Neural Information Processing

1. Front Matter

   PDF

2. Computer Vision

   1. Obstacle Categorization Based on Hybridizing Global and Local Features

      • Jeong-Woo Woo, Young-Chul Lim, Minho Lee

      Pages 1-10

   2. Defect Detection and Classification in Citrus Using Computer Vision

      • Jose J. Lopez, Emanuel Aguilera, Maximo Cobos

      Pages 11-18

   3. Superresolution from Occluded Scenes

      • Wataru Fukuda, Atsunori Kanemura, Shin-ich Maeda, Shin Ishii

      Pages 19-27

   4. Generating Self-organized Saliency Map Based on Color and Motion

      • Satoru Morita

      Pages 28-37

   5. Co-occurrence of Intensity and Gradient Features for Object Detection

      • Akinori Hidaka, Takio Kurita

      Pages 38-46

3. Control and Robotics

   1. Adaptive Sensor-Driven Neural Control for Learning in Walking Machines

      • Poramate Manoonpong, Florentin Wörgötter

      Pages 47-55

   2. A Method to Switch Multiple CAN2s for Variable Initial Temperature in Temperature Control of RCA Cleaning Solutions

      • Shuichi Kurogi, Hiroshi Yuno, Yohei Koshiyama

      Pages 56-64

   3. Vision-Motor Abstraction toward Robot Cognition

      • Fady Alnajjar, Abdul Rahman Hafiz, Indra Bin Mohd Zin, Kazuyuki Murase

      Pages 65-74

   4. Adaptively Coordinating Heterogeneous Robot Teams through Asynchronous Situated Coevolution

      • Abraham Prieto, Francisco Bellas, Richard J. Duro

      Pages 75-82

   5. RL-Based Memory Controller for Scalable Autonomous Systems

      • Osman Hassab Elgawi

      Pages 83-92

   6. A Semantic SLAM Model for Autonomous Mobile Robots Using Content Based Image Retrieval Techniques

      • Choon Ling Tan, Simon Egerton, Velappa Ganapathy

      Pages 93-106

4. Evolutionary Computation

   1. Parameter Estimation Using a SCE Strategy

      • Pengfei Li, Hesheng Tang, Zhaoliang Wang

      Pages 107-113

   2. A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction

      • Harya Widiputra, Henry Kho, Lukas, Russel Pears, Nikola Kasabov

      Pages 114-121

   3. A Multi-strategy Differential Evolution Algorithm for Financial Prediction with Single Multiplicative Neuron

      • Chukiat Worasucheep, Prabhas Chongstitvatana

      Pages 122-130

   4. Boosted Neural Networks in Evolutionary Computation

      • Martin Holeňa, David Linke, Norbert Steinfeldt

      Pages 131-140

   5. Improving Prediction Interval Quality: A Genetic Algorithm-Based Method Applied to Neural Networks

      • Abbas Khosravi, Saeid Nahavandi, Doug Creighton

      Pages 141-149

   6. Involving New Local Search in Hybrid Genetic Algorithm for Feature Selection

      • Md. Monirul Kabir, Md. Shahjahan, Kazuyuki Murase

      Pages 150-158

   7. Pareto Optimal Based Evolutionary Approach for Solving Multi-Objective Facility Layout Problem

      • Kazi Shah Nawaz Ripon, Kyrre Glette, Omid Mirmotahari, Mats Høvin, Jim Tørresen

      Pages 159-168

5. Other Emerging Computational Methods

   1. Swarm Reinforcement Learning Algorithm Based on Particle Swarm Optimization Whose Personal Bests Have Lifespans

      • Hitoshi Iima, Yasuaki Kuroe

      Pages 169-178

th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1–5, 2009. ICONIP is a world-renowned international conference that is held annually in the Asia-Pacific region. This prestigious event is sponsored by the Asia Pacific Neural Network Assembly (APNNA), and it has provided an annual forum for international researchers to exchange the latest ideas and advances in neural networks and related discipline. The School of Information Technology (SIT) at King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand was the proud host of ICONIP 2009. The conference theme was “Challenges and Trends of Neural Information Processing,” with an aim to discuss the past, present, and future challenges and trends in the field of neural information processing. ICONIP 2009 accepted 145 regular session papers and 53 special session papers from a total of 466 submissions received on the Springer Online Conference Service (OCS) system. The authors of accepted papers alone covered 36 countries and - gions worldwide and there are over 500 authors in these proceedings. The technical sessions were divided into 23 topical categories, including 9 special sessions.

• Mathematica
• algorithms
• bioinformatics
• computer
• computer vision
• data mining
• image processing
• learning
• modeling
• robot
• robotics

• Department of Electronic Engineering, City University of Hong Kong, Hong Kong,  

  Chi Sing Leung

• School of Electrical Engineering and Computer Science, Kyungpook National University, Taegu, Korea

  Minho Lee

• School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

  Jonathan H. Chan

Policies and ethics