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ORCID18th ICONIP 2011: Shanghai, China
- Bao-Liang Lu, Liqing Zhang, James T. Kwok:
Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II. Lecture Notes in Computer Science 7063, Springer 2011, ISBN 978-3-642-24957-0
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 K. 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, Xuan Vinh Nguyen:
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 K. 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 Kumar 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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