods
• artificial intelligence
• neural networks
• bioinformatics
• computational biology
• computational genomics
• data mining and clustering
• deep learning
• dimensionality reduction and manifold learning
• feature selection
• molecular sequence analysis
• motif discovery
• reinforcement learning
• semi-supervised learning
• supervised learning
• support vector machines
• unsupervised learning

• Tongji University , Shanghai, China

  De-Shuang Huang

• Polytechnic of Bari , Bari, Italy

  Vitoantonio Bevilacqua

• University of Wollongong , North Wollongong, Australia

  Prashan Premaratne

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