Advances in Neural Networks -- ISNN 2011

1. Front Matter

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2. Supervised Learning and Unsupervised Learning

   1. Maximum Variance Sparse Mapping

      • Bo Li, Jin Liu, Wenyong Dong

      Pages 1-8

   2. Contourlet-Based Texture Classification with Product Bernoulli Distributions

      • Yongsheng Dong, Jinwen Ma

      Pages 9-18

   3. Resampling Methods versus Cost Functions for Training an MLP in the Class Imbalance Context

      • R. Alejo, P. Toribio, J. M. Sotoca, R. M. Valdovinos, E. Gasca

      Pages 19-26

   4. Prediction of Urban Stormwater Runoff in Chesapeake Bay Using Neural Networks

      • Nian Zhang

      Pages 27-36

   5. One-Shot Learning of Poisson Distributions in Serial Analysis of Gene Expression

      • Peter Tiňo

      Pages 37-46

   6. Simultaneous Model Selection and Feature Selection via BYY Harmony Learning

      • Hongyan Wang, Jinwen Ma

      Pages 47-56

3. Kernel Methods and Support Vector Machines

   1. The Characteristics Study on LBP Operator in Near Infrared Facial Image

      • Qiang Chen, Weiqing Tong

      Pages 57-65

   2. Fault Diagnosis for Smart Grid with Uncertainty Information Based on Data

      • Qiuye Sun, Zhongxu Li, Jianguo Zhou, Xue Liang

      Pages 66-75

   3. Sparse Kernel Regression for Traffic Flow Forecasting

      • Rongqing Huang, Shiliang Sun, Yan Liu

      Pages 76-84

   4. Rate-Dependent Hysteresis Modeling and Compensation Using Least Squares Support Vector Machines

      • Qingsong Xu, Pak-Kin Wong, Yangmin Li

      Pages 85-93

   5. Nomogram Visualization for Ranking Support Vector Machine

      • Nguyen Thi Thanh Thuy, Nguyen Thi Ngoc Vinh, Ngo Anh Vien

      Pages 94-102

   6. New Multi-class Classification Method Based on the SVDD Model

      • Lei Yang, Wei-Min Ma, Bo Tian

      Pages 103-112

   7. Intelligence Statistical Process Control in Cellular Manufacturing Based on SVM

      • Shaoxiong Wu

      Pages 113-120

   8. Morlet-RBF SVM Model for Medical Images Classification

      • Huiyan Jiang, Xiangying Liu, Lingbo Zhou, Hiroshi Fujita, Xiangrong Zhou

      Pages 121-129

   9. COD Prediction for SBR Batch Processes Based on MKPCA and LSSVM Method

      • XiaoPing Guo, LiPing Fan

      Pages 130-135

4. Mixture Models and Clustering

   1. A Fixed-Point EM Algorithm for Straight Line Detection

      • Chonglun Fang, Jinwen Ma

      Pages 136-143

   2. A Novel Classifier Ensemble Method Based on Class Weightening in Huge Dataset

      • Hamid Parvin, Behrouz Minaei, Hosein Alizadeh, Akram Beigi

      Pages 144-150

   3. Network-Scale Traffic Modeling and Forecasting with Graphical Lasso

      • Ya Gao, Shiliang Sun, Dongyu Shi

      Pages 151-158

   4. Learning Curve Model for Torpedo Based on Neural Network

      • Min-quan Zhao, Qing-wei Liang, Shanshan Jiang, Ping Chen

      Pages 159-164

The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011. The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.

• computer vision
• image enhancement
• multi-class classification
• multi-objective optimization
• semantic Web
• algorithm analysis and problem complexity

• Institute of Automation, Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy of Sciences, Beijing, China

  Derong Liu

• College of Information Science and Engineering, Northeastern University, Shenyang, Liaoing, China

  Huaguang Zhang

• Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus

  Marios Polycarpou

• Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy

  Cesare Alippi

• Deptartment of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, USA

  Haibo He

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