Neural Information Processing

1. Signal and Image Processing

   1. Online Detection of Concept Drift in Visual Tracking

      • Yichen Liu, Yue Zhou

      Pages 159-166

   2. Temporally Regularized Filters for Common Spatial Patterns by Preserving Locally Linear Structure of EEG Trials

      • Minmin Cheng, Haixian Wang, Zuhong Lu, Deji Lu

      Pages 167-174

   3. Interactive Color Correction of Display by Dichromatic User

      • Hiroki Takagi, Hiroaki Kudo, Tetsuya Matsumoto, Yoshinori Takeuchi, Noboru Ohnishi

      Pages 175-182

   4. A Neural Ensemble Approach for Segmentation and Classification of Road Images

      • Tejy Kinattukara, Brijesh Verma

      Pages 183-193

   5. Using Biologically-Inspired Visual Features To Model The Restorative Potential Of Scenes

      • James Mountstephens

      Pages 194-201

   6. Classification of Stroke Patients’ Motor Imagery EEG with Autoencoders in BCI-FES Rehabilitation Training System

      • Mushangshu Chen, Ye Liu, Liqing Zhang

      Pages 202-209

   7. Real-Time Patch-Based Tracking with Occlusion Handling

      • Jian Tian, Yue Zhou

      Pages 210-217

   8. Blood Cell Image Retrieval System Using Color, Shape and Bag of Words

      • Mohammad Reza Zare, Woo Chaw Seng

      Pages 218-225

   9. Analysis of OCT Images for Detection of Choroidal Neovascularization in Retinal Pigment Epithelial Layer

      • Sadaf Ayaz, Sadaf Sahar, Madeeha Zafar, Muhammad Usman Akram, Yasser Nadeem

      Pages 226-233

   10. Online Object Tracking Based on Depth Image with Sparse Coding

       • Shan-Chun Shen, Wei-Long Zheng, Bao-Liang Lu

       Pages 234-241

   11. Real-Time Compressive Tracking with a Particle Filter Framework

       • Xuan Yao, Yue Zhou

       Pages 242-249

   12. Image Super-Resolution with Fast Approximate Convolutional Sparse Coding

       • Christian Osendorfer, Hubert Soyer, Patrick van der Smagt

       Pages 250-257

   13. Sparse Coding for Improved Signal-to-Noise Ratio in MRI

       • Fuleah A. Razzaq, Shady Mohamed, Asim Bhatti, Saeid Nahavandi

       Pages 258-265

   14. Scalable Video Coding Using Hybrid DCT/Wavelets Architectures

       • Tamer Shanableh

       Pages 266-275

   15. Image Enhancement Using Geometric Mean Filter and Gamma Correction for WCE Images

       • Shipra Suman, Fawnizu Azmadi Hussin, Aamir Saeed Malik, Nicolas Walter, Khean Lee Goh, Ida Hilmi et al.

       Pages 276-283

   16. Autoencoder-Based Collaborative Filtering

       • Yuanxin Ouyang, Wenqi Liu, Wenge Rong, Zhang Xiong

       Pages 284-291

   17. Extended Laplacian Sparse Coding for Image Categorization

       • Mouna Dammak, Mahmoud Mejdoub, Chokri Ben Amar

       Pages 292-299

2. The 2014 Cybersecurity Data Mining Competition and Workshop (CDMC2014)

   1. Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method

      • Gang Chen, Mengjie Zhang, Shaoning Pang, Colin Douch

      Pages 300-307

   2. Quantum Inspired Evolutionary Algorithm by Representing Candidate Solution as Normal Distribution

      • Sreenivas Sremath Tirumala, Gang Chen, Shaoning Pang

      Pages 308-316

   3. Text Categorization with Diversity Random Forests

      • Chun Yang, Xu-Cheng Yin, Kaizhu Huang

      Pages 317-324

The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory and design, applications, kernel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and image processing, and special sessions intelligent systems for supporting decision, making processes, theories and applications, cognitive robotics, and learning systems for social network and web mining.

• activity recognition
• artificial intelligence
• big data
• bio-inspired computing
• brain-computer interface
• cellular automaton
• cloud computing
• clustering and classification
• decision support systems
• digital signal processing
• image processing
• kernel method
• knowledge extraction
• machine learning
• machine learning theory
• multi agent system
• neural networks
• ontology
• particle swarm optimization
• pattern recognition
• recommender systems
• regression analysis
• reinforcement learning
• robotics
• social network
• support vector machines
• time series
• tracking
• unsupervised learning
• virtual machine
• web mining
• wikipedia

• Department of Artificial Intelligence, Faculty of Computer Science and Information Technology Building, University of Malaya, Kuala Lumpur, Malaysia

  Chu Kiong Loo

• Department of Electronics and Communication Engineering, College of Engineering, Jalan IKRAM-UNITEN, Universiti Tenaga Nasional, Kajang, Malaysia

  Keem Siah Yap

• School of Engineering and Information Technology, Murdoch University, South St, Murdoch, Australia

  Kok Wai Wong

• Department of Electrical and Electronics Engineering, Yonsei University, Seoul, South Korea

  Andrew Teoh Beng Jin

• Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

  Kaizhu Huang

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