ICONIP 2008 Technical Programme
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
Chair Prof. N. Kasabov
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)
Chair: N.Kasabov
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)
Chair: M.Ishikawa
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)
Chair: I.King
Prof. Bogdan Gabrys, University of Bournemouth, UK "Self-adapting architecture for building powerful predictive models"(NZ3)
Chair: A.Koenig
Prof. Mike Paulin, Otago University, New Zealand "Attacking Neural Computation with a Virtual Shark" (NZ4)
Chair: M.Koeppen
Coffee served, 15:30-15:50
Parallel sessions TuA1 (1,2,3,4,5,6): 15:50-17:30
TuA1-1: Neurodynamics 1 (NZ1-2)
Chair: J.Wang, R.Costea
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: Cognitive Neuroscience 1 (NZ3)
Chair: L.Benuskova
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: Neural Network Based Semantic Web, Data Mining and Knowledge Discovery 1 (NZ4)
Chair: Russel Pears
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: Neural Networks Learning Paradigm 1 (Marlborough 1)
Chair: G. Coghill
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: Kernel Methods and SVM 1 (Marlborough 2)
Chair: S.Pang
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
TuA1-6: Neural Networks as a Soft Computing Technology (Marlborough 3)
Chair: M.Kordos, Q.Song
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 - (205) Trading Strategy in Foreign Exchange Market using Reinforcement Learning Hierarchical Neuro-Fuzzy Systems
Marcelo Corrêa, Marley Vellasco, Karla Figueiredo, and Pedro Vellasco
5 - (104) Incremental Learning in the Non-negative Matrix Factorization
Sven Rebhan, Waqas Sharif, and Julian Eggert
Break 17:30-17:40
Parallel sessions TuA2 (1,2,3,4,5,6): 17:40-19:00
TuA2-1: Neurodynamics 2 (NZ1-2)
Chair: M. Paulin, K.Doya
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
4 - (289) Circuit FPGA for Active Rules Selection in a Transition P System Region.
Víctor Martínez, Abraham Gutiérrez, and Luis Fernando de Mingo
TuA2-2: Cognitive Neuroscience 2 (NZ3)
Chair: A. Cichocki
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: Neural Network Based Semantic Web, Data Mining and Knowledge Discovery 2 (NZ4)
Chair: I.King
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: Neural Networks Learning Paradigm 2 (Marlborough 1)
Chair: J.Sima
1 - (63) Partially Enhanced Competitive Learning
Ryotaro Kamimura and Kenta Aoyama
2 - (64) Feature Detection by Structural Enhanced Information
Ryotaro Kamimura
3 - (140) Gradient Learning in Networks of Smoothly Spiking Neurons
Jirí Šíma
4- (143) Quantum-Inspired Evolutionary Algorithms Applied to Numerical Optimization Problems
Andre Vargas Abs da Cruz, Marley Vellasco, and Marco Aurelio Pacheco
TuA2-5: Kernel Methods and SVM 2 (Marlborough 2)
Chair: Armando Vieira, S.Pang
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: Neural Networks and Pattern Recognition 1 (Marlborough 3)
Chair: Lipo Wang
1 - (10) Happy-sad Expression Recognition Using Emotion Geometry Feature and Support Vector Machine
Linlu Wang, Xiaodong Gu, Yuanyuan Wang, and Liming Zhang
2 - (14) A New Principal Axis Based Line Symmetry Measurement and its Application to Clustering
Sanghamitra Bandyopadhyay and Sriparna Saha
3 - (76) Class-dependent Feature Selection for Face Recognition
Zhou Nina and Lipo Wang
4 – (3) Application of mnSOM on Linking External Exposure to Internal Load
Stefan Roeder, Matthias Richter, and Olf Herbarth
APNNA Board meeting (19:00 -22:00) (Sky City Convention centre)
Wed 26.11.
Plenary 2 8:50-9:40
Prof. Shun-ichi Amari, RIKEN Brain Science Institute, Japan (NZ1-2)
Chair: N.Kasabov
Prof. Alessandro Villa, University of Grenoble, France "Preferred Firing Sequences in Cerebral Neural Networks: from Experimental Evidence to a Dynamical Systems Perspective" (NZ3)
Chair: G.Coghill
Invited 2 9:50-10:30
Prof. Richard Duro, Universidade da Coruna, Spain "Robots, Cognition, Neurons and Evolution" (NZ1-2)
Chair: A.Leon
Prof. Sung-Bae Cho, Yonsei University, Korea "Softcomputing works in Ubiquitous Environments" (NZ3)
Chair: K.Yoshida
Prof. Ajit Narayanan, Auckland University of Technology, New Zealand "Whatever happened to quantum neural networks?" (NZ4)
Chair: T.Gedeon
Coffee served: 10:30-10:50
Parallel sessions WM (1,2,3,4,5) 10:50: 12:30 + Panel 1
WeM-1: SPECIAL SESSION Data Mining Methods for Cybersecurity 1 (NZ3)
Chair:Youki Kadobayashi and Tao Ban
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
WeM-2: Neuromorphic Hardware and Embedded Neural Networks (NZ4)
Chair: M.Kugler, S.Soltic
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
5 - (294) The Generalized Product Neuron Model in Complex Domain
Bipin Kumar Tripathi, Bala Chandra, and Prem Kumar Kalra
WeM-3: Cognitive Neuroscience 3 (Marlb 1)
Chair: T.Mariyama, S.Schliebs
1 - (213) Towards a comparative theory of the primates’ tool-use behavior
Toshisada Mariyama and Hideaki Itoh
2 - (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
3 - (229) Significance for Hippocampal Memory of Context-like Information Generated in Hippocampal CA3c
Toshikazu Samura, Motonobu Hattori, Shinichi Kikuchi, and Shun Ishizaki
4 - (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
WeM-4: SPECIAL SESSION Computational Models and their Applications in Machine Learning and Pattern Recognition 1 (Marlb 2)
Chair: Soo-Yong Lee
1 - (16) A Chaotic Neuro-GA Synergism for Solving Maximum Fuzzy Clique Problem
Sanghamitra Bandyopadhyay and Malay Bhattacharyya
2 - (36) Hybrid Feature Selection: combining Fisher Criterion and Mutual Information for efficient feature selection
Chandra Shekhar Dhir and Soo-Young Lee
3 - (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
4 - (52) An Analysis of Generalization Error in Relevant Subtask Learning
Keisuke Yamazaki and Samuel Kaski
5 - (230) Intelligent Automated Guided Vehicle with Reverse Strategy: A Comparison Study
Shigeru Kato and Kok-Wai Wong
WeM-5: Bioinformatics 1 (Marlborough 3)
Chair: D.Mandic, A.Carvalho
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
Panel 1 10:50-12:30 (NZ1-2)
“Neural network methods and techniques: The present and the future “
This panel aims to discuss the current and future trends in neural network methods and techniques. Each panelist is a renowned expert so the discussion will be focused on what is the current hot topics and what will the future hold in their respective disciplines. The disciplines include but not limited to neurobiology, neurosciences, connectionism & cognitive science, statistical learning theory, hybrid methods, fuzzy systems, quantum computing, etc. The discussion topics include: What are some of the current hot topics and why are they interesting? What are some of the current controversial issues and why are they important? What are some of the upcoming and emerging topics that we should be aware of and why are they significant?
Each panelist will give a 10-minutes introduction on the panel topic in his discipline. After the presentations from all panelists, there will be an open mic session with the audience.
Moderator: Irwin King, The Chinese University of Hong Kong, Hong Kong
Panelists (to be confirmed)
Dr. Kenji Doya,Okinawa Institute of Science and Technology, Japan
Prof. Mika Hirvensalo, University of Turku, Finland
Prof. Nik Kasabov, Auckland University of Technology, New Zealand
Prof. Gary Marcus, Department of Psychology, New York University
Prof. Alessandro Villa, University of Grenoble, France
Prof. XU Lei, Chinese University of Hong Kong and Beijing University, China
Prof. Takeshi Yamakawa, Kyushu Institute of Technology, Japan
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)
Chair: N.Kasabov
Prof. Vladimir Brusic, “US "Pattern Recognition in Vaccine Discovery" (NZ3), Dana-Farber Cancer Institute, Harvard University
Chair: S.McDonell
Invited 3 14:30-15:10
Prof. Wlodzislaw Duch, Nicholaus Copernicus University, Poland "Neurocognitive approach to natural language understanding and creativity" (NZ1-2)
Chair: M.Paulin
Prof. Youki Kadobayashi, National Iinstitute of Information and Communications Technology, Japan "Cybersecurity: a new problem domain for computational intelligence" (NZ3)
Chair: M.Koeppen
Prof. Gary Marcus, Department of Psychology, New York University (NZ4)
Chair: A.Villa
Coffee served, 15:10-15:30
Parallel sessions WA1 (1,2,3,4,5): 15:30-16:50
WeA1-1: SPECIAL SESSION Recent Advances in Brain-inspired Technologies for Robotics 1 (NZ1-2)
Chair: Masanori Sato, K. Horio
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: SPECIAL SESSION: Lifelong Incremental Learning for Intelligent Systems (NZ3)
Chair: S.Ozawa
1 - (108) A Vector Quantization Approach for Life-Long Learning of Categories
Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, and Edgar Körner
2 - (109) An Integrated System for Incremental Learning of Multiple Visual Categories
Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, and Edgar Körner
3 - (208) A Neural Network Model for Sequential Multitask Pattern Recognition Problems
Hitoshi Nishikawa, Seiichi Ozawa, and Asim Roy
4 - (75) Automatic Discovery of Subgoals in Reinforcement Learning using Strongly Connected Components
Seyed Jalal Kazemitabar and Hamid Beigy
WeA1-3: Cognitive Neuroscience 4 (NZ4)
Chair: S.Ishii, Takeshi Yamakawa
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 - (348) On Efficient Content based Information Retrieval using SVM and higher order correlation analysis
Dimitrios Karras
WeA1-4: SPECIAL SESSION Dynamics of Neural Networks 1 (Marlb 1)
Chair: T.Saito
1 - (83) Bifurcation and Windows in a Simple Piecewise Linear Chaotic Spiking Neuron
Tomonari Hasegawa and Toshimichi Saito
2 - (95) Bifurcation between Superstable Periodic Orbits and Chaos in a Simple Spiking Circuit
Yuji Kawai and Toshimichi Saito
3 - (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: SPECIAL SESSION Applications of Intelligent Methods in Ecological Informatics (Marlb 2)
Chair: S.Worner, M.Watts
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): 17:00-18:00
WeA2-1: SPECIAL SESSION Data Mining Methods for Cybersecurity 2 (NZ3)
Chair: T.Ban, S.Pang
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 - (206) A Multi-layered Approach to Hand and Face Tracking and Gesture Recognition
Farhad Dadgostar, Hossein Sarrafzadeh, and Chris Messom
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: Neural Networks Learning Paradigm 3 (NZ4)
Chair: K. Hagivara, P.Hwang
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: Neural Networks for Perception 1 (Marlborough 1)
Chair: Minho Lee
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: SPECIAL SESSION Dynamics of Neural Networks 2 (Marlb 2)
Chair: Y.Yamaguchi, Q.Song
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 - (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
WeA2-5: Bioinformatics 2 (Marlb3)
Chair: A. Scherbart, R.Hu
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
Poster session: 18:00 -19:00
Poster Session (Foyer)
Chair: S.Pang, M.Tsukada, L.Ma
1 - (51) A New ART-LMS Neural Network for the Image Restoration
Tzu-Chao Lin and Mu-kun Liu
2 - (223) Motion Vehicle Recognition and Tracking in the Complex Environment
Tao Gao
3 - (241) Genetic versus Nearest-Neighbor Imputation of Missing Attribute Values for RBF Networks
Pedro de Oliveira and André Coelho
4 - (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
5 - (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
6 - (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
7 - (321) DNA Computing Hardware Design and Application to Multiclass Cancer Data
Sun-Wook Choi and Chong Ho Lee
8 - (329) Computer Aided Diagnosis of Alzheimer Disease Using Support Vector Machines and Classification Trees
Diego Salas-Gonzalez, Juan Manuel Górriz, Javier RamÃrez, Miriam López, and Ignacio Ãlvarez
9 - (26) Combination of Dynamic Reservoir and Feedforward Neural Network for Time Series Forecasting
Stefan Babinec and Jiri Pospichal
10 - (300) Facial Expression Recognition Techniques Using Constructive Feedforward Neural Networks and K-Means Algorithm
Liying Ma
11 - (325) Global minimization of the Projective Nonnegative Matrix Factorization
Zhijian Yuan
12 - (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
13 - (335) Learning Sparse Representations Using a Parametric Cauchy Density
Ling-zhi Liao, Si-wei Luo, and Ya-ping Huang
14 - (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
15 - (7) Learning non-adjacent dependencies with a recurrent neural network
Igor Farkas
16 - (55) Caller interaction classification: A comparison of real and binary coded GA-MLP techniques.
Pretesh Patel and Tshilidzi Marwala
17 - (71) On node-fault-injection training an RBF network
John Sum, Chi-sing Leung, Li-pin Hsu, and Kevin Ho
18 - (111) Improving Personal Credit Scoring with HLVQ-C
Armando Vieira
19 - (163) Using Optimality to Predict Photoreceptor Distribution in the Retina
Travis Monk and Chris Harris
20 - (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
21 - (204) Optical Imaging of Plastic Changes Induced by Fear Conditioning in The Auditory Cortex of Guinea Pig
Yoshinori Ide, Johan Lauwereyns, and Minoru Tsukada
22 - (306) Possibility of Cantor coding by spatial input patterns
Yasuhiro Fukushima, Minoru Tsukada, Ichiro Tsuda, Yutaka Yamaguti, and Shigeru Kuroda
23 - (285) A Robust Technique for Background Subtraction in Traffic Video
Tao Gao, Zheng-guang Liu, Wen-chun Gao, and Jun Zhang
24 - (334) A Back-Propagation Training Method for Multilayer Pulsed Neural Networks using Principle of Duality
Kaname Iwasa, Mauricio Kugler, Susumu Kuroyanagi, and Akira Iwata
25 - (350) Revisiting the problem of weight initialization for Multi-Layer Perceptrons trained with Back Propagation
Stavros Adam, Dimitrios Karras, and Michael Vrahatis
26 - (40) Agent Genetic Algorithm Based Multi-Criteria Feature Selection Algorithm
Yongming Li and Xiaoping Zeng
27 - (44) Feature Selection Method with Multi-Population Agent Genetic Algorithm
Yongming Li and Xiaoping Zeng
28 - (79) Efficient Neuro-predictive Control of a Chemical Plant
Morteza Mohammadzaheri, Mehdi Ghanbari, Ali Mirsepahi, and Lei Chen
29 - (91) Office Layout Support System Considering Floor Using Interactive Genetic Algorithm
Ryota Tachikawa and Yuko Osana
30 - (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
31 - (98) Office Layout Plan Evaluation System by Multiagent
Takehiro Watanabe and Yuko Osana
32 - (117) Gabor Filters as Feature Images for Covariance Matrix on Texture Classification Problem
Jing Yi Tou, Yong Haur Tay, and Phooi Yee Lau
33 - (146) Intelligent Control of Single Speed Components in HVAC Systems
Tiong Kie Low and Bee Lau
34 - (174) Pulse-Type Hardware Neural Network with Two Time Windows in STDP
Katsutoshi Saeki, Ryo Shimizu, and Yoshifumi Sekine
35 - (217) Investigating Demographic Influences for HIV Classi
Jaisheel Mistry, Fulufhelo Vincent Nelwamondo, and Tshilidzi Marwala
36 - (21) Architecture of Knowledge-based Function Approximator
Osman Hassab Elgawi
37 - (22) Scalable Incremental Learning of Object Recognition
Osman Hassab Elgawi
38 – (313) A Hybrid Model for Prediction of Peptide Binding to MHC Molecules
Ping Zhang, Vladimir Brusic
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)
Chair: N.Kasabov
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)
Chair: P.Pang
Prof. Mika Hirvensalo, University of Turku, Finland “Quantum and neural perspectives” (NZ4)
Chair: M.Koeppen
Invited 4 9:50-10:30
Prof. Jun Wang, Chinese University of Hong Kong “Neurodynamic Optimization: New Models and Their K-winners-take-all Applications” (NZ1-2)
Chair: R.Duro
Dr. Yaochu Jin, Honda Research Institute Europe, Germany "Computational Modeling of Gene Regulatory Networks: Analysis, Synthesis and Applications" (NZ3)
Chair: W.Duch
Prof. Reinhard Klette, University of Auckland, New Zealand "Stereo Analysis of Real-World Image Sequences" (NZ4)
Chair: K.Yoshida
Coffee served: 10:30-10:50
Parallel sessions ThM (1,2,3,4,5) 10:50-12:30 (5 parallel sessions) + Panel 2
SPECIAL SESSION
ThM1: Pattern Recognition from Real-world Information by SVM and other Sophisticated Techniques 1 (NZ3)
Chair: S. Abe, S.Pang
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
ThM2: Ensemble Methods for Neural Network (NZ4)
Chair: T.Gedeon
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 - (318) Generalisation Performance vs. Architecture Variations in Constructive Cascade Networks
Suisin Khoo and Tom Gedeon
5 – (246) Virtual Fence for a Surveillance System
Yen San Yong, Hock Woon Hon, Yasir Salih Osman, Ching Hau Chan, Siu Jing Then, Sheau Wei Chau
ThM3: SPECIAL SESSION Pattern Recognition from Real-world Information by SVM and other Sophisticated Techniques 2 (Marlb 1)
Chair: I.Nishikawa
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 - (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
4 - (160) Practical Approach to Outlier Detection Using Support Vector Regression
Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, and Yeboon Yun
5 - (128) A Variant of Adaptive Mean Shift-Based Clustering
Fajie Li and Reinhard Klette
ThM4: SPECIAL SESSION Computational Models and their Applications in Machine Learning and Pattern Recognition 2 (Marlb 2)
Chair: L.Benuskova
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: Neurodynamics 3 (Marlb 3)
Chair: A.Cichocki, Y.Yamaguchi
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)
“Neural Network Applications: The Present and the Future”
Conveners: M.Vellasco, A.Carvalho
Lunch served, 12:30-13:30
Parallel sessions ThA1 (1,2,3,4,5): 13:30-14:30 + Panel 3
Panel title "Neural network applications: The present and the future":
Organisers: M.Vellasco, A. de Carvalho
Panelists:
Jonathan Chan, Thailand
Wlodzislaw Duch, Poland
Richard Duro, University of Coruna, Spain
Irwin King, Hong Kong
Andreas Koenig, Germany
Takeshi Yamakawa, Japan
Topics:
- Robot related applications
- Neuroevolution
- Biomedical bioinformatics
- Neural network in distributed, potentially wireless and power-constrained sensor networks
- Social Computing
ThA1-1: SPECIAL SESSION Neural Information Processing in Cooperative Multi-Robot Systems 1 (NZ3)
Chair: R.Duro, Y.Jin
1 - (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
2 - (105) Neuro-Evolutive system for ego-motion estimation with a 3D camera
Ivan Villaverde, Zelmar Echegoyen, and Manuel Grana
3 - (131) Neuro Granular Networks with Self-learning Stochastic Connections: Fusion of Neuro Granular Networks and Learning Automata Theory
Dario Maravall and Javier de Lope
ThA1-2: SPECIAL SESSION Computational Models and their Applications in Machine Learning and Pattern Recognition 3 (NZ4)
Chair: M.Matsumoto, W.Duch
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: Brain-Computer Interface (Marlb 1)
Chair: A.Cichocki, T.Furuhashi
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: Neural Networks and Pattern Recognition 2 (Marlb 2)
Chair: J.Wang, S.Pang
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: SPECIAL SESSION Recent Advances in Brain-inspired Technologies for Robotics 2 (Marlb 3)
Chair: Masanori Sato, K. Horio
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
Panel 3 13:30-14:40 (NZ1-2)
“NN: Conducting and publishing research in different parts of the world“
This panel aims to discuss how to conduct, publish, and promote research work in various parts of the world. The discussion topics may include: Why should we publish regionally? What are some of the unique advantages and disadvantages in publishing in a local region vs. other parts of the world? What are the best ways for me to publish my work? How do I promote to my peers locally and globally?
Each panelist will give a 10-minutes introduction on the panel topic in his discipline. After the presentations from all panelists, there will be an open session with the audience.
Moderator: Irwin King, The Chinese University of Hong Kong, Hong Kong
Panelists (to be confirmed)
Prof. Wlodzislaw Duch, Nicholaus Copernicus University, Poland
Prof. Tom Gedeon, Australian National University, Australia
Prof. Masumi Ishikawa, Kyushu Institute of Technology, Japan
Prof. Nik Kasabov, Auckland University of Technology, New Zealand
Prof. Soo-Young Lee, KAIST, Korea
Break 14:30-14:40
Parallel sessions ThA2 (1,2,3,4,5,6): 14:40-15:40
ThA2-1: SPECIAL SESSION Neural Information Processing in Cooperative Multi-Robot Systems 2 (NZ1-2)
Chair: R.Duro
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, Manuel Graña, Ekaitz Zulueta, and Oscar Barambones
ThA2-2: SPECIAL SESSION Computational Models and their Applications in Machine Learning and Pattern Recognition 4 (NZ3)
Chair: B. Ribeiro
1 - (165) Sports Video Segmentation Using a Hierarchical Hidden CRF
Hirotaka Tamada and Akira Hayashi
2 - (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
3 - (202) Information Geometry of Interspike Intervals in Spiking Neurons with Refractories
Daisuke Komazawa, Kazushi Ikeda, and Hiroyuki Funaya
ThA2-3: Neural Networks for Perception 2 (NZ4)
Chair: S. Pang, S.Morita
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: Neural Network Implementation in Hardware and Software (Marlb 1)
Chair: S.Schliebs, T.Koga
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: Cognitive Neuroscience 5 (Marlb 2)
Chair: A.Cichocki
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: Neural Networks Learning Paradigm 4 (Marlb 3)
Chair: R.Hu, M.Sekino
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
ThA3-1: Experimental Studies (NZ 1-2)
Chair: Takanori Koga
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 - (69) On weight-noise-injection training
Kevin Ho, Chi-sing Leung, and John Sum
3 - (308) An Improved Genetic Algorithm for DNA Motif Discovery with Public Domain Information
Xi Li and Dianhui Wang
ThA3-2: Optimization and Control (NZ3)
Chair: M.Vellasco
1 - (146) Intelligent Control of Single Speed Components in HVAC Systems
Tiong Kie Low and Bee Lau
2 - (15) Gabor Neural Network based Facial Expression Recognition for Assistive Speech Expression
Bee Theng Lau
3 - (245) Investigations into Particle Swarm Optimization for Multi-Class Shape Recognition
Ee Lee Ng , Mei Kuan Lim, Tomas Henrique Maul, Weng Kin Lai
ThA3-3: Neural Network Training 1 (NZ4)
Chair: A.Carvalho, J.Chan
1 - (304) On The Evaluation Of Synchronized Oriented Mutations Algorithm
Vincent Berenz and Kenji Suzuki
2 - (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
3 - (354) Sample Filtering Relief Algorithm: Robust Algorithm for Features Selection
Thammakorn Saethang, Santitham Prom-on, Asawin Meechai, and Jonathan H. Chan
ThA3-4: Neural Organization (Marlb 1)
Chair: Y.Jin, B.Gabrys
1 - (89) Evolution of Neural Organization in A Hydra-Like Animat
Ben Jones, Yaochu Jin, Xin Yao, and Bernhard Sendhoff
2 - (240) Patterns of Interactions in Complex Social Networks based on Coloured Motifs Analysis
Katarzyna Musia³, Krzysztof Juszczyszyn, Bogdan Gabrys, and Przemyslaw Kazienko
3 - (356) Initialization Dependence of Clustering Algorithms
Wim De Mulder, Nicky Van Thuyne, René Boel, and Martin Kuiper
ThA3-5: Data Visualization (Marlb 2)
Chair: Soo-Yong Lee
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: Features and Classification (Marlb 3)
Chair: A.Koenig, B.Verma
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
ThA4-1: Information Algebra (NZ1-2)
Chair: C.Fyfe, S.Ishi
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: Compensation-based Learning (NZ3)
Chair: A. Cichocki
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 - (219) Imputation of Missing Data using PCA, Neuro-Fuzzy and Genetic Algorithms
Nthabiseng Hlalele, Fulufhelo Nelwamondo, and Tshilidzi Marwala
3 - (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
ThA4-3: Digital Convergence (NZ4)
Chair: W.Duch, T.Gedeon
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: Motorics (Marlb 1)
Chair: S.Pang
1 - (338) Improved Sparse Bump Modeling for Electrophysiological Data
Francois Vialatte, Justin Dauwels, Jordi Sole-Casals, Monique Maurice, and Andrzej Cichocki
2 - (186) Classify Event-Related Motor Potentials of Cued Motor Actions
Somnuk Phon-Amnuaisuk
3 - (332) A Neural Network Based Hierarchical Motor Schema of a Multi-Finger Hand and its Motion Diversity
Eiichi Inohira, Shiori Uota, and Hirokazu Yokoi
ThA4-5: Real-World Applications (Marlb2)
Chair: Q.Song, T.Onoda
1 - (67) Interactive Trouble Condition Sign Discovery for Hydroelectric Power Plants
Takashi Onoda, Norihiko Ito, and Hironobu Yamasaki
2 - (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
3 - (307) Evaluation of Prediction Capability of Non-recursion Type 2nd-order Volterra Neuron Network for Electrocardiogram
Shunsuke Kobayakawa and Hirokazu Yokoi
Friday, 28.11.
WORKSHOP: Hybrid and Adaptive Systems for Real-time Robotics Vision and Control
Nov 28, 9:00-13:00, Massey University, Albany, Auckland
Chair: N.Reyes
Invited Speakers:
Keynote Speech: "Segmentation and curiosity as origins of intelligence"
Professor Masumi Ishikawa
Latest Innovations on Honda's ASIMO Humanoid Robot - Stephan Kirstein
Tutorial on Adaptive Robotics - Pitoyo Hartono
Tutorial on Real-Time Vision Using OpenCV - Martin Johnson
1 - (248) An Improved Modular Neural Network Model for Adaptive Trajectory Tracking Control of Robot Manipulators
Dimitrios Karras
2 - (293) Variable Colour Depth Look-Up Table Based on Fuzzy Colour Processing
Heesang Shin and Napoleon Reyes
3 - (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
4 - (336) Cultivated Microorganisms Control a Real Robot: A Model of Dynamical Coupling between Internal Growth and Robot Movement
Hiroaki Wagatsuma
5 - (254) Stream Processing of Geometric and Central Moments using High Precision Summed Area Tables
Chris Messom and Andre Barczak
6 - (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
7 - (142) Solving the Online SLAM Problem With an Omnidirectional Vision System
Guizilini Vitor, Okamoto Jun Jr
WORKSHOP: Neurocomputing and Evolving Intelligence - NCEI'08 (KEDRI)
Nov 28, Auckland University of Technology, Wellesley Campus, WA220, Auckland City
Session 1: 9:30-11:00
Chairs: N.Kasabov, Q.Song, S.Pang
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 - (147) Biologically Motivated Object Perception Using Incremental Hierarchical MAX model
Moonhyun Kim, Sang-Woo Ban, and Minho Lee
6 - (168) Covariate Shift and Incremental Learning
Koichiro Yamauchi
7 - (209) A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems
Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Shaoning Pang, and Nikola Kasabov
8 - (281) Soft Sensor based on adaptive local learning
Petr Kadlec and Bogdan Gabrys
9 - (320) Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms
José Everardo Bessa Maia, André L. V. Coelho, and Guilherme A. Barreto
Coffee served, 11:11:30
Session 2: 11:30-13:00
10 - (317) RBF NN Based Adaptive PI Control of Brushless DC Motor
jie xiu
11 - (73) A reinforcement learning using a scheduled tile coding
Youhei Kajimoto and Masaharu Adachi
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) Personalized Modeling based Gene Selection for Microarray Data Analysis
Yingjie Hu, Qun Song, 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
18 - (362) Dynamic neural fuzzy inference system
Yuan-Chun (Peter) Hwang and Qun Song
WORKSHOP: Neural computation for motion tracking in biological and biomorphic systems
Nov 28, 13:00-19:0, followed by dinner, University of Otago, Dunedin
Chairs: Prof. Mike Paulin
