18. ICONIP 2011: Shanghai, China

Cybersecurity and Data Mining Workshop

• Rafiq A. Mohammed, Paul Pang:
  Agent Personalized Call Center Traffic Prediction and Call Distribution. 1-10
  
• Xiaosong Li:
  Mapping from Student Domain into Website Category. 11-17
  
• Tao Ban, Shanqing Guo, Masashi Eto, Daisuke Inoue, Koji Nakao:
  Entropy Based Discriminators for P2P Teletraffic Characterization. 18-27
  
• Ruo Ando, Shinsuke Miwa:
  Faster Log Analysis and Integration of Security Incidents Using Knuth-Bendix Completion. 28-36
  
• Chuantong Chen, Fengyu Wang, Fengbo Lin, Shanqing Guo, Bin Gong:
  Fast Protocol Recognition by Network Packet Inspection. 37-44
  
• Liangxiong Li, Fengyu Wang, Tao Ban, Shanqing Guo, Bin Gong:
  Network Flow Classification Based on the Rhythm of Packets. 45-52
  

Data Mining and Knowledge Discovery

• Yun Li, Su-Yan Gao:
  Energy-Based Feature Selection and Its Ensemble Version. 53-62
  
• Shu-Hsien Liao, Yin-Ju Chen, Shiu-Hwei Ho:
  The Rough Set-Based Algorithm for Two Steps. 63-70
  
• Taoufik Bdiri, Nizar Bouguila:
  An Infinite Mixture of Inverted Dirichlet Distributions. 71-78
  
• Jianhua Xu:
  Multi-Label Weighted k-Nearest Neighbor Classifier with Adaptive Weight Estimation. 79-88
  
• Xiaowei Zhang, Bin Hu, Philip Moore, Jing Chen, Lin Zhou:
  Emotiono: An Ontology with Rule-Based Reasoning for Emotion Recognition. 89-98
  
• Tze-Haw Huang, Mao Lin Huang, Jesse S. Jin:
  Parallel Rough Set: Dimensionality Reduction and Feature Discovery of Multi-Dimensional Data in Visualization. 99-108
  
• Xiaoming Chen, Wanquan Liu, Jian-Huang Lai, Ke Fan:
  Feature Extraction via Balanced Average Neighborhood Margin Maximization. 109-116
  
• Xiaomin Jiang, Hiroki Tamura, Koichi Tanno, Li Yang, Hiroshi Sameshima, Tsuyomu Ikenoue:
  The Relationship between the Newborn Rats' Hypoxic-Ischemic Brain Damage and Heart Beat Interval Information. 117-124
  
• Mohamed Al Mashrgy, Nizar Bouguila, Khalid Daoudi:
  A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection. 125-132
  
• Younjin Chung, Masahiro Takatsuka:
  The Self-Organizing Map Tree (SOMT) for Nonlinear Data Causality Prediction. 133-142
  
• Daniel Fahey, Tom Gedeon, Dingyun Zhu:
  Document Classification on Relevance: A Study on Eye Gaze Patterns for Reading. 143-150
  
• Peipei Yang, Kaizhu Huang, Cheng-Lin Liu:
  Multi-Task Low-Rank Metric Learning Based on Common Subspace. 151-159
  
• Stefan Schliebs, Haza Nuzly Abdull Hamed, Nikola Kasabov:
  Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition. 160-168
  
• Jin-Yuan Chen, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia:
  An Adaptive Approach to Chinese Semantic Advertising. 169-176
  
• Xing Zhao, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia:
  A Lightweight Ontology Learning Method for Chinese Government Documents. 177-184
  
• Shu-Hsien Liao, Yin-Ju Chen, Shiu-Hwei Ho:
  Relative Association Rules Based on Rough Set Theory. 185-192
  
• Hiran Ganegedara, Damminda Alahakoon:
  Scalable Data Clustering: A Sammon's Projection Based Technique for Merging GSOMs. 193-202
  
• Bingxin Xu, Ping Guo:
  A Generalized Subspace Projection Approach for Sparse Representation Classification. 203-210
  

Evolutionary Design and Optimisation

• Dandan Wang, Qingcai Chen, Xiaolong Wang, Buzhou Tang:
  Macro Features Based Text Categorization. 211-219
  
• Mitra Hashemi, Mohammad Reza Meybodi:
  Univariate Marginal Distribution Algorithm in Combination with Extremal Optimization (EO, GEO). 220-227
  
• Shi Cheng, Yuhui Shi, Quande Qin:
  Promoting Diversity in Particle Swarm Optimization to Solve Multimodal Problems. 228-237
  
• Norbert Jankowski, Krzysztof Usowicz:
  Analysis of Feature Weighting Methods Based on Feature Ranking Methods for Classification. 238-247
  
• Nizamul Morshed, Madhu Chetty, Nguyen Xuan Vinh:
  Simultaneous Learning of Instantaneous and Time-Delayed Genetic Interactions Using Novel Information Theoretic Scoring Technique. 248-257
  
• Lifeng Ai, Maolin Tang, Colin J. Fidge:
  Resource Allocation and Scheduling of Multiple Composite Web Services in Cloud Computing Using Cooperative Coevolution Genetic Algorithm. 258-267
  

Graphical Models

• Yunqiang Liu, Vicent Caselles:
  Image Classification Based on Weighted Topics. 268-275
  
• Wentao Fan, Nizar Bouguila, Djemel Ziou:
  A Variational Statistical Framework for Object Detection. 276-283
  
• Nassim Asbai, Abderrahmane Amrouche, Mohamed Debyeche:
  Performances Evaluation of GMM-UBM and GMM-SVM for Speaker Recognition in Realistic World. 284-291
  
• Dalila Yessad, Abderrahmane Amrouche, Mohamed Debyeche:
  SVM and Greedy GMM Applied on Target Identification. 292-299
  
• Khalid Daoudi, Reda Jourani, Régine André-Obrecht, Driss Aboutajdine:
  Speaker Identification Using Discriminative Learning of Large Margin GMM. 300-307
  
• Haohua Zhao, Liqing Zhang:
  Sparse Coding Image Denoising Based on Saliency Map Weight. 308-315
  

Human-Originated Data Analysis and Implementation

• Jeong Woo Son, Seongtaek Kim, Seong-Bae Park, Yunseok Noh, Jun-Ho Go:
  Expanding Knowledge Source with Ontology Alignment for Augmented Cognition. 316-324
  
• Jeong-Min Yun, Seungjin Choi:
  Nyström Approximations for Scalable Face Recognition: A Comparative Study. 325-334
  
• Jeongin Seo, Hyeyoung Park:
  A Robust Face Recognition through Statistical Learning of Local Features. 335-341
  
• Byunghun Hwang, Cheol-Su Kim, Hyung-Min Park, Yun-Jung Lee, Min-Young Kim, Minho Lee:
  Development of Visualizing Earphone and Hearing Glasses for Human Augmented Cognition. 342-349
  
• Minkook Cho, Hyeyoung Park:
  Facial Image Analysis Using Subspace Segregation Based on Class Information. 350-357
  
• Yuki Maruno, Kenta Cho, Yuzo Okamoto, Hisao Setoguchi, Kazushi Ikeda:
  An Online Human Activity Recognizer for Mobile Phones with Accelerometer. 358-365
  
• Myungwoo Oh, Hyung-Min Park:
  Preprocessing of Independent Vector Analysis Using Feed-Forward Network for Robust Speech Recognition. 366-373
  

Information Retrieval

• Di Zhou, Yuxin Ding, Qingzhen You, Min Xiao:
  Learning to Rank Documents Using Similarity Information between Objects. 374-381
  
• Qing Zhang, Jianwu Li, Zhiping Zhang:
  Efficient Semantic Kernel-Based Text Classification Using Matching Pursuit KFDA. 382-390
  
• Amir H. Basirat, Asad I. Khan:
  Introducing a Novel Data Management Approach for Distributed Large Scale Data Processing in Future Computer Clouds. 391-398
  
• Ming Li, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia:
  PatentRank: An Ontology-based Approach to Patent Search. 399-405
  
• Sumith Matharage, Damminda Alahakoon, Jayantha Rajapakse, Pin Huang:
  Fast Growing Self Organizing Map for Text Clustering. 406-415
  
• Zehua Yan, Fang Li:
  News Thread Extraction Based on Topical N-Gram Model with a Background Distribution. 416-424
  

Integrating Multiple Nature-Inspired Approaches

• Fei Peng, Ke Tang:
  Alleviate the Hypervolume Degeneration Problem of NSGA-II. 425-434
  
• Yajuan Ma, Ruochen Liu, Ronghua Shang:
  A Hybrid Dynamic Multi-objective Immune Optimization Algorithm Using Prediction Strategy and Improved Differential Evolution Crossover Operator. 435-444
  
• Jing Sun, Dunwei Gong, Xiaoyan Sun:
  Optimizing Interval Multi-objective Problems Using IEAs with Preference Direction. 445-452
  
• Jinlong Li, Guanzhou Lu, Xin Yao:
  Fitness Landscape-Based Parameter Tuning Method for Evolutionary Algorithms for Computing Unique Input Output Sequences. 453-460
  
• Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
  Introducing the Mallows Model on Estimation of Distribution Algorithms. 461-470
  

Kernel Methods and Support Vector Machines

• Tatsuya Yokota, Yukihiko Yamashita:
  Support Vector Machines with Weighted Regularization. 471-480
  
• Barbara Hammer, Frank-Michael Schleif, Xibin Zhu:
  Relational Extensions of Learning Vector Quantization. 481-489
  
• Zhouyu Fu, Guojun Lu, Kai Ming Ting, Dengsheng Zhang:
  On Low-Rank Regularized Least Squares for Scalable Nonlinear Classification. 490-499
  
• Mehmet Gönen, Melih Kandemir, Samuel Kaski:
  Multitask Learning Using Regularized Multiple Kernel Learning. 500-509
  
• Xun Liang:
  Solving Support Vector Machines beyond Dual Programming. 510-518
  
• Stefano Melacci, Marco Gori:
  Learning with Box Kernels. 519-528
  
• Trung Le, Dat Tran, Wanli Ma, Dharmendra Sharma:
  A Novel Parameter Refinement Approach to One Class Support Vector Machine. 529-536
  
• Trung Le, Dat Tran, Phuoc Nguyen, Wanli Ma, Dharmendra Sharma:
  Multi-Sphere Support Vector Clustering. 537-544
  
• Fausto Lucena, Mauricio Kugler, Allan Kardec Barros, Noboru Ohnishi:
  Testing Predictive Properties of Efficient Coding Models with Synthetic Signals Modulated in Frequency. 545-553
  

Learning and Memory

• Lijun Liu, Rendong Ge, Pengyuan Gao:
  A Novel Neural Network for Solving Singular Nonlinear Convex Optimization Problems. 554-561
  
• Marko Tscherepanow:
  An Extended TopoART Network for the Stable On-line Learning of Regression Functions. 562-571
  
• Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
  Introducing Reordering Algorithms to Classic Well-Known Ensembles to Improve Their Performance. 572-579
  
• Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
  Improving Boosting Methods by Generating Specific Training and Validation Sets. 580-587
  
• Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
  Using Bagging and Cross-Validation to Improve Ensembles Based on Penalty Terms. 588-595
  
• Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
  A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network. 596-605
  
• Ryo Ito, Yuta Nakayama, Toshimichi Saito:
  Learning of Dynamic BNN toward Storing-and-Stabilizing Periodic Patterns. 606-611
  
• Takashi Ogawa, Toshimichi Saito:
  Self-organizing Digital Spike Interval Maps. 612-617
  
• Sho Yakushiji, Tetsuo Furukawa:
  Shape Space Estimation by SOM2. 618-627
  
• Kunihiko Fukushima, Isao Hayashi, Jasmin Léveillé:
  Neocognitron Trained by Winner-Kill-Loser with Triple Threshold. 628-637
  
• Li Zhang, Weida Zhou, Bing Liu:
  Nonlinear Nearest Subspace Classifier. 638-645
  
• Ziqiang Shi, Jiqing Han, Tieran Zheng:
  A Novel Framework Based on Trace Norm Minimization for Audio Event Detection. 646-654
  
• Ryota Hibi, Norikazu Takahashi:
  A Modified Multiplicative Update Algorithm for Euclidean Distance-Based Nonnegative Matrix Factorization and Its Global Convergence. 655-662
  
• Qiang Wu, Liqing Zhang, Andrzej Cichocki:
  A Two Stage Algorithm for K-Mode Convolutive Nonnegative Tucker Decomposition. 663-670
  
• Deyuan Zhang, Bingquan Liu, Chengjie Sun, Xiaolong Wang:
  Making Image to Class Distance Comparable. 671-680
  
• Ke Fan, Wanquan Liu, Senjian An, Xiaoming Chen:
  Margin Preserving Projection for Image Set Based Face Recognition. 681-689
  
• Noel Lopes, Bernardete Ribeiro:
  An Incremental Class Boundary Preserving Hypersphere Classifier. 690-699
  
• Lazhar Labiod, Mohamed Nadif:
  Co-clustering for Binary Data with Maximum Modularity. 700-708
  
• Lazhar Labiod, Mohamed Nadif:
  Co-clustering under Nonnegative Matrix Tri-Factorization. 709-717
  
• Ammar Mohemmed, Stefan Schliebs, Nikola Kasabov:
  SPAN: A Neuron for Precise-Time Spike Pattern Association. 718-725
  
• Julian Szymanski, Wlodzislaw Duch:
  Induction of the Common-Sense Hierarchies in Lexical Data. 726-734
  
• Sukarna Barua, Md. Monirul Islam, Kazuyuki Murase:
  A Novel Synthetic Minority Oversampling Technique for Imbalanced Data Set Learning. 735-744
  
• Guénaël Cabanes, Younès Bennani, Dominique Fresneau:
  A New Simultaneous Two-Levels Coclustering Algorithm for Behavioural Data-Mining. 745-752
  
• Vivek Srivastava, Bipin K. Tripathi, Vinay K. Pathak:
  An Evolutionary Fuzzy Clustering with Minkowski Distances. 753-760
  
• Asanka Fonseka, Damminda Alahakoon, Jayantha Rajapakse:
  A Dynamic Unsupervised Laterally Connected Neural Network Architecture for Integrative Pattern Discovery. 761-770
  

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