16. ICONIP 2009: Bangkok, Thailand

Cognitive Science and Computational Neuroscience

• Ying Yu, Bin Wang, LiMing Zhang:
  Hebbian-Based Neural Networks for Bottom-Up Visual Attention Systems. 1-9
  
• Hanying Zhou, Yongji Wang, Jiangshuai Huang:
  Modeling of Cortical Signals Using Optimized Echo State Networks with Leaky Integrator Neurons. 10-18
  
• Kenji Aoki, Hiroki Takahashi, Hideaki Itoh, Kiyohiko Nakamura:
  Comparison of Near-Threshold Characteristics of Flash Suppression and Forward Masking. 19-25
  
• Tanvir Islam, Yoko Yamaguchi:
  Some Computational Predictions on the Possibilities of Three-Dimensional Properties of Grid Cells in Entorhinal Cortex. 26-33
  
• Uwe Friederich, Daniel Coca, Stephen A. Billings, Mikko Juusola:
  Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors. 34-48
  
• Naoyuki Sato:
  A Computational Model of Spatial Imagery Based on Object-Centered Scene Representation. 49-56
  
• Zhuoyi Song, Daniel Coca, Stephen A. Billings, Marten Postma, Roger C. Hardie, Mikko Juusola:
  Biophysical Modeling of a Drosophila Photoreceptor. 57-71
  
• S. Waqar Jaffry, Jan Treur:
  Comparing a Cognitive and a Neural Model for Relative Trust Dynamics. 72-83
  
• Shiro Usui, Keiichiro Inagaki, Takayuki Kannon, Yoshimi Kamiyama, Shunji Satoh, Nilton Liuji Kamiji, Yutaka Hirata, Akito Ishihara, Hayaru Shouno:
  A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling. 84-90
  

Neurodynamics

• Lahcen Ouarbya, Derrick Takeshi Mirikitani:
  Modeling Geomagnetospheric Disturbances with Sequential Bayesian Recurrent Neural Networks. 91-99
  
• Emad A. M. Andrews, Anthony J. Bonner:
  Finding MAPs Using High Order Recurrent Networks. 100-109
  
• Takuto Naito, Keisuke Yamazaki:
  A Study on Bayesian Learning of One-Dimensional Linear Dynamical Systems. 110-117
  
• Masao Takiguchi, Toshimichi Saito:
  Decoding Characteristics of D/A Converters Based on Spiking Neurons. 118-125
  
• Vijanth S. Asirvadam:
  Separable Recursive Training Algorithms with Switching Module. 126-134
  
• Lucian Alecu, Hervé Frezza-Buet:
  Application-Driven Parameter Tuning Methodology for Dynamic Neural Field Equations. 135-142
  
• Kantaro Fujiwara, Kazuyuki Aihara, Hideyuki Suzuki:
  Interspike Interval Statistics Obtained from Non-homogeneous Gamma Spike Generator. 143-150
  

Mathematical Modeling and Analysis

• Guoli Ji, Congting Ye, Zijiang Yang, Zhenya Guo:
  A Novel Method for Progressive Multiple Sequence Alignment Based on Lempel-Ziv. 151-158
  
• Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano:
  Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation. 159-166
  
• Naoyuki Harada, Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano:
  A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution. 167-174
  
• Yoonseop Kang, Seungjin Choi:
  Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection. 175-184
  
• Shun-ichi Amari:
  Divergence, Optimization and Geometry. 185-193
  
• Tingwen Huang, Zhigang Zeng:
  Robust Stability of Fuzzy Cohen-Grossberg Neural Networks with Delays. 194-203
  
• Yoshitatsu Matsuda, Kazunori Yamaguchi:
  An Adaptive Threshold in Joint Approximate Diagonalization by the Information Criterion. 204-211
  
• Yang Xu, Lu Xu, Tommy W. S. Chow, Anthony Shi-Sheung Fong:
  PPoSOM: A Multidimensional Data Visualization Using Probabilistic Assignment Based on Polar SOM. 212-220
  
• Qibin Zhao, Cesar F. Caiafa, Andrzej Cichocki, Liqing Zhang, Anh Huy Phan:
  Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains. 221-228
  
• Allan David Garcia de Araujo, Adrião Duarte Dória Neto, Allan de Medeiros Martins:
  Stereo Map Surface Calculus Optimization Using Radial Basis Functions Neural Network Interpolation. 229-236
  
• Camille Besse, Brahim Chaib-draa:
  Quasi-Deterministic Partially Observable Markov Decision Processes. 237-246
  
• Shengli Song, Xiaofei Qiao, Ping Chen:
  Hierarchical Text Classification Incremental Learning. 247-258
  
• Song Zhu, Yi Shen, Guici Chen:
  Robust Stability of Stochastic Neural Networks with Interval Discrete and Distributed Delays. 259-266
  
• Fabiana Cristina Bertoni, Ivan Nunes da Silva:
  Hybrid Hopfield Architecture for Solving Nonlinear Programming Problems. 267-276
  
• Deng-yu Qiao, Chi-Sing Leung, Pui-Fai Sum:
  Fault Tolerant Regularizers for Multilayer Feedforward Networks. 277-284
  
• Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
  Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals. 285-292
  
• Yubin Zhan, Jianping Yin:
  Robust Local Tangent Space Alignment. 293-301
  
• Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, Yoonsuck Choe:
  Probabilistic Combination of Multiple Evidence. 302-311
  
• Younghee Kim, Joonsuk Ryu, Ungmo Kim:
  FIA: Frequent Itemsets Mining Based on Approximate Counting in Data Streams. 312-322
  
• Anh Huy Phan, Andrzej Cichocki:
  Advances in PARAFAC Using Parallel Block Decomposition. 323-330
  
• Arman Melkumyan, Eric Nettleton:
  An Observation Angle Dependent Nonstationary Covariance Function for Gaussian Process Regression. 331-339
  

Kernel and Related Methods

• Weidong Jiao, Shixi Yang, Yongping Chang:
  DOA Estimation of Multiple Convolutively Mixed Sources Based on Principle Component Analysis. 340-348
  
• Qingjiu Zhang, Shiliang Sun:
  Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification. 349-356
  
• Guoqing Liu, Suiping Zhou, Daming Shi:
  The Optimization of Kernel CMAC Based on BYY Learning. 357-364
  
• Choong Hwan Choi, Jae-Kwon Yoo, Soo-Young Lee:
  Closest Source Selection Using IVA and Characteristic of Mixing Channel. 365-372
  
• Huaiying Xia, Ping Guo:
  Decomposition Mixed Pixels of Remote Sensing Image Based on 2-DWT and Kernel ICA. 373-380
  
• Dongmin Jeong, Kweon Son, Yonggon Lee, Minho Lee:
  Echo Energy Estimation in Active Sonar Using Fast Independent Component Analysis. 381-388
  
• Zhi-Qiang Zeng, Ji Gao:
  Improving SVM Classification with Imbalance Data Set. 389-398
  
• Boguslaw Cyganek:
  Framework for Object Tracking with Support Vector Machines, Structural Tensor and the Mean Shift Method. 399-408
  
• Arao Funase, Motoaki Mouri, Andrzej Cichocki, Ichi Takumi:
  Suitable ICA Algorithm for Extracting Saccade-Related EEG Signals. 409-416
  

Learning Algorithms

• Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
  Learning of Mahalanobis Discriminant Functions by a Neural Network. 417-424
  
• Xin Jin, Alexander D. Rast, Francesco Galluppi, Muhammad Mukaram Khan, Steve Furber:
  Implementing Learning on the SpiNNaker Universal Neural Chip Multiprocessor. 425-432
  
• Patrick Dallaire, Camille Besse, Brahim Chaib-draa:
  Learning Gaussian Process Models from Uncertain Data. 433-440
  
• Christian de Peretti, Carole Siani, Mario Cerrato:
  A Bootstrap Artificial Neural Network Based Heterogeneous Panel Unit Root Test in Case of Cross Sectional Independence. 441-450
  
• Fady Alnajjar, Abdul Rahman Hafiz, Kazuyuki Murase:
  A Novel Hierarchical Constructive BackPropagation with Memory for Teaching a Robot the Names of Things. 451-459
  
• Selcuk Sevgen, Eylem Yucel, Sabri Arik:
  Cellular Neural Networks Template Training System Using Iterative Annealing Optimization Technique on ACE16k Chip. 460-467
  
• Hiroki Mima, Kazushi Ikeda, Tomohiro Shibata, Naoki Fukaya, Kentarou Hitomi, Takashi Bando:
  Estimation of Driving Phase by Modeling Brake Pressure Signals. 468-475
  
• Daisuke Kaji, Sumio Watanabe:
  Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes. 476-483
  
• Gouhei Tanaka, Kazuyuki Aihara:
  Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks. 484-493
  
• John Sum, Kevin Ho:
  SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training. 494-501
  
• Matthieu Geist, Olivier Pietquin, Gabriel Fricout:
  Tracking in Reinforcement Learning. 502-511
  
• Diego Silveira Costa Nascimento, André L. V. Coelho:
  Ensembling Heterogeneous Learning Models with Boosting. 512-519
  
• Tadahiro Oyama, Hillary Kipsang Choge, Stephen Karungaru, Satoru Tsuge, Yasue Mitsukura, Minoru Fukumi:
  Improvement Algorithm for Approximate Incremental Learning. 520-529
  
• Kunikazu Kobayashi, Hiroyuki Mizoue, Takashi Kuremoto, Masanao Obayashi:
  A Meta-learning Method Based on Temporal Difference Error. 530-537
  
• Anh Huy Phan, Andrzej Cichocki:
  Local Learning Rules for Nonnegative Tucker Decomposition. 538-545
  
• Guénaël Cabanes, Younès Bennani:
  Comparing Large Datasets Structures through Unsupervised Learning. 546-553
  
• Pawalai Kraipeerapun, Somkid Amornsamankul, Chun Che Fung, Sathit Nakkrasae:
  Applying Duo Output Neural Networks to Solve Single Output Regression Problem. 554-561
  
• Seiichi Ozawa, Keisuke Okamoto:
  An Incremental Learning Algorithm for Resource Allocating Networks Based on Local Linear Regression. 562-569
  
• Somnuk Phon-Amnuaisuk:
  Learning Cooperative Behaviours in Multiagent Reinforcement Learning. 570-579
  
• Somnuk Phon-Amnuaisuk:
  Generating Tonal Counterpoint Using Reinforcement Learning. 580-589
  
• Takeshi Mori, Shin Ishii:
  Robust Approximation in Decomposed Reinforcement Learning. 590-597
  
• Hiroki Tomizawa, Shin-ichi Maeda, Shin Ishii:
  Learning of Go Board State Evaluation Function by Artificial Neural Network. 598-605
  
• Yasushi Kohata, Koichiro Yamauchi, Masahito Kurihara:
  Quick Maximum Power Point Tracking of Photovoltaic Using Online Learning Neural Network. 606-613
  

Pattern Analysis

• Mrutyunjaya Panda, Manas Ranjan Patra:
  Semi-Naïve Bayesian Method for Network Intrusion Detection System. 614-621
  
• Shuichi Kurogi, Seitaro Sato, Kota Ichimaru:
  Speaker Recognition Using Pole Distribution of Speech Signals Obtained by Bagging CAN2. 622-629
  
• Kyung-Hee Lee, En-Jong Cha, Jae-Won Suh:
  Fast Intra Mode Decision for H.264/AVC Based on Directional Information of I4MB. 630-638
  
• Hillary Kipsang Choge, Tadahiro Oyama, Stephen Karungaru, Satoru Tsuge, Minoru Fukumi:
  Palmprint Recognition Based on Local DCT Feature Extraction. 639-648
  
• Dami Kim, Soo-Young Lee, Shun-ichi Amari:
  Representative and Discriminant Feature Extraction Based on NMF for Emotion Recognition in Speech. 649-656
  
• Hirotomo Hayashi, Qiangfu Zhao:
  Improvement of the Neural Network Trees through Fine-Tuning of the Threshold of Each Internal Node. 657-666
  
• Yoshihiro Mori, Yasuaki Kuroe:
  A Synthesis Method of Gene Networks Having Cyclic Expression Pattern Sequences by Network Learning. 667-675
  

Face Analysis and Processing

• Rong Phoophuangpairoj, Phongsuphap Sukanya, Supachai Tangwongsan:
  Gender Identification from Thai Speech Signal Using a Neural Network. 676-684
  
• Zheng Ji, Bao-Liang Lu:
  Gender Classification Based on Support Vector Machine with Automatic Confidence. 685-692
  
• Bumhwi Kim, Sang-Woo Ban, Minho Lee:
  Multiple Occluded Face Detection Based on Binocular Saliency Map. 693-700
  
• Iman Makaremi, Majid Ahmadi:
  A Mutual Information Based Face Recognition Method. 701-707
  
• Peratham Wiriyathammabhum, Boonserm Kijsirikul:
  Basis Selection for 2DLDA-Based Face Recognition Using Fisher Score. 708-715
  
• Minkook Cho, Hyeyoung Park:
  A Robust Keypoints Matching Strategy for SIFT: An Application to Face Recognition. 716-723
  
• Ligang Zhang, Dian Tjondronegoro:
  Selecting, Optimizing and Fusing 'Salient' Gabor Features for Facial Expression Recognition. 724-732
  
• Saleh K. H. Aly, Naoyuki Tsuruta, Rin-ichiro Taniguchi:
  Self-Organized Gabor Features for Pose Invariant Face Recognition. 733-742
  

Image Processing

• Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
  Image Hierarchical Segmentation Based on a GHSOM. 743-750
  
• Zhiqing Li, Zhiping Shi, Zhixin Li, Zhongzhi Shi:
  An Efficient Coding Model for Image Representation. 751-758
  
• Sang-Bok Choi, Sang Kyoo Paik, Yong Chul Bae, Minho Lee:
  SSTEM Cell Image Segmentation Based on Top-Down Selective Attention Model. 759-768
  
• Noppharit Tongprasit, Aram Kawewong, Osamu Hasegawa:
  Data Partitioning Technique for Online and Incremental Visual SLAM. 769-777
  
• Dong Yang, Ping Guo:
  Improvement of Image Modeling with Affinity Propagation Algorithm for Semantic Image Annotation. 778-787
  
• Rerkchai Fooprateepsiri, Werasak Kurutach, Sutthipong Tamsumpaolerd:
  An Image Identifier Based on Hausdorff Shape Trace Transform. 788-797
  
• Xinjian Guo, Yilong Yin, Zhichen Shi:
  Personalized Fingerprint Segmentation. 798-809
  
• Toan Nguyen Dinh, Jonghyun Park, Soo-Hyung Kim, Hyuk Ro Park, Gueesang Lee:
  Automatic Image Restoration Based on Tensor Voting. 810-818
  
• Gang Yu, Zhiwei Hu, Hongtao Lu:
  Robust Incremental Subspace Learning for Object Tracking. 819-828
  
• Hyang-Mi Yoo, Sang-Kwang Lee, Young-Ho Suh, Jae-Won Suh:
  Reversible Data Hiding Using the Histogram Modification of Block Image. 829-837
  
• Xu-Cheng Yin, Qian Liu, Hong-Wei Hao, Zhi-Bin Wang, Kaizhu Huang:
  A Rock Structure Recognition System Using FMI Images. 838-845
  

Financial Applications

• Ayhan Demiriz, Ahmet Cihan, Ufuk Kula:
  Analyzing Price Data to Determine Positive and Negative Product Associations. 846-855
  
• Cholticha Sangngam, Chantana Phongpensri:
  Production Planning Algorithm and Software for Sofa Factory. 856-865
  
• Haiqin Yang, Irwin King:
  Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification. 866-874
  
• Mónica Millán-Giraldo, Javier Salvador Sánchez, V. Javier Traver:
  Exploring Early Classification Strategies of Streaming Data with Delayed Attributes. 875-883
  
• Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin, Qian Liu, Kaizhu Huang:
  Exchange Rate Forecasting Using Classifier Ensemble. 884-891
  

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