INNS-NNN 2008

Mon, 24.11

Invited talks (room Marlborough 1)
9:00-9:45, Opening talk: N.Kasabov, "Neural-, genetic-, and quantum information processing: Towards integrative connectionist theory and systems"
9:50-10:40 Invited talk, session chair N.Kasabov
C.Abraham, "Microarray analysis of gene networks associated with long-term potentiation of synaptic transmission in the hippocampus"

10:40-11:00 Coffee served

11:00-12:40, Invited talks, session chair J. Weng
H.Kojima, "Glutamate Receptor Channel Kinetics Models and Synaptic Plasticity: Future application of 2-photon laser photolysis"
M.Tsukada, "Coding mechanisms in hippocampal networks for learning and
memory"

12:40-13:30, Lunch served

13:30-15:10, Invited talks, session chair L.Benuskova
J. Weng, "Autonomous Mental Development: from the Brain to Machines"
Y.Jin, "Brain-Body Co-Evolution toward Understanding Major Transitions in Evolution of Primitive Nervous Systems"

15:10-15:30, Coffee served

15:30- 18:00, Invited talks, session chair J.Wright
G.Marcus, TBA
A. Villa, "Emerging Preferred Firing Sequences in Dynamic Neural Networks"
L.Benuskova, "Computational Neurogenetic Modelling: a New Paradigm in Modelling the Brain"

Cocktail, 18:00-19:00 with a special discount sale and autographing the
new book by L. Benuskova and N. Kasabov

Tue, 25.11.

Oral sessions
9:00-10:40, Session S1 [brain modeling, room Marlborough 1] (paper ID
1, 11, 14, 19), chair: A. Villa
Session S2 [neuroevolution, room Marlborough 2 (paper ID 4, 7, 18, 21),
chair: G.Marcus

10:40-11:00, Coffee served

11:00-12:20, Session S3 [pattern recognition, Marlborough 1] (paper ID
2, 6, 8, 13), chair: L. Patel
Session S4 [robotics, Malborough 2] (paper ID 5, 10, 17, 20) chair: Y. Jin

12:20-12:30 Closing of the NNN08 (Marlborough 1)

Lunch served, 12:30-13:30


ICONIP 2008

Tue, 25.11


Tutorials
Tut1 (I. Farkas, NZ3), T2 (J. Sima, NZ4), 8:50-10:30
Coffee served 10:30-10:50
T3 (A. Leung, NZ3), T4 (L.Benuskova, NZ4), 10:50-12:30

Lunch served, 12:30-13:30


ICONIP Opening, 13:30-13:45 , NZ1-2

Plenary 1 13:50-14:40
Dr. Kenji Doya, Okinawa Institute of Science and Technology, Japan "Computation and Neural Mechanism for Reinforcement Learning"(NZ1-2)
Prof. Lei Xu, Chinese University of Hong Kong and Beijing University, China "Bayesian Ying Yang Learning : Local Uncertainty Conservation, Subspaces Based Supervised Learning, and State Space Modeling" (NZ3)

Invited 1 (A,B,C), 14:45 -15:30 (3 in parallel)
Prof. Andrzej Cichocki, RIKEN Brain Science Institute, Japan "Sparse and Nonnegative Tensor Factorization/Decompositions and their Applications in Analysis of Multimodal Biomedical Signals, especially in Brain Computer Interface" (NZ1-2)
Prof. Bogdan Gabrys, University of Bournemouth, UK "Self-adapting architecture for building powerful predictive models"(NZ3)
Prof. Mike Paulin, Otago University, New Zealand "Attacking Neural Computation with a Virtual Shark" (NZ4)

Coffee served, 15:30-15:50

Parallel sessions TuA1 (1,2,3,4,5,6): 15:50-17:30 (6 in parallel, 5 papers in each session)

TuA1-1(5): Neurodynamics 1
Chair:

1 - (9) First Spiking Dynamics of Noisy Neuronal Model with Optimal Control
Yongjun Wu, Jianhua Peng, and Ming Luo

2 - (32) A One-layer Recurrent Neural Network for Non-smooth Convex Optimization Subject to Linear Equality Constraints
Qingshan Liu and Jun Wang

3 - (45) BCM and Membrane Potential: Alternative Ways to Timing Dependent Plasticity
Johannes Partzsch, Christian Mayr, and Rene Schueffny

4 - (99) A Novel Hybrid Spiking Neuron: response analysis and learning potential
Sho Hashimoto and Hiroyuki Torikai

5 - (1) Time evaluation for WTA Hopfield type circuits affected by cross-coupling capacitances
Ruxandra L. Costea and Corneliu A. Marinov



TuA1-2(5): Cognitive Neuroscience 1
Chair:

1 - (13) Biological Plausibility of Spectral Domain Approach for Spatiotemporal Visual Saliency
Peng Bian and Liming Zhang

2 - (47) A "Global Closure" Effect in Contour Integration
Kazuhiro Sakamoto, Hidekazu Nakajima, Takeshi Suzuki, and Masafumi Yano

3 - (82) Modeling of Associative Dynamics in Hippocampal Contributions to Heuristic Decision Making
Miki Hirabayashi and Hirotada Ohashi

4 - (113) Tracking with Depth-from-Size
Chen Zhang, Volker Willert, and Julian Eggert

5 - (115) Training Recurrent Connectionist Models on Symbolic Time Series
Michal Cernansky and Lubica Benuskova



TuA1-3(5): Neural Network Based Semantic Web, Data Mining and Knowledge Discovery 1
Chair:

1 - (86) A Novel Method for Manifold Construction
Wei-Chen Cheng and Cheng-Yuan Liou

2 - (114) A Non-Linear Classifier for Symbolic Interval Data Based on a Region Oriented Approach
Renata Souza and Diogo Salazar

3 - (151) A symmetrical model applied to interval-valued data containing outliers with heavy-tail distribution
Marco Domingues, Renata Souza, and Francisco Cysneiros

4 - (181) New Neuron Model for Blind Source Separation
Md. Shiblee, B. Chandra, and P. K. Kalra

5 - (182) Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error based approach
Md. Shiblee, P. K. Kalra, and B. Chandra



TuA1-4(5): Neural Networks Learning Paradigm 1
Chair:

1 - (11) A String Measure with Symbols Generation: String Self-Organizing Maps
Luis Fernando Mingo, Nuria Gomez, and Miguel Angel Diaz

2 - (27) Neural Network Smoothing Of Geonavigation Data On The Basis Of Multilevel Regularization Algorithm
Vladimir Vasilyev and Ildar Nugaev

3 - (33) Knowledge-Based Rule Extraction from Self-Organizing Maps
Chihli Hung

4 - (61) A Bayesian Local Linear Wavelet Neural Network
Kunikazu Kobayashi, Masanao Obayashi, and Takashi Kuremoto

5 - (226) Analysis on Equilibrium Point of Expectation Propagation Using Information Geometry
Hideyuki Matsui and Toshiyuki Tanaka



TuA1-5(5): Kernel Methods and SVM 1
Chair:

1 - (20) Symbolic Knowledge Extraction from Support Vector Machines: A Geometric Approach
Lu Ren and Artur Garcez

2 - (70) Asbestos Detection From Microscope Images Using Support Vector Random Field of Local Color Features
Yoshitaka Moriguchi, Kazuhiro Hotta, and Haruhisa Takahashi

3 - (77) Acoustic Echo Cancellation using Gaussian Processes
Jyun-ichiro Tomita and Yuzo Hirai

4 - (88) Automatic Particle Detection and Counting By One-Class SVM From Microscope Image
Hinata Kuba, Kazuhiro Hotta, and Haruhisa Takahashi

5 - (348) On Efficient Content based Information Retrieval using SVM and higher order correlation analysis
Dimitrios Karras



TuA1-6(5): Neural Networks as a Soft Computing Technology
Chair:

1 - (37) Suitability of Using Self-Organizing Neural Networks in Configuring P-System Communications Architectures
Abraham Gutierrez, Soledad Delgado, Aurea Anguera, and Octavio Tolic

2 - (156) Short Term Load Forecasting (STLF) Using Artificial Neural Network Based Multiple Lags of Time Series
Mohd Hafez Hilmi Harun, Muhammad Murtadha Othman, and Ismail Musirin

3 - (179) Neural Network Regression for LHF Process Optimization
Miroslaw Kordos

4 - (362) Dynamic neural fuzzy inference system
Yuan-Chun (Peter) Hwang and Qun Song

5 - (205) Trading Strategy in Foreign Exchange Market using Reinforcement Learning Hierarchical Neuro-Fuzzy Systems
Marcelo Corrêa, Marley Vellasco, Karla Figueiredo, and Pedro Vellasco




Break 17:30-17:40

Parallel sessions TuA2 (1,2,3,4,5,6): 17:40-19:00 (6 in parallel, 4 papers in each session)

TuA2-1(4): Neurodynamics 2
Chair:

1 - (187) Event-Related Desynchronisation of Spontaneous Motor Actions
Somnuk Phon-Amnuaisuk

2 - (212) Competition between synapses located in proximal and distal dendrites of the dentate granule cell through STDP
Yukihiro Nonaka and Hatsuo Hayashi

3 - (227) An Analysis of the Autonomic Cardiac Activity by Reducing the Interplay Between Sympathetic and Parasympathetic Information
Fausto Lucena de Oliveira, Deusdete Brito, Allan Kardec Barros, and Noboru Ohnishi



TuA2-2(4): Cognitive Neuroscience 2
Chair:

1 - (125) Computational Modeling of Risk–Related Eye Movement of Car Drivers
Masayoshi Sato, Yuki Togashi, Takashi Omori, Koichiro Yamauchi, Satoru Ishikawa, and Toshihiro Wakita

2 - (127) Robust Detection of Medial-Axis by Onset Synchronization of Border-Ownership Selective Cells and Shape Reconstruction from its Medial-Axis
Yasuhiro Hatori and Ko Sakai

3 - (130) Synaptic cooperation and competition in STDP learning rule
Shigeru Kubota and Tatsuo Kitajima

4 - (150) An exemplar-based statistical model for the dynamics of neural synchrony
Justin Dauwels, Francois Vialatte, Theophane Weber, and Andrzej Cichocki



TuA2-3(4): Neural Network Based Semantic Web, Data Mining and Knowledge Discovery 2
Chair:

1 - (56) Local feature selection in text clustering
Marcelo Ribeiro, Manoel Neto, and Ricardo Prudêncio

2 - (59) Sprinkled Latent Sematic Indexing for Text Classification with Background Knowledge
Haiqin Yang and Irwin King

3 - (189) Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity
Tina Geweniger, Frank-Michael Schleif, Alexander Hasenfuss, Barbara Hammer, and Thomas Villmann

4 - (239) Neurocognitive approach to clustering of PubMed query results
Pawel Matykiewicz, Wlodzislaw Duch, Paul Zender, Keith Crutcher, and John Pestian



TuA2-4(4): Neural Networks Learning Paradigm 2
Chair:

1 - (63) Partially Enhanced Competitive Learning
Ryotaro Kamimura and Kenta Aoyama

2 - (64) Feature Detection by Structural Enhanced Information
Ryotaro Kamimura

3 - (73) A reinforcement learning using a scheduled tile coding
Youhei Kajimoto and Masaharu Adachi

4 - (140) Gradient Learning in Networks of Smoothly Spiking Neurons
Jirí Šíma



TuA2-5(4): Kernel Methods and SVM 2
Chair:

1 - (78) Protein Folding Classification by Committee SVM Array
Mika Takata and Yasuo Matsuyama

2 - (87) Implementation of the MLP Kernel
Cheng-Yuan Liou and Wei-Chen Cheng

3 - (177) Fuzzy Rules Extraction from Support Vector Machines for Multi-class Classification with Feature Selection
Adriana Chaves, Marley Vellasco, and Ricardo Tanscheit

4 - (235) An SVM based Approach to Cross-Language Adaptation for Indian Languages
Vijaya Rama Raju A and Chandra Sekhar C



TuA2-6(4): Neural Networks and Pattern Recognition 1
Chair:

1 - (10) Happy-sad Expression Recognition Using Emotion Geometry Feature and Support Vector Machine
Linlu Wang, Xiaodong Gu, Yuanyuan Wang, and Liming Zhang

2 - (12) Application of a New Symmetry Based Multiobjective Clustering Technique for Automatic MR Brain Image Segmentation
Sanghamitra Bandyopadhyay and Sriparna Saha

3 - (14) A New Principal Axis Based Line Symmetry Measurement and its Application to Clustering
Sanghamitra Bandyopadhyay and Sriparna Saha

4 - (76) Class-dependent Feature Selection for Face Recognition
Zhou Nina and Lipo Wang



APNNA Board meeting (19:00 -22:00) over dinner

Wed 26.11.


Plenary 2 8:50-9:40
Prof. Shun-ichi Amari, RIKEN Brain Science Institute, Japan (NZ1-2)
Prof. Alessandro Villa, University of Grenoble, France "Preferred Firing Sequences in Cerebral Neural Networks: from Experimental Evidence to a Dynamical Systems Perspective" (NZ3)

Invited 2 9:50-10:30
Prof. Richard Duro, Universidade da Coruna, Spain "Robots, Cognition, Neurons and Evolution" (NZ1-2)
Prof. Sung-Bae Cho, Yonsei University, Korea (NZ3)
Prof. Ajit Narayanan, Auckland University of Technology, New Zealand (NZ4)

Coffee served: 10:30-10:50

Parallel sessions WM (1,2,3,4,5) 10:50: 12:30 (5 parallel sessions, 5 papers in each session) + Panel 1

WeM-1(5): SPECIAL SESSION Data Mining Methods for Cybersecurity 1
Chair:

1 - (152) An Evaluation of Machine Learning-based Methods for Detection of Phishing Sites
Daisuke Miyamoto, Hiroaki Hazeyama, and Youki Kadobayashi

2 - (153) Detecting Methods of Virus Email based on Mail Header and Encoding Anomaly
Daisuke Miyamoto, Hiroaki Hazeyama, and Youki Kadobayashi

3 - (176) Faster parameter detection of polymorphic viral code using hot list strategy
Ruo Ando

4 - (264) G-means: A Clustering Algorithm for Intrusion Detection
Zhonghua Zhao, Shanqing Guo, Qiuliang Xu, and Tao Ban

5 - (310) Anomaly Intrusion Detection for Evolving Data Stream Based on Semi-Supervised Learning
Yan Yu, Shanqing Guo, Shaohua Lan, and Tao Ban



WeM2(5): Neuromorphic Hardware and Embedded Neural Networks
Chair:

1 - (50) Hardware design of Japanese Hand Sign Recognition System
Hiroomi Hikawa and Hirotada Fujimura

2 - (80) Blind Source Separation System using Stochastic Arithmetic on FPGA
Michihiro Hori and Michihito Ueda

3 - (221) Noise-Tolerant Analog Circuits for Sensory Segmentation based on Symmetric STDP Learning
Gessyca Maria Tovar Nunez, Tetsuya Asai, and Yoshihito Amemiya

4 - (326) A Novel Approach for Hardware Based Sound Classification
Mauricio Kugler, Victor Benso, Susumu Kuroyanagi, and Akira Iwata



WeM3(5): Cognitive Neuroscience 3
Chair:

1 - (196) Time-Varying Synchronization of Visual ERP during Sentences Identification
Minfen Shen, Jialiang Chen, and K. H. Ting

2 - (213) Towards a comparative theory of the primates’ tool-use behavior
Toshisada Mariyama and Hideaki Itoh

3 - (225) Artifact removal using simultaneous current estimation of noise and cortical sources
Ken-ichi Morishige, Dai Kawawaki, Taku Yoshioka, Masa-aki Sato, and Mitsuo Kawato

4 - (229) Significance for Hippocampal Memory of Context-like Information Generated in Hippocampal CA3c
Toshikazu Samura, Motonobu Hattori, Shinichi Kikuchi, and Shun Ishizaki



WeM4(5): SPECIAL SESSION Computational Models and their Applications in Machine Learning and Pattern Recognition 1
Chair:

1 - (16) A Chaotic Neuro-GA Synergism for Solving Maximum Fuzzy Clique Problem
Sanghamitra Bandyopadhyay and Malay Bhattacharyya

2 - (21) Architecture of Knowledge-based Function Approximator
Osman Hassab Elgawi

3 - (36) Hybrid Feature Selection: combining Fisher Criterion and Mutual Information for efficient feature selection
Chandra Shekhar Dhir and Soo-Young Lee

4 - (38) Sensibility-Aware Image Retrieval Using Computationally Learned Bases: RIM, JPG, J2K, and Their Mixtures
Takatoshi Kato, Shun'ichi Honma, Yasuo Matsuyama, Tetsuma Yoshino, and Yuuki Hoshino

5 - (52) An Analysis of Generalization Error in Relevant Subtask Learning
Keisuke Yamazaki and Samuel Kaski



WeM5(5): SPECIAL SESSION Pattern Recognition from Real-world Information by SVM and other Sophisticated Techniques 1
Chair:

1 - (46) A Support Vector Machine with Forgetting Factor and Its Statistical Properties
Hiroyuki Funaya, Yoshihiko Nomura, and Kazushi Ikeda

2 - (173) Improved Parameter Tuning Algorithm for Fuzzy Classifiers
Kazuya Morikawa and Shigeo Abe

3 - (305) Accelerated Classifier Training using the PSL Cascading Structure
Teo Susnjak and Andre Barczak

4 - (333) Imitation Learning from Unsegmented Human Motion using Switching Autoregressive Model and Singular Vector Decomposition
Tadahiro Taniguchi and Naoto Iwahashi

5 - (360) Vision Based Mobile Robot for Indoor Environmental Security
Sean Gordon, Shaoning Pang, Ryota Nishioka, Nikola Kasabov, and Takeshi Yamakawa




Panel 1 10:50-12:30 (NZ1-2)

Lunch served, 12:30-13:30

Plenary 3 (A,B), 13:30-14:20
Prof. Takeshi Yamakawa, Kyushu Institute of Technology, Japan "Localization of Epileptogenic Focus by employing Softcomputing and Minimally Invasive Surgery" (NZ1-2)
Prof. Danilo Mandic, Imperial College, UK (NZ3)

Invited 3 14:30-15:10
Prof. Wlodzislaw Duch, Nicholaus Copernicus University, Poland "Neurocognitive approach to natural language understanding and creativity" (NZ1-2)
Prof. Youki Kadobayashi, National Iinstitute of Information and Communications Technology, Japan "Cybersecurity: a new problem domain for computational intelligence" (NZ3)
Prof. Gary Marcus, Department of Psychology, New York University (NZ4)

Coffee served, 15:10-15:30

Parallel sessions WA1 (1,2,3,4,5,6): 15:30-16:50 (6 in parallel, 4 papers in each session)

WeA1-1(4): SPECIAL SESSION Recent Advances in Brain-inspired Technologies for Robotics 1
Chair:

1 - (169) Cognitive Representation and Bayesian Model of Spatial Object Contexts for Robot Localization
Chuho Yi, Il Hong Suh, Gi Hyun Lim, Seungdo Jeong, and Byung-Uk Choi

2 - (170) Learning of Action Generation from Raw Camera Images in a Real-World-like Environment by Simple Coupling of Reinforcement Learning and a Neural Network
Katsunari Shibata and Tomohiko Kawano

3 - (175) Brain-inspired Emergence of Behaviors based on the Desire for Existence by Reinforcement Learning
Mikio Morita and Masumi Ishikawa

4 - (237) A neural network based controller for an outdoor mobile robot
Masanori Sato, Atushi Kanda, and Kazuo Ishii



WeA1-2(4): SPECIAL SESSION: Lifelong Incremental Learning for Intelligent Systems
Chair:

1 - (75) Automatic Discovery of Subgoals in Reinforcement Learning using Strongly Connected Components
Seyed Jalal Kazemitabar and Hamid Beigy

2 - (108) A Vector Quantization Approach for Life-Long Learning of Categories
Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, and Edgar Körner

3 - (109) An Integrated System for Incremental Learning of Multiple Visual Categories
Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, and Edgar Körner

4 - (208) A Neural Network Model for Sequential Multitask Pattern Recognition Problems
Hitoshi Nishikawa, Seiichi Ozawa, and Asim Roy



WeA1-3(4): Cognitive Neuroscience 4
Chair:

1 - (172) Interpreting Dopamine Activities in Stochastic Reward Tasks
Akiyo Asahina, Jun-ichiro Hirayama, and Shin Ishii

2 - (188) Epileptogenic ECoG Monitoring and Brain Stimulation Using A Multifunctional Microprobe for Minimally Invasive Brain Microsurgery
Toshitaka Yamakawa, Takeshi Yamakawa, Michiyasu Suzuki, and Masami Fujii

3 - (232) Generalization in linguistic category formation based on the prototype effect
Tamami Sudo and Ken Mogi

4 - (238) A Computer Model of Sequence Learning during Language Acquisition
Sepideh Fazeli and Fariba Bahrami



WeA1-4(4): SPECIAL SESSION Dynamics of Neural Networks 1
Chair:

1 - (42) Passivity Analysis of Continuous-time Recurrent Neural Networks with Delays
Zhigang Zeng and Tingwen Huang

2 - (83) Bifurcation and Windows in a Simple Piecewise Linear Chaotic Spiking Neuron
Tomonari Hasegawa and Toshimichi Saito

3 - (95) Bifurcation between Superstable Periodic Orbits and Chaos in a Simple Spiking Circuit
Yuji Kawai and Toshimichi Saito

4 - (164) Application of Higher Order Neural Network Dynamics to Distributed Radio Resource Usage Optimization of Cognitive Wireless Networks
Mikio Hasegawa, Taichi Takeda, Taro Kuroda, Ha Nguyen Tran, Goh Miyamoto, Yoshitoshi Murata, Hiroshi Harada, and Shuzo Kato



WeA1-5(4): SPECIAL SESSION Intelligent Video Surveillance and Analysis
Chair:

1 - (206) A Multi-layered Approach to Hand and Face Tracking and Gesture Recognition
Farhad Dadgostar, Hossein Sarrafzadeh, and Chris Messom

2 - (245) Investigations into Particle Swarm Optimization for Multi-Class Shape Recognition
Ee Lee Ng, Mei Kuan Lim, Tomas Henrique Maul, and Weng Kin Lai

3 - (246) Virtual Fence for a Surveillance System
Yen San Yong, Hock Woon Hon, Yasir Salih Osman, Ching Hau Chan, Siu Jing Then, and Sheau Wei Chau

4 - (285) A Robust Technique for Background Subtraction in Traffic Video
Tao Gao, Zheng-guang Liu, Wen-chun Gao, and Jun Zhang



WeA1-6(4): SPECIAL SESSION Applictions of Intelligent Methods in Ecological Informatics
Chair:

1 - (135) Classification and Prediction of Lower Troposphere Layers Influence on RF Propagation Using Artificial Neural Networks
Martin Mudroch, Pavel Pechac, Martin Grabner, and Vaclav Kvicera

2 - (167) Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors using Multi-layer Perceptrons
Michael Watts and Susan Worner

3 - (279) Using Time Lagged Input Data to Improve Prediction of Stinging Jellyfish Occurrence at New Zealand Beaches by Multi-Layer Perceptrons
David Pontin and Susan Worner

4 - (353) Modelling climate change effects on wine quality based on expert opinions expressed in free-text format: the WEBSOM approach
Subana Shanmuganathan and Philip Sallis




Break 16:50-17:00

Parallel sessions WA2 (1,2,3,4,5,6): 17:00-18:00 (6 in parallel, 3 papers in each session)

WeA2-1(3): SPECIAL SESSION Data Mining Methods for Cybersecurity 2
Chair:

1 - (337) An Incident Analysis System nicter and Its Analysis Engines Based on Data Mining Techniques
Daisuke Inoue, Katsunari Yoshioka, Masashi Eto, Masaya Yamagata, Eisuke Nishino, Jun-ichi Takeuchi, Kazuya Ohkouchi, and Koji Nakao

2 - (342) Intrusion Detection by Matrix Factorization
Vaclav Snasel, Jan Platos, Pavel Kromer, and Ajith Abraham

3 - (349) Towards a Reliable Evaluation Framework for Message Authentication in Web based Transactions based on an Improved Computational Intelligence and Dynamical Systems Methodology
Dimitrios Karras and Vasilios Zorkadis



WeA2-2(3): Neural Networks Learning Paradigm 3
Chair:

1 - (72) Orthogonalization and thresholding method for a nonparametric regression problem
Katsuyuki Hagiwara

2 - (85) Analysis of Ising spin neural network with time-dependent Mexican-hat-type interaction
Kazuyuki Hara, Seiji Miyoshi, Tatsuya Uezu, and Masato Okada

3 - (90) Divided Chaotic Associative Memory for Successive Learning
Takahiro Hada and Yuko Osana



WeA2-3(3): Neural Networks for Perception 1
Chair:

1 - (19) A Neural Oscillation Model for Contour Separation in Color Images
Yu Ma, Xiaodong Gu, and Yuanyuan Wang

2 - (96) Analysis on generalization error of faulty RBF networks with weight decay regularizer
Chi Sing Leung and John Sum

3 - (123) Top-Down Object Preferable Attention Using Growing Fuzzy Topology ART
Byungku Hwang, Sang-Woo Ban, and Minho Lee



WeA2-4(3): SPECIAL SESSION Dynamics of Neural Networks 2
Chair:

1 - (166) Synchronized rhythmic signals effectively influence on-going cortical activity for decision-making: a study of the biological plausible neural network model
Hiroaki Wagatsuma and Yoko Yamaguchi

2 - (200) A Desynchronization Process in Coupled Non-identical Neural Oscillators
Yasuomi Sato, Yuji Tanaka, and Masatoshi Shiino

3 - (350) Revisiting the problem of weight initialization for Multi-Layer Perceptrons trained with Back Propagation
Stavros Adam, Dimitrios Karras, and Michael Vrahatis



WeA2-5(3): Bioinformatics 1
Chair:

1 - (53) FES position control of forearm using EOG
Ken Suetsugu, Yoshihiko Tagawa, Tomohisa Inada, and Naoto Shiba

2 - (57) Reduction of FPs for Lung Nodules in MDCT by Use of Temporal Subtraction with Voxel-Matching Technique
Yoshinori Itai, Hyoungseop Kim, Seiji Ishikawa, Shigehiko Katsuragawa, and Kunio Doi

3 - (134) Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting
Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, and Tim W. Nattkemper



WeA2-5(3): Evolutionary Methodologies
Chair:

1 - (41) Particle Swarm Optimization and Differential Evolution in Fuzzy Clustering
Fengqin Yang, Changhai Zhang, and Tieli Sun

2 - (143) Quantum-Inspired Evolutionary Algorithms Applied to Numerical Optimization Problems
Andre Vargas Abs da Cruz, Marley Vellasco, and Marco Aurelio Pacheco

3 - (308) An Improved Genetic Algorithm for DNA Motif Discovery with Public Domain Information
Xi Li and Dianhui Wang



Poster session: 18:00 -19:00
Poster Session
Chair:

1 - (29) Improving Feature Vectors for Iris Recognition through Design and Implementation of New Filter bank and locally compound using of PCA and ICA
hamed Ranjzad

2 - (40) Agent Genetic Algorithm Based Multi-Criteria Feature Selection Algorithm
Yongming Li and Xiaoping Zeng

3 - (44) Feature Selection Method with Multi-Population Agent Genetic Algorithm
Yongming Li and Xiaoping Zeng

4 - (51) A New ART-LMS Neural Network for the Image Restoration
Tzu-Chao Lin and Mu-kun Liu

5 - (223) Motion Vehicle Recognition and Tracking in the Complex Environment
Tao Gao

6 - (241) Genetic versus Nearest-Neighbor Imputation of Missing Attribute Values for RBF Networks
Pedro de Oliveira and André Coelho

7 - (301) Automatic Classification System for the Diagnosis of Alzheimer Disease Using Component-Based SVM Aggregations
Ignacio Álvarez Illan, Miriam López Pérez, Juan Manuel Górriz Sáez, Javier Ramírez Pérez de Inestrosa, and Carlos García Puntonet

8 - (311) Early detection of the Alzheimer disease combining feature selection and kernel machines
Javier Ramírez, Juan M. Górriz, Miriam López, Diego Salas, and Ignacio Álvarez

9 - (312) Classification of Fundus Images for Diagnosing Glaucoma by Self-Organizing Map and Learning Vector Quantization
Nobuo Matsuda, Jorma Laaksonen, Fumiaki Tajima, and Hedeaki Sato

10 - (321) DNA Computing Hardware Design and Application to Multiclass Cancer Data
Sun-Wook Choi and Chong Ho Lee

11 - (329) Computer Aided Diagnosis of Alzheimer Disease Using Support Vector Machines and Classification Trees
Diego Salas-Gonzalez, Juan Manuel Górriz, Javier Ramírez, Miriam López, and Ignacio Ãlvarez

12 - (22) Scalable Incremental Learning of Object Recognition
Osman Hassab Elgawi

13 - (23) Navigation Sensors Fault Diagnosis Based on Wavelet Transform and Neural network
Huaming Qian, Zhen-Lv Zhang, and Ji-Chen Ma

14 - (25) FPGA Implementation of Log-Polar Vision for Robotic
Wai Kit Wong, Chee Wee Choo, Chu Kiong Loo, and Joo Peng Teh

15 - (26) Combination of Dynamic Reservoir and Feedforward Neural Network for Time Series Forecasting
Stefan Babinec and Jiri Pospichal

16 - (35) Pattern classification for handwritten curve scripts of three alphabets using image density feature and conjugate descent technique of Neural Networks
Vijaypal Dhaka, Mukta Rao, and Dr. M. P. Singh

17 - (48) Consonantal Recognition using SVM and New Hierarchical Decision Structure based in the Articulatory Phonetics
ADRIANO BRESOLIN, ADRIAO DÓRIA DUARTE NETO, and PABLO JAVIER ALSINA

18 - (119) A New Security on Neural Synchronization with Queries for
Prabakaran N and Vivekanandan P

19 - (180) A Behavioral Based Attentive Learning and Size Scaling Model of Arabic Handwriting Generation
Maryam Naghibolhosseini and Fariba Bahrami

20 - (183) Neural Network Based Text Recognition in 3D
Shivani Mittal and Pankaj Rajan

21 - (193) Inferring Gene Regulatory Networks by GA-based Modeling with SOM-based Gene Clustering
Wei-Po Lee

22 - (215) An Intelligent Sliding-Mode Controller for Controlling a Chaotic Process
Amirbahador Farjadian and Mohammad Javad Yazdanpanah

23 - (222) Web search results clusterization with a priori knowledge
Julian Szymański and Marcin Kempa

24 - (231) Knowledge Extraction from an ANN Product Ranking System for E-commerce
Piyasak Jeatrakul and Kok-Wai Wong

25 - (294) The Generalized Product Neuron Model in Complex Domain
Bipin Kumar Tripathi, Bala Chandra, and Prem Kumar Kalra

26 - (300) Facial Expression Recognition Techniques Using Constructive Feedforward Neural Networks and K-Means Algorithm
Liying Ma

27 - (313) A Hybrid Model for Prediction of Peptide Binding to MHC Molecules
Ping Zhang, Vladimir Brusic, and Kaye Basford

28 - (317) RBF NN Based Adaptive PI Control of Brushless DC Motor
jie xiu

29 - (325) Global minimization of the Projective Nonnegative Matrix Factorization
Zhijian Yuan

30 - (328) Fault-Tolerant Architectures for Nanoelectronic Circuits employing Simple Feed-Forward Neural Networks without Learning
Andrew Kilinga Kikombo, Alexandre Schmid, Tetsuya Asai, Yusuf Leblebici, and Yoshihito Amemiya

31 - (335) Learning Sparse Representations Using a Parametric Cauchy Density
Ling-zhi Liao, Si-wei Luo, and Ya-ping Huang

32 - (351) A Neural Network Based Classifcation of Human Blood Cells in a Multiphysic Framework
Maurizio Fiasché, Matteo Cacciola, Giuseppe Megali, Francesco Carlo Morabito, and Mario Versaci

33 - (7) Learning non-adjacent dependencies with a recurrent neural network
Igor Farkas

34 - (28) The Role of the Infant Vision System in 3D Object Recognition
Roberto A. Vazquez, Humberto Sossa, and Beatriz A. Garro

35 - (55) Caller interaction classification: A comparison of real and binary coded GA-MLP techniques.
Pretesh Patel and Tshilidzi Marwala

36 - (71) On node-fault-injection training an RBF network
John Sum, Chi-sing Leung, Li-pin Hsu, and Kevin Ho

37 - (111) Improving Personal Credit Scoring with HLVQ-C
Armando Vieira

38 - (139) Learning Recurrent Neural Network-Based Gene Regulatory Networks for Robot Control
Wei-Po Lee

39 - (163) Using Optimality to Predict Photoreceptor Distribution in the Retina
Travis Monk and Chris Harris

40 - (247) Real-Time Embedded EEG-Based Brain-Computer Interface
I-Ling Tsai, Li-Wei Ko, Tzyy-Ping Jung, Jen-Feng Chung, and Chin-Teng Lin

41 - (287) Learning in Networks of Evolutionary Processors
Nuria Gomez and Luis Fernando Mingo

42 - (339) AR Model-based Bayesian Speech Enhancement for Nonstationary Environment
Qinghua Huang and Kai Liu

43 - (174) Pulse-Type Hardware Neural Network with Two Time Windows in STDP
Katsutoshi Saeki, Ryo Shimizu, and Yoshifumi Sekine

44 - (117) Gabor Filters as Feature Images for Covariance Matrix on Texture Classification Problem
Jing Yi Tou, Yong Haur Tay, and Phooi Yee Lau

45 - (91) Office Layout Support System Considering Floor Using Interactive Genetic Algorithm
Ryota Tachikawa and Yuko Osana

46 - (204) Optical Imaging of Plastic Changes Induced by Fear Conditioning in The Auditory Cortex of Guinea Pig
Yoshinori Ide, Johan Lauwereyns, and Minoru Tsukada

47 - (306) Possibility of Cantor coding by spatial input patterns
Yasuhiro Fukushima, Minoru Tsukada, Ichiro Tsuda, Yutaka Yamaguti, and Shigeru Kuroda



Banquet: 19:30-22:30

Thu 27.11.


Plenary 4 8:50-9:40
Prof. Shiro Usui, RIKEN Brain Science Institute, Japan "Databasing and Visualizing Neuroscience Knowledge: XooNIps and 3D-SE Viewer" (NZ1-2)
Prof. Andreas König, Technische Universitaet Kaiserslautern, Germany "Automated and Holistic Design of Intelligent and Distributed Integrated Sensor Systems with Self-x Properties for Applications in Vision, Robotics, Smart Environments, and Culinary Assistance Systems" (NZ3)
Prof. Mika Hirvensalo, University of Turku, Finland (NZ4)

Invited 4 9:50-10:30
Prof. Jun Wang, Chinese University of Hong Kong (NZ1-2)
Dr. Yaochu Jin, Honda Research Institute Europe, Germany "Computational Modeling of Gene Regulatory Networks: Analysis, Synthesis and Applications" (NZ3)
Prof. Reinhard Klette, University of Auckland, New Zealand "Stereo Analysis of Real-World Image Sequences" (NZ4)

Coffee served: 10:30-10:50

Parallel sessions ThM (1,2,3,4,5) 10:50-12:30 (5 parallel sessions, 5 papers in each session) + Panel 2

ThM1(5): Bioinformatics 2
Chair:

1 - (136) Clustering of Spectral Patterns based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation
Tomasz Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Anca Ralescu, and Danilo Mandic

2 - (192) Consensus clustering using spectral theory
Mariá C. V. Nascimento, Franklina M. B. Toledo, and André C. P. L. F. Carvalho

3 - (236) On the synchrony of morphological and molecular signaling events in cell migration
Justin Dauwels, Yuki Tsukada, Yuichi Sakumura, Shin Ishii, Kazuhiro Aoki, Takeshi Nakamura, Michiyuki Matsuda, Francois Vialatte, and Andrzej Cichocki

4 - (283) MISCORE: Mismatch-based Matrix Similarity Scores for DNA Motifs Detection
Dianhui Wang and Nung Kion Lee

5 - (344) Ensembles of pre-processing techniques for noise detection in gene expression data
Giampaolo Libralon, Andre de Carvalho, and Ana Carolina Lorena



ThM2(5): Ensemble Methods for Neural Network
Chair:

1 - (2) Improving Multi Step-Ahead Model Prediction through Backward Elimination Method in Multiple Neural Networks Combination
Zainal Ahmad and Rabiatul 'Adawiah Mat Noor

2 - (54) Model Selection Method for AdaBoost Using Formal Information Criteria
Daisuke Kaji and Sumio Watanebe

3 - (137) The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method
Alexandra Scherbart and Tim W. Nattkemper

4 - (224) Investigating Ensemble Weight and Certainty Distributions for Indicating Structural Diversity
Lesedi Melton Masisi, Fulufhelo Vincent Nelwamondo, and Tshilidzi Marwala

5 - (318) Generalisation Performance vs. Architecture Variations in Constructive Cascade Networks
Suisin Khoo and Tom Gedeon



ThM3(5): SPECIAL SESSION Pattern Recognition from Real-world Information by SVM and other Sophisticated Techniques 2
Chair:

1 - (49) Multiobjective Multiclass Soft-Margin Support Vector Machine Maximizing Pair-wise Interclass Margins
Keiji Tatsumi, Ryo Kawachi, Kenji Hayashida, and Tetsuzo Tanino

2 - (68) Functional networks based on pairwise spike synchrony can capture topologies of syanptic connectivity in a local cortical network model
Katsunori Kitano and Kazuhiro Yamada

3 - (128) A Variant of Adaptive Mean Shift-Based Clustering
Fajie Li and Reinhard Klette

4 - (159) Prediction of the O-glycosylation by Support Vector Machines and Semi-supervised Learning
Hirotaka Sakamoto, Yukiko Nakajima, Kazutoshi Sakakibara, Masahiro Ito, and Ikuko Nishikawa

5 - (160) Practical Approach to Outlier Detection Using Support Vector Regression
Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, and Yeboon Yun



ThM4(5): SPECIAL SESSION Computational Models and their Applications in Machine Learning and Pattern Recognition 2
Chair:

1 - (203) Neural Networks for Optimal Form Design of Personal Digital Assistants
Chen-Cheng Wang, Yang-Cheng Lin, and Chung-Hsing Yeh

2 - (218) Firing Rate Estimation Using an Approximate Bayesian Method
Kazuho Watanabe and Masato Okada

3 - (220) Sampling Curve Images to Find Similarities among Parts of Images
Kazunori Iwata and Akira Hayashi

4 - (297) Improving the State Space Organization of Untrained Recurrent Networks
Michal Cernansky, Matej Makula, and Lubica Benuskova

5 - (299) Online Multibody Factorization based on Bayesian Principal Component Analysis of Gaussian Mixture Models
Kentarou Hitomi, Takashi Bando, Naoki Fukaya, Kazushi Ikeda, and Tomohiro Shibata



ThM5(5): Neurodynamics 3
Chair:

1 - (145) On similarity measures for spike trains
Justin Dauwels, Francois Vialatte, Theophane Weber, and Andrzej Cichocki

2 - (148) Relationship between an input sequence and asymmetric connections formed by theta phase precession and STDP
Naoyuki Sato and Yoko Yamaguchi

3 - (149) Analysis of microelectrographic neuronal background in deep brain nuclei in Parkinson disease
Hsiao-Lung Chan, Ming-An Lin, Tony Wu, Pei-Kuang Chao, Shih-Tseng Lee, and Peng-Chuan Chen

4 - (157) Gating Echo State Neural Networks for Time Series Forecasting
Stefan Babinec and Jiri Pospichal

5 - (190) A novel artificial model of spiral ganglion cell and its spike-based encoding function
Hiroyuki Torikai and Toru Nishigami




Panel 2 10:50-12:30 (NZ1-2)


Lunch served, 12:30-13:30

Parallel sessions ThA1 (1,2,3,4,5,6): 13:30-14:30 (6 in parallel, 3 papers in each session)

ThA1-1(3): SPECIAL SESSION Neural Information Processing in Cooperative Multi-Robot Systems 1
Chair:

1 - (105) Neuro-Evolutive system for ego-motion estimation with a 3D camera
Ivan Villaverde, Zelmar Echegoyen, and Manuel Graña

2 - (131) Neuro Granular Networks with Self-learning Stochastic Connections: Fusion of Neuro Granular Networks and Learning Automata Theory
Dario Maravall and Javier de Lope

3 - (141) Using Spiking Neural Networks for the Generation of Coordinated Action Sequences in Robots
Pilar Caamano, Jose Antonio Becerra, Francisco Bellas, and Richard J. Duro



ThA1-2(3): SPECIAL SESSION Computational Models and their Applications in Machine Learning and Pattern Recognition 3
Chair:

1 - (74) Experimental Study of Ergodic Learning Curve in Hidden Markov Models
Masashi Matsumoto and Sumio Watanabe

2 - (81) Design of Exchange Monte Carlo Method for Bayesian Learning in Normal Mixture Models
Kenji Nagata and Sumio Watanabe

3 - (118) Image Filling-in: A Gestalt Approach
Jun Ma



ThA1-3(3): Brain-Computer Interface
Chair:

1 - (120) A Study on Application of Reliability Based Automatic Repeat Request to Brain Computer Interfaces
Hiromu Takahashi, Tomohiro Yoshikawa, and Takeshi Furuhashi

2 - (161) Analysis on saccade-related independent components by various ICA algorithms for developing BCI
Arao Funase, Motoaki Mouri, Yagi Tohru, Andrzej Cichocki, and Ichi Takumi

3 - (316) Policy Gradient Learning of Cooperative Interaction with a Robot Using User’s Biological Signals
Tomoya Tamei and Tomohiro Shibata



ThA1-4(3): Neural Networks and Pattern Recognition 2
Chair:

1 - (6) Partial clustering for tissue segmentation in MRI
Nicolau Gonçalves, Janne Nikkilä, and Ricardo Vigário

2 - (43) Time Series Analysis for Long Term Prediction of Human Movement Trajectories
Sven Hellbach, Julian Eggert, Edgar Körner, and Horst-Michael Gross

3 - (60) Error analysis of a sub-millimeter real-time target recognition system with a moving camera
Vitor Vieira, Gavin Kane, Rüdiger Marmulla, J. Raszkowsky, and Georg Eggers



ThA1-5(3): SPECIAL SESSION Recent Advances in Brain-inspired Technologies for Robotics 2
Chair:

1 - (340) Depth perception using a monocular vision system
XueBing Wang and Kasuo Ishii

2 - (341) Trajectory Planning with Dynamics Constraints for an Underactuated Manipulator
Yuya Nishida and Masahiro Nagamatu

3 - (346) Neural Networks that Mimic the Human Brain. Turing machines that generate 'conscious sensations'
Alan Rosen and David Rosen



ThA1-6(3): Machine Learning
Chair:

1 - (69) On weight-noise-injection training
Kevin Ho, Chi-sing Leung, and John Sum

2 - (98) Office Layout Plan Evaluation System by Multiagent
Takehiro Watanabe and Yuko Osana

3 - (178) Bankruptcy Analysis for Credit Risk using Manifold Learning
Bernardete Ribeiro, A. Vieira, J. Duarte, C. Silva, J. Carvalho de Neves, Q. Liu, and A.H. Sung




Break 14:30-14:40

Parallel sessions ThA2 (1,2,3,4,5,6): 14:40-15:40 (6 in parallel, 3 papers in each session)

ThA2-1: SPECIAL SESSION Neural Information Processing in Cooperative Multi-Robot Systems 2
Chair:

1 - (162) An incremental learning algorithm for optimizing high dimensional ANN-based classification systems
Abrahan Prieto, Francisco Bellas, Richard Duro, and Fernando Lopez Peña

2 - (280) Towards the adaptive control of a multirobot system for an elastic hose
Zelmar Echegoyen, Alicia d'Anjou, and Manuel Grana

3 - (343) Economical Implementation of Control Loops for Multi-Robot Systems
Jose Manuel Lopez-Guede, Ekaitz Zulueta, and Oscar Barambones



ThA2-2(3): SPECIAL SESSION Computational Models and their Applications in Machine Learning and Pattern Recognition 4
Chair:

1 - (165) Sports Video Segmentation Using a Hierarchical Hidden CRF
Hirotaka Tamada and Akira Hayashi

2 - (194) Modeling and Prediction of Nonlinear EEG Signal Using Local SVM Method
Lisha Sun, Lanxin Lin, and Chunhao Lin

3 - (202) Information Geometry of Interspike Intervals in Spiking Neurons with Refractories
Daisuke Komazawa, Kazushi Ikeda, and Hiroyuki Funaya



ThA2-3(3): Neural Networks for Perception 2
Chair:

1 - (129) A Color Image Segmentation using Inhibitory Connected Pulse Coupled Neural Network
Hiroaki Kurokawa, Shuzo Kaneko, and Masato Yonekawa

2 - (184) Generating Saliency Map Related to Motion Based on Self-organized Feature Extracting
Satoru Morita

3 - (303) Intelligent Face Image Retrieval Using Eigenpaxels and Learning Similarity Metrics
Paul Conilione and Dianhui Wang



ThA2-4(3): Neural Network Implementation in Hardware and Software
Chair:

1 - (110) SpiNNaker: The design automation problem
Andrew Brown, David Lester, Luis Plana, Steve Furber, and Peter Wilson

2 - (144) The Deferred-Event Model for Hardware-Oriented Spiking Neural Networks
Alexander Rast, Xin Jin, Mukaram Khan, and Steve Furber

3 - (324) Paticle Swarm Optimization with SIMD-oriented Fast Mersenne Twister on the Cell Broadband Engine
Jun Igarashi, Satoshi Sonoh, and Takanori Koga



ThA2-5(3): Cognitive Neuroscience 5
Chair:

1 - (296) A model of the activity of the hippocampal neurons based on the theory of selective desensitization
Atsuo Suemitsu, Yasuhiro Miyazawa, and Masahiko Morita

2 - (319) EEG-Based Classification of Brain Activity for Brightness Stimuli
Qi Zhang

3 - (327) Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz)
Francois Vialatte, Monique Maurice, Justin Dauwels, and Andrzej Cichocki



ThA2-6(3): Neural Networks Learning Paradigm 4
Chair:

1 - (97) Reinforcement Learning using Kohonen Feature Map Assocaitive Memory with Refractoriness based on Area Representation
Atsushi Shimizu and Yuko Osana

2 - (101) Automatic Model Selection via Corrected Error Backpropagation
Masashi Sekino and Katsumi Nitta

3 - (103) Self-Referential Event Lists for Self-Organizing Modular Reinforcement Learning
Johane Takeuchi, Osamu Shouno, and Hiroshi Tsujino




Coffee served, 15:30-16:00

Parallel sessions ThA3 (1,2,3,4,5,6): 16:00-17:00 (6 in parallel, 3 papers in each session)

ThA3-1(3): Experimental Studies
Chair:

1 - (92) Automatic Plaque Boundary Extraction in Intravascular Ultrasound Image by Fuzzy Inference with Adaptively Allocated Membership Functions
Eiji Uchino, Noriaki Suetake, Takanori Koga, Shohei Ichiyama, Genta Hashimoto, Takafumi Hiro, and Masunori Matsuzaki

2 - (138) Neural mechanism of synchronous firing of inferior temporal cortex in face perception
Kazuhiro Takazawa and Yoshiki Kashimori

3 - (217) Investigating Demographic Influences for HIV Classi
Jaisheel Mistry, Fulufhelo Vincent Nelwamondo, and Tshilidzi Marwala



ThA3-2(3): Optimization and Control
Chair:

1 - (15) Gabor Neural Network based Facial Expression Recognition for Assistive Speech Expression
Bee Theng Lau

2 - (58) Parameter Analysis for Removing the Local Minima of Combinatorial Optimization Problems by Using the Inverse Function Delayed Neural Network
Yoshihiro Hayakawa and Koji Nakajima

3 - (146) Intelligent Control of Single Speed Components in HVAC Systems
Tiong Kie Low and Bee Lau



ThA3-3(3): Neural Network Training 1
Chair:

1 - (304) On The Evaluation Of Synchronized Oriented Mutations Algorithm
Vincent Berenz and Kenji Suzuki

2 - (334) A Back-Propagation Training Method for Multilayer Pulsed Neural Networks using Principle of Duality
Kaname Iwasa, Mauricio Kugler, Susumu Kuroyanagi, and Akira Iwata

3 - (347) Bioinspired parameter tuning of MLP networks for gene expression analysis: quality of fitness estimates vs number of solutions analyzed
André Rossi, Carlos Soares, and André Carvalho



ThA3-4(3): Neural Organization
Chair:

1 - (89) Evolution of Neural Organization in A Hydra-Like Animat
Ben Jones, Yaochu Jin, Xin Yao, and Bernhard Sendhoff

2 - (93) A Neural Network model for a Hierarchical Spatio-Temporal Memory
Kiruthika Ramanathan, Luping Shi, Jianming Li, Kian Guan Lim, Ming Hui Li, Zhi Ping Ang, and Tow Chong Chong

3 - (240) Patterns of Interactions in Complex Social Networks based on Coloured Motifs Analysis
Katarzyna Musiał, Krzysztof Juszczyszyn, Bogdan Gabrys, and Przemyslaw Kazienko



ThA3-5(3): Data Visualization
Chair:

1 - (199) Search-in-Synchrony: personalizing web search with cognitive user profile model
Chandra Shekhar Dhir and Soo-Young Lee

2 - (207) Enhanced visualization by combing SOM and Mixture Models
Ryotaro Kamimura

3 - (298) Boundary Detection from Spectral Information
Jun Ma



ThA3-6(3): Features and Classification
Chair:

1 - (171) Improvement of Practical Recurrent Learning Method and Application into a Pattern Classification Task
Mohamad Faizal Samsudin and Katsunari Shibata

2 - (185) An Automatic Intelligent Language Classifier
Brijesh Verma, Hong Lee, and John Zakos

3 - (242) A Novel Adaptive Resource-Aware PNN Algorithm Based on Michigan-Nested Pittsburgh PSO
Kuncup Iswandy and Andreas Koenig




Break 17:00-17:10

Parallel sessions ThA4 (1,2,3,4,5,6): 17:10-18:10 (6 in parallel, 3 papers in each session)

ThA4-1(3): Information Algebra
Chair:

1 - (106) Bregman Divergences and Multi-dimensional Scaling
Pei Ling Lai and Colin Fyfe

2 - (62) Collective Activations to Generate Self-Organizing Maps
Ryotaro Kamimura

3 - (228) A closed-form estimator of fully visible Boltzmann machines
Jun-ichiro Hirayama and Shin Ishii



ThA4-2(3): Compensation-based Learning
Chair:

1 - (133) Contextual Behaviors and Internal Representations Acquired by Reinforcement Learning with a Recurrent Neural Network in a Continuous State and Action Space Task
Hiroki Utsunomiya and Katsunari Shibata

2 - (191) Improving the Quality of EEG Data in Patients With Alzheimer's Disease Using ICA
Francois-Benoit Vialatte, Jordi Sole-Casals, Monique Maurice, Charles Latchoumane, Nigel Hudson, Sunil Wimalaratna, Jaeseung Jeong, and Andrzej Cichocki

3 - (219) Imputation of Missing Data using PCA, Neuro-Fuzzy and Genetic Algorithms
Nthabiseng Hlalele, Fulufhelo Nelwamondo, and Tshilidzi Marwala



ThA4-3(3): Digital Convergence
Chair:

1 - (243) Neurocognitive Approach to Creativity in the Domain of Word-invention
Maciej Pilichowski and Wlodzislaw Duch

2 - (284) Gender Classification by Combining Facial and Hair Information
Xiao-Chen Lian and Bao-Liang Lu

3 - (315) A Hybrid Fuzzy Approach for Human Eye Gaze Pattern Recognition
Dingyun Zhu, Sumudu Mendis, Tom Gedeon, Akshay Asthana, and Roland Goecke



ThA4-4(3): Motorics
Chair:

1 - (186) Classify Event-Related Motor Potentials of Cued Motor Actions
Somnuk Phon-Amnuaisuk

2 - (332) A Neural Network Based Hierarchical Motor Schema of a Multi-Finger Hand and its Motion Diversity
Eiichi Inohira, Shiori Uota, and Hirokazu Yokoi

3 - (338) Improved Sparse Bump Modeling for Electrophysiological Data
Francois Vialatte, Justin Dauwels, Jordi Sole-Casals, Monique Maurice, and Andrzej Cichocki



ThA4-5(3): Real-World Applications
Chair:

1 - (67) Interactive Trouble Condition Sign Discovery for Hydroelectric Power Plants
Takashi Onoda, Norihiko Ito, and Hironobu Yamasaki

2 - (79) Efficient Neuro-predictive Control of a Chemical Plant
Morteza Mohammadzaheri, Mehdi Ghanbari, Ali Mirsepahi, and Lei Chen

3 - (122) An Asbestos Counting Method from Microscope Images of Building Materials Using Summation Kernel of Color and Shape
Atsuo Nomoto, Kazuhiro Hotta, and Haruhisa Takahashi



ThA4-6(3): Neural Network Training 2
Chair:

1 - (307) Evaluation of Prediction Capability of Non-recursion Type 2nd-order Volterra Neuron Network for Electrocardiogram
Shunsuke Kobayakawa and Hirokazu Yokoi

2 - (354) Sample Filtering Relief Algorithm: Robust Algorithm for Features Selection
Thammakorn Saethang, Santitham Prom-on, Asawin Meechai, and Jonathan H. Chan

3 - (356) Initialization Dependence of Clustering Algorithms
Wim De Mulder, Nicky Van Thuyne, René Boel, and Martin Kuiper



Fri 28.11.


WORKSHOP: Hybrid and Adaptive Systems for Real-time Robotics Vision and Control (Massey University)
Nov 28, Massey University

1 - (116) Bio-Signal Integration for Humanoid Operation: Gesture and Brain Signal Recognition by HMM/SVM-Embedded BN
Yasuo Matsuyama, Fumiya Matsushima, Youich Nishida, Takashi Hatakeyama, Koji Sawada, and Takatoshi Kato

2 - (230) Intelligent Automated Guided Vehicle with Reverse Strategy: A Comparison Study
Shigeru Kato and Kok-Wai Wong

3 - (248) An Improved Modular Neural Network Model for Adaptive Trajectory Tracking Control of Robot Manipulators
Dimitrios Karras

4 - (254) Stream Processing of Geometric and Central Moments using High Precision Summed Area Tables
Chris Messom and Andre Barczak

5 - (259) Bayesian Fusion of Auditory and Visual Spatial Cues during Fixation and Saccade in Humanoid Robot
Wei Kin Wong, Tze Ming Neoh, Chu Kiong Loo, and Chuan Poh Ong

6 - (293) Variable Colour Depth Look-Up Table Based on Fuzzy Colour Processing
Heesang Shin and Napoleon Reyes

7 - (322) Towards A Generalised Hybrid Path-Planning and Motion Control System with Auto-Calibration for Animated Characters in 3D Environments
Antony Gerdelan and Napoleon Reyes

8 - (336) Cultivated Microorganisms Control a Real Robot: A Model of Dynamical Coupling between Internal Growth and Robot Movement
Hiroaki Wagatsuma



WORKSHOP: Neurocomputing and Evolving Intelligence - NCEI'08 (KEDRI)
Nov 28, KEDRI

1 - (8) A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining
Bijan Bihari Misra, Satchidananda Dehuri, and Sung-Bae Cho

2 - (39) FPGA Implementation of an Evolving Spiking Neural Network
Alan Zuppicich and Snjezana Soltic

3 - (84) HyFIS-Yager-gDIC: A Self-organizing Hybrid Neural Fuzzy Inference System Realizing Yager Inference
Sau Wai Tung, Chai Quek, and Cuntai Guan

4 - (100) Parallel Ant Colony Optimizer based on Adaptive Resonance Theory Maps
Hiroshi Koshimizu and Toshimichi Saito

5 - (104) Incremental Learning in the Non-negative Matrix Factorization
Sven Rebhan, Waqas Sharif, and Julian Eggert

6 - (147) Biologically Motivated Object Perception Using Incremental Hierarchical MAX model
Moonhyun Kim, Sang-Woo Ban, and Minho Lee

7 - (168) Covariate Shift and Incremental Learning
Koichiro Yamauchi

8 - (209) A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems
Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Shaoning Pang, and Nikola Kasabov

9 - (281) Soft Sensor based on adaptive local learning
Petr Kadlec and Bogdan Gabrys

10 - (289) Circuit FPGA for Active Rules Selection in a Transition P System Region.
Víctor Martínez, Abraham Gutiérrez, and Luis Fernando de Mingo

11 - (320) Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms
José Everardo Bessa Maia, André L. V. Coelho, and Guilherme A. Barreto

12 - (323) Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio
Seiichi Ozawa, Kazuya Matsumoto, Shaoning Pang, and Nikola Kasabov

13 - (352) Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach
Anju Verma, Nikola Kasabov, Elaine Rush, and Qun Song

14 - (355) Frost Prediction Characteristics and Classification using Computational Neural Networks
Philip Sallis, Mary Jarur, and Marcelo Trujillo

15 - (357) Gene Selection Method based on Personalized Modelling
Yingjie Hu and Nikola Kasabov

16 - (358) Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network
Stefan Schliebs, Michael Defoin Platel, and Nikola Kasabov

17 - (361) Personalised Modelling for Multiple Time-Series Data Prediction:
Harya Widiputra, Russel Pears, and Nikola Kasabov