Intelligent Computing Methodologies

1. Biomedical Informatics and Image Processing

   1. Pavement Transverse Profile Roughness via Weakly Calibrated Laser Triangulation

      • Yingkui Du, Panli He, Nan Wang, Xiaowei Han, Zhonghu Yuan

      Pages 180-191

   2. A Computer Vision and Control Algorithm to Follow a Human Target in a Generic Environment Using a Drone

      • Vitoantonio Bevilacqua, Antonio Di Maio

      Pages 192-202

2. Machine Learning

   1. Front Matter

      Pages 203-203

      PDF

   2. Multikernel Recursive Least-Squares Temporal Difference Learning

      • Chunyuan Zhang, Qingxin Zhu, Xinzheng Niu

      Pages 205-217

   3. Hyperspectral Image Classification with Polynomial Laplacian Embedding

      • Peng Zhang, Chunbo Fan, Haixia He, He Huang

      Pages 218-228

   4. Improving Deep Learning Accuracy with Noisy Autoencoders Embedded Perturbative Layers

      • Lin Xia, Xiaolong Zhang, Bo Li

      Pages 229-238

   5. Two Approaches on Accelerating Bayesian Two Action Learning Automata

      • Hao Ge, Haiyu Huang, Yulin Li, Shenghong Li, Jianhua Li

      Pages 239-247

   6. Adaptive Bi-objective Genetic Programming for Data-Driven System Modeling

      • Vitoantonio Bevilacqua, Nicola Nuzzolese, Ernesto Mininno, Giovanni Iacca

      Pages 248-259

   7. Gaussian Iteration: A Novel Way to Collaborative Filtering

      • Xiaochun Li, Fangqi Li, Ying Guo, Jinchao Huang

      Pages 260-270

   8. A Novel Image Segmentation Approach Based on Truncated Infinite Student’s t-mixture Model

      • Lu Li, Wentao Fan, JiXiang Du, Jing Wang

      Pages 271-281

   9. Stock Price Prediction Through the Mixture of Gaussian Processes via the Precise Hard-cut EM Algorithm

      • Shuanglong Liu, Jinwen Ma

      Pages 282-293

   10. A DAEM Algorithm for Mixtures of Gaussian Process Functional Regressions

       • Di Wu, Jinwen Ma

       Pages 294-303

   11. Simulation Analysis of the Availability of Cloud Computing Data Center

       • Fangfang Geng, Chang-ai Chen

       Pages 304-312

   12. Data Scheduling for Asynchronous Mini-batch Training on the Data of Sparsity

       • Xiao Fang, Dongbo Dai, Huiran Zhang

       Pages 313-325

3. Knowledge Discovery and Natural Language Processing

   1. Front Matter

      Pages 327-327

      PDF

   2. The Improved Clustering Algorithm for Mining User’s Preferred Browsing Paths

      • Xiaojing Li, Yanzhen Cheng

      Pages 329-337

   3. A Novel Graph Partitioning Criterion Based Short Text Clustering Method

      • XiaoHong Li, TingNian He, HongYan Ran, XiaoYong Lu

      Pages 338-348

   4. A Novel Clustering Algorithm for Large-Scale Graph Processing

      • Zhaoyang Qu, Wei Ding, Nan Qu, Jia Yan, Ling Wang

      Pages 349-358

   5. An Alarm Correlation Algorithm Based on Similarity Distance and Deep Network

      • Boxu Zhao, Guiming Luo

      Pages 359-368

   6. Synonym-Based Reordering Model for Statistical Machine Translation

      • Zhenxin Yang, Miao Li, Lei Chen, Kai Sun

      Pages 369-378

This book - in conjunction with the double volume set LNCS 9771 and LNCS 9772 - constitutes 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.

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

• Tongji University , Shanghai, China

  De-Shuang Huang

• Inha University , Incheon, Korea (Republic of)

  Kyungsook Han

• Liverpool John Moores University , Liverpool, United Kingdom

  Abir Hussain

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