13. ICONIP 2006: Hong Kong, China

Pattern Classification

• Dijun Luo, Rong Xiong:
  Distance Function Learning in Error-Correcting Output Coding Framework. 1-10
  
• Nobuhiko Yamaguchi:
  Combining Pairwise Coupling Classifiers Using Individual Logistic Regressions. 11-20
  
• Hyoungjoo Lee, Sungzoon Cho:
  The Novelty Detection Approach for Different Degrees of Class Imbalance. 21-30
  
• Lei Xu, Baihua Xiao, Chunheng Wang, Ruwei Dai:
  A Novel Multistage Classification Strategy for Handwriting Chinese Character Recognition Using Local Linear Discriminant Analysis. 31-39
  
• Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Tom Fischer, Marie Cottrell:
  Prototype Based Classification Using Information Theoretic Learning. 40-49
  
• Fabio C. D. Silva, Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Joyce Q. Silva:
  A Modal Symbolic Classifier for Interval Data. 50-59
  
• Kou-Yuan Huang, Jiun-De You, Kai-Ju Chen, Hung-Lin Lai, An-Jin Don:
  Hough Transform Neural Network for Seismic Pattern Detection. 60-69
  
• Chen Li Poh, Chu Kiong Loo, M. V. C. Rao:
  Autonomous and Deterministic Clustering for Evidence-Theoretic Classifier. 70-79
  
• Zhi-Kai Huang, De-Shuang Huang, Ji-Xiang Du, Zhong-Hua Quan, Sheng-Bo Guo:
  Bark Classification Based on Gabor Filter Features Using RBPNN Neural Network. 80-87
  
• Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi, Chong Long, Li Zhuang, Xiaoyan Zhu:
  A Hybrid Handwritten Chinese Address Recognition Approach. 88-98
  
• Hong Zheng, Li Pan, Li Li:
  A Morphological Neural Network Approach for Vehicle Detection from High Resolution Satellite Imagery. 99-106
  
• Dae Jong Lee, Mann-Jun Kwon, Myung-Geun Chun:
  Secure Personnel Authentication Based on Multi-modal Biometrics Under Ubiquitous Environments. 107-115
  
• Amir F. Atiya, Sherif Hashem, Hatem A. Fayed:
  Pattern Classification Using a Set of Compact Hyperspheres. 116-123
  
• Huilan Jiang, Tangsheng Liu, Mengbin Wang:
  Direct Estimation of Fault Tolerance of Feedforward Neural Networks in Pattern Recognition. 124-131
  
• Chao-feng Li, Jun-ben Zhang, Zheng-you Wang, Shi-tong Wang:
  A Fully Automated Pattern Classification Method of Combining Self-Organizing Map with Generalization Regression Neural Network. 132-139
  
• Alexander Senf, Xue-wen Chen, Anne Zhang:
  Comparison of One-Class SVM and Two-Class SVM for Fold Recognition. 140-149
  
• Hyunjung Lee, Harksoo Kim, Jungyun Seo:
  Efficient Domain Action Classification Using Neural Networks. 150-158
  
• Adriano de Andrade Bresolin, Adrião Duarte Dória Neto, Pablo Javier Alsina:
  A New Hierarchical Decision Structure Using Wavelet Packet and SVM for Brazilian Phonemes Recognition. 159-166
  

Face Analysis and Processing

• Kwang-Baek Kim, Sungshin Kim:
  A Passport Recognition and Face Verification Using Enhanced Fuzzy Neural Network and PCA Algorithm. 167-176
  
• Ho Joon Kim, Juho Lee, Hyun Seung Yang:
  A Weighted FMM Neural Network and Its Application to Face Detection. 177-186
  
• Zhi-Gang Fan, Bao-Liang Lu:
  Fast Learning for Statistical Face Detection. 187-196
  
• Yanmin Niu, Xuchu Wang:
  Extraction of Discriminative Manifold for Face Recognition. 197-206
  
• Son Lam Phung, Abdesselam Bouzerdoum:
  Gender Classification Using a New Pyramidal Neural Network. 207-216
  
• GaoYun An, Qiuqi Ruan:
  A Novel Model for Gabor-Based Independent Radial Basis Function Neural Networks and Its Application to Face Recognition. 217-226
  
• Huiyuan Wang, Yan Leng, Zengfeng Wang, Xiaojuan Wu:
  Generalized PCA Face Recognition by Image Correction and Bit Feature Fusion. 227-235
  
• Long Fei, Dong Huailin, Fan Ling, Chen Haishan:
  E-2DLDA: A New Matrix-Based Image Representation Method for Face Recognition. 236-243
  
• Chuan-Yu Chang, Yung-Chin Tu, Hong-Hao Chang:
  Adaptive Color Space Switching Based Approach for Face Tracking. 244-252
  
• Yan Wu, Ren-Min Gu:
  A New Subspace Analysis Approach Based on Laplacianfaces. 253-259
  
• Fok Hing Chi Tivive, Abdesselam Bouzerdoum:
  Rotation Invariant Face Detection Using Convolutional Neural Networks. 260-269
  
• Jianpo Gao, Zhenyang Wu, Yujian Wang:
  Face Tracking Algorithm Based on Mean Shift and Ellipse Fitting. 270-277
  
• Jiayan Jiang, LiMing Zhang, Tetsuo Furukawa:
  Improving the Generalization of Fisherface by Training Class Selection Using SOM². 278-285
  

Image Processing

• Anbang Xu, Ping Guo:
  Image Registration with Regularized Neural Network. 286-293
  
• Benedicte Bascle, Olivier Bernier, Vincent Lemaire:
  A Statistical Approach for Learning Invariants: Application to Image Color Correction and Learning Invariants to Illumination. 294-303
  
• Yan Zhang, Qing Xu, Tao Wang, Lei Sun:
  Limited Recurrent Neural Network for Superresolution Image Reconstruction. 304-313
  
• Yun Wen Chen, Bo Yu Li:
  Remote Sensing Image Fusion Based on Adaptive RBF Neural Network. 314-323
  
• Xiongcai Cai, Arcot Sowmya:
  Active Contour with Neural Networks-Based Information Fusion Kernel. 324-333
  
• Bin Wang, Chaojian Shi:
  A Novel Split-and-Merge Technique for Error-Bounded Polygonal Approximation. 334-342
  
• Lingzhi Liao, Siwei Luo, Mei Tian, Lianwei Zhao:
  Fast and Adaptive Low-Pass Whitening Filters for Natural Images. 343-352
  
• Matteo Cacciola, Antonino Greco, Francesco Carlo Morabito, Mario Versaci:
  An Exhaustive Employment of Neural Networks to Search the Better Configuration of Magnetic Signals in ITER Machine. 353-360
  
• Neelam Sinha, Manojkumar Saranathan, A. G. Ramakrishnan, Juan Zhou, Jagath C. Rajapakse:
  Ultra-Fast fMRI Imaging with High-Fidelity Activation Map. 361-368
  
• Jundi Ding, Songcan Chen, RuNing Ma, Bo Wang:
  A Fast Directed Tree Based Neighborhood Clustering Algorithm for Image Segmentation. 369-378
  
• Pan Lin, XiaoJian Zheng, Gang Yu, ZuMao Weng, Shengzhen Cai:
  An Efficient Unsupervised Mixture Model for Image Segmentation. 379-386
  
• Jian Ji, Tian Zheng:
  Speckle Reduction of Polarimetric SAR Images Based on Neural ICA. 387-393
  
• Jian Ji, Tian Zheng:
  Robust ICA Neural Network and Application on Synthetic Aperture Radar (SAR) Image Analysis. 394-403
  
• Ling Wang, Liefeng Bo, Licheng Jiao:
  Kernel Uncorrelated Discriminant Analysis for Radar Target Recognition. 404-411
  
• Tao Wang, Yan Zhang, Yong Sheng Zhang:
  SuperResolution Image Reconstruction Using a Hybrid Bayesian Approach. 412-419
  
• Naoto Katsumata, Yasuo Matsuyama, Takeshi Chikagawa, Fuminori Ohashi, Fumiaki Horiike, Shun'ichi Honma, Tomohiro Nakamura:
  Retrieval-Aware Image Compression, Its Format and Viewer Based Upon Learned Bases. 420-429
  
• Md. Atiqul Islam, Shamim Akhter, Tamnun E. Mursalin, M. Ashraful Amin:
  A Suitable Neural Network to Detect Textile Defects. 430-438
  
• Chung-Nguyen Tran, Dong-Chul Park:
  MPEG Video Traffic Modeling and Classification Using Fuzzy C-Means Algorithm with Divergence-Based Kernel. 439-447
  
• Hongliang Bai, Wei Hu, Tao Wang, Xiaofeng Tong, Changping Liu, Yimin Zhang:
  A Novel Sports Video Logo Detector Based on Motion Analysis. 448-457
  
• Qing-lei Meng, Chun-lian Yao, Bo Li:
  A Fast Selection Algorithm for Multiple Reference Frames in H.264/AVC. 458-465
  
• Jaekyoung Moon, Jiyoung Yeo, Sungmoon Jeong, PalJoo Yoon, Minho Lee:
  An Automotive Detector Using Biologically Motivated Selective Attention Model for a Blind Spot Monitor. 466-473
  
• Xiaobin Li, Tian Zheng:
  Wavelet Energy Signature: Comparison and Analysis. 474-480
  
• Wei Liu, Jie Huang, Yongjun Zhao:
  Image Fusion Based on PCA and Undecimated Discrete Wavelet Transform. 481-488
  

Signal Processing

• Myung-Won Kim, Joung Woo Ryu, Eun Ju Kim:
  Speech Recognition with Multi-modal Features Based on Neural Networks. 489-498
  
• Xin Ma, Weidong Zhou, Fang Ju, Qi Jiang:
  Speech Feature Extraction Based on Wavelet Modulation Scale for Robust Speech Recognition. 499-505
  
• Chao Gui, Baolin Sun:
  Fuzzy Controllers Based QoS Routing Algorithm with a Multiclass Scheme for Ad Hoc Networks. 506-514
  
• Donghai Li, Shihai Gao, Feng Wang, Fankun Meng:
  Direction of Arrival Estimation Based on Minor Component Analysis Approach. 515-522
  
• Zhi-Lin Zhang, Liqing Zhang, Xiu-Ling Wu, Jie Li, Qibin Zhao:
  Two-Stage Temporally Correlated Source Extraction Algorithm with Its Application in Extraction of Event-Related Potentials. 523-532
  
• Liyu Huang, Weirong Wang, Sekou Singare:
  Bispectrum Quantification Analysis of EEG and Artificial Neural Network May Classify Ischemic States. 533-542
  
• Askin Demirkol, Levent Acar, Robert S. Woodley:
  An Adaptive Beamforming by a Generalized Unstructured Neural Network. 543-552
  
• Chuang Zhao, Yongjun Zhao:
  Application of Improved Kohonen SOFM Neural Network to Radar Signal Sorting. 553-559
  
• Ye Zhang, Jianhua Wu, Guojin Wan, Yiqiang Wu:
  Unscented Kalman Filter-Trained MRAN Equalizer for Nonlinear Channels. 560-567
  
• Sai-Ho Yeung, Kim-Fung Man:
  A Jumping Genes Paradigm with Fuzzy Rules for Optimizing Digital IIR Filters. 568-577
  
• Abhisek Ukil:
  Practical Denoising of MEG Data Using Wavelet Transform. 578-585
  
• X. Y. Qiao, G. Li, L. Lin:
  Signal Restoration and Parameters' Estimation of Ionic Single-Channel Based on HMM-SR Algorithm. 586-595
  
• Qiang Guo, Wanhai Chen, Xingzhou Zhang, Zheng Li, Di Guan:
  Signal Sorting Based on SVC & K-Means Clustering in ESM Systems. 596-603
  

Computer Vision

• Ryan Gene Benton, Chee-Hung Henry Chu:
  Camera Pose Estimation by an Artificial Neural Network. 604-611
  
• Baoquan Song, Zhengzhi Wang, Xin Zhang:
  Depth Perception of the Surfaces in Occluded Scenic Images. 612-621
  
• Jianbo Su, Wendong Peng:
  Incremental Learning Method for Unified Camera Calibration. 622-631
  
• Pinar Çivicioglu, Erkan Besdok:
  Implicit Camera Calibration by Using Resilient Neural Networks. 632-640
  
• Dong-Min Woo, Dong-Chul Park:
  Implicit Camera Calibration Using an Artificial Neural Network. 641-650
  
• Usman Khan, Abdelaziz Terchi, Sungwoo Lim, David K. Wright, Sheng Feng Qin:
  3D Freeform Surfaces from Planar Sketches Using Neural Networks. 651-660
  
• Liansheng Wang, Xucan Chen, Sikun Li, Xun Cai:
  General Adaptive Transfer Functions Design for Volume Rendering by Using Neural Networks. 661-670
  
• Yi Wang, Hujun Yin, Li-Zhu Zhou, Zhi-Qiang Liu:
  Real-Time Synthesis of 3D Animations by Learning Parametric Gaussians Using Self-Organizing Mixture Networks. 671-678
  

Data Pre-processing

• D. Huang, Tommy W. S. Chow:
  An Excellent Feature Selection Model Using Gradient-Based and Point Injection Techniques. 679-692
  
• Vincent Lemaire, Raphaël Feraud:
  Driven Forward Features Selection: A Comparative Study on Neural Networks. 693-702
  
• Paresh Chandra Barman, Nadeem Iqbal, Soo-Young Lee:
  Non-negative Matrix Factorization Based Text Mining: Feature Extraction and Classification. 703-712
  
• Min Li, Wei Cai, Zheng Tan:
  Adaptive Parameters Determination Method of Pulse Coupled Neural Network Based on Water Valley Area. 713-720
  
• Yang Hui-zhong, Tian Jun, Ding Feng:
  The Forgetting Gradient Algorithm for Parameter and Intersample Estimation of Dual-Rate Systems. 721-728
  
• Danilo L. de Souza, Adrião Duarte Dória Neto, Wilson da Mata:
  Intelligent System for Feature Extraction of Oil Slick in SAR Images: Speckle Filter Analysis. 729-736
  
• Gecynalda Soares S. Gomes, Teresa Bernarda Ludermir:
  Feature Selection for Neural Networks Through Binomial Regression. 737-745
  
• Gyunghyun Choi, Suk Joo Bae:
  Automated Parameter Selection for Support Vector Machine Decision Tree. 746-753
  
• K. Y. Michael Wong, Chi Ho Yeung, David Saad:
  Message-Passing for Inference and Optimization of Real Variables on Sparse Graphs. 754-763
  
• Amir F. Atiya:
  Analysis and Insights into the Variable Selection Problem. 764-775
  
• Chen Change Loy, Weng-Kin Lai, Chee Peng Lim:
  Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection. 776-785
  
• Takashi Minohara:
  Fault Tolerant Training of Neural Networks for Learning Vector Quantization. 786-795
  
• Wenye Li, Kin-Hong Lee, Kwong-Sak Leung:
  Clustering with a Semantic Criterion Based on Dimensionality Analysis. 796-805
  
• Delu Zeng, Shengli Xie, Zhiheng Zhou:
  Improved Clustering and Anisotropic Gradient Descent Algorithm for Compact RBF Network. 806-813
  
• Rasika Amarasiri, Damminda Alahakoon, Kate Smith-Miles:
  Clustering Massive High Dimensional Data with Dynamic Feature Maps. 814-823
  
• Jean-Louis Lassez, Tayfun Karadeniz, Srinivas Mukkamala:
  Zoomed Clusters. 824-830
  

Forecasting and Prediction

• Mohammad Assaad, Romuald Boné, Hubert Cardot:
  Predicting Chaotic Time Series by Boosted Recurrent Neural Networks. 831-840
  
• Pawalai Kraipeerapun, Chun Che Fung, Warick Brown, Kok Wai Wong, Tamás D. Gedeon:
  Uncertainty in Mineral Prospectivity Prediction. 841-849
  
• Chuan-Wei Chang, Yuan Kang, Yi-Wei Chen, Ming-Hui Chu, Yea-Ping Wang:
  Thermal Deformation Prediction in Machine Tools by Using Neural Network. 850-859
  
• Rafik A. Aliev, Bijan Fazlollahi, Rashad R. Aliev, Babek Guirimov:
  Fuzzy Time Series Prediction Method Based on Fuzzy Recurrent Neural Network. 860-869
  
• Weijin Jiang, Xiaohong Lin:
  Research on a Novel Method Diagnosis and Maintenance for Key Produce Plant Based on MAS and NN. 870-879
  
• Fang Liu, Jian-Zhong Zhou, Fangpeng Qiu, Jun-Jie Yang, Li Liu:
  Nonlinear Hydrological Time Series Forecasting Based on the Relevance Vector Regression. 880-889
  
• Jun Zhu, Chunbo Liu, Jianhua Gong, Daojun Wang, Tao Song:
  A Distributed Computing Service for Neural Networks and Its Application to Flood Peak Forecasting. 890-896
  
• Ryotaro Kamimura, Fumihiko Yoshida:
  Automatic Inference of Cabinet Approval Ratings by Information-Theoretic Competitive Learning. 897-908
  
• Vincenzo Barrile, Matteo Cacciola, Sebastiano D'Amico, Antonino Greco, Francesco Carlo Morabito, Francesco Parrillo:
  Radial Basis Function Neural Networks to Foresee Aftershocks in Seismic Sequences Related to Large Earthquakes. 909-916
  
• HyungJun Kim:
  Motion Vector Prediction Using Frequency Sensitive Competitive Learning. 917-924
  
• Bao Rong Chang, Shi-Huang Chen, Hsiu Fen Tsai:
  Forecasting the Flow of Data Packets for Website Traffic Analysis - ASVR-Tuned ANFIS/NGARCH Approach. 925-933
  
• André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir:
  A Hybrid Model for Symbolic Interval Time Series Forecasting. 934-941
  
• Ben-yu Liu, Liao-yuan Ye, Mei-ling Xiao, Sheng Miao:
  Peak Ground Velocity Evaluation by Artificial Neural Network for West America Region. 942-951
  
• Shu Fan, Chengxiong Mao, Jiadong Zhang, Luonan Chen:
  Forecasting Electricity Demand by Hybrid Machine Learning Model. 952-963
  
• Chung-Nguyen Tran, Dong-Chul Park, Hwan-Soo Choi:
  Short-Term Load Forecasting Using Multiscale BiLinear Recurrent Neural Network with an Adaptive Learning Algorithm. 964-973
  
• Abhisek Ukil, Jaco A. Jordaan:
  A New Approach to Load Forecasting: Using Semi-parametric Method and Neural Networks. 974-983
  
• Wei Sun, Chenguang Yang:
  Research of Least Square Support Vector Machine Based on Chaotic Time Series in Power Load Forecasting Model. 984-993
  

Neurodynamic and Particle Swarm Optimization

• Xiaolin Hu, Jun Wang:
  Solving Extended Linear Programming Problems Using a Class of Recurrent Neural Networks. 994-1003
  
• Qingshan Liu, Jun Wang:
  A Recurrent Neural Network for Non-smooth Convex Programming Subject to Linear Equality and Bound Constraints. 1004-1013
  
• Min-Jae Kang, Ho-Chan Kim, Farrukh Aslam Khan, Wang-Cheol Song, Sang Joon Lee:
  Neural Networks for Optimization Problem with Nonlinear Constraints. 1014-1021
  
• Yun-an Hu, Bin Zuo, Jing Li:
  A Novel Chaotic Annealing Recurrent Neural Network for Multi-parameters Extremum Seeking Algorithm. 1022-1031
  
• Yao-qun Xu, Ming Sun, Meng-shu Guo:
  Improved Transiently Chaotic Neural Network and Its Application to Optimization. 1032-1041
  
• Jing Liu, Jun Sun, Wenbo Xu:
  Quantum-Behaved Particle Swarm Optimization for Integer Programming. 1042-1050
  
• Xin Chen, Yangmin Li:
  Neural Network Training Using Stochastic PSO. 1051-1060
  
• Marcio Carvalho, Teresa Bernarda Ludermir:
  Hybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization. 1061-1070
  
• Hongwei Dai, Yu Yang, Yanqiu Che, Zheng Tang:
  Clonal Selection Theory Based Artificial Immune System and Its Application. 1071-1078
  
• Cheng-Long Chuang, Chung-Ming Chen, Grace S. Shieh:
  A Hybrid Algorithm to Infer Genetic Networks. 1079-1089
  
• Xiaoguang Zhang, Lixia Xi, Gaoyan Duan, Li Yu, Zhongyuan Yu, Bojun Yang:
  An Intelligent PSO-Based Control Algorithm for Adaptive Compensation Polarization Mode Dispersion in Optical Fiber Communication Systems. 1090-1100
  
• Kwok-wing Chau:
  Prediction of Construction Litigation Outcome Using a Split-Step PSO Algorithm. 1101-1107
  
• Ruey-Maw Chen, Shih-Tang Lo, Yueh-Min Huang:
  Solving Multiprocessor Real-Time System Scheduling with Enhanced Competitive Scheme. 1108-1117
  
• Kyeongmo Park, Sungcheol Kim, Chuleui Hong:
  A Distributed Hybrid Algorithm for Optimized Resource Allocation Problem. 1118-1127
  
• Wenhui Zhou, Lili Lin, Weikang Gu:
  A Swarm Optimization Model for Energy Minimization Problem of Early Vision. 1128-1137
  
• X. C. Guo, Yangchun Liang, Chunguo Wu, C. Y. Wang:
  PSO-Based Hyper-Parameters Selection for LS-SVM Classifiers. 1138-1147
  
• Junying Chen, Zheng Qin:
  Training RBF Neural Networks with PSO and Improved Subtractive Clustering Algorithms. 1148-1155
  
• Jun Sun, Wenbo Xu, Jing Liu:
  Training RBF Neural Network Via Quantum-Behaved Particle Swarm Optimization. 1156-1163
  
• Jing-Hua Guan, Dayou Liu, Si-Pei Liu:
  Discrete Particle Swarm Optimization and EM Hybrid Approach for Naive Bayes Clustering. 1164-1173
  
• Ying Gao, Zhaohui Li, Hui Zheng, Huailiang Liu:
  Extended Particle Swarm Optimiser with Adaptive Acceleration Coefficients and Its Application in Nonlinear Blind Source Separation. 1174-1182
  
• Yun-Chia Liang, Angela Hsiang-Ling Chen, Chiuh-Cheng Chyu:
  Application of a Hybrid Ant Colony Optimization for the Multilevel Thresholding in Image Processing. 1183-1192
  

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