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ORCID19th ICONIP 2012: Doha, Qatar
- Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi-Sing Leung:
Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III. Lecture Notes in Computer Science 7665, Springer 2012, ISBN 978-3-642-34486-2
Session 3: Algorithms
- Do-Thanh Sang, Dong-Min Woo, Dong-Chul Park:
Centroid Neural Network with Simulated Annealing and Its Application to Color Image Segmentation. 1-8 - Ali Awad:
Efficient Non-linear Filter for Impulse Noise Removal in Document Images. 9-16 - Souhir Bouaziz
, Habib Dhahri, Adel M. Alimi:
Evolving Flexible Beta Operator Neural Trees (FBONT) for Time Series Forecasting. 17-24 - Wentao Fan, Nizar Bouguila:
Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions. 25-33 - Kiatichai Treerattanapitak, Chuleerat Jaruskulchai:
Generalized Agglomerative Fuzzy Clustering. 34-41 - Ming Liu, Lei Lin, Lili Shan, Chengjie Sun:
A Novel Self-Adaptive Clustering Algorithm for Dynamic Data. 42-49 - Chaojie Li, David Yang Gao, Chao Liu:
Impulsive Synchronization of State Delayed Discrete Complex Networks with Switching Topology. 50-57 - Liming Yuan, Songbo Liu, Qingcheng Huang, Jiafeng Liu, Xianglong Tang:
Salient Instance Selection for Multiple-Instance Learning. 58-67 - Qingfeng Meng, Jianguo Du, Zhen Li:
Motivating Retail Marketing Efforts under Fairness Concerns in Small-World Networks: A Multi-agent Simulation. 68-75 - Dunwei Gong, Jian Chen, Xiaoyan Sun, Yong Zhang:
Application of Variational Granularity Language Sets in Interactive Genetic Algorithms. 76-83 - Tatsuya Yokota, Andrzej Cichocki, Yukihiko Yamashita:
Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis. 84-91 - Gang Xie, Hongbo Guo, Yu-Chu Tian, Maolin Tang:
A Human-Simulated Immune Evolutionary Computation Approach. 92-99 - Zhenwei Lu, Lingling Zhao, Xiaohong Su, Peijun Ma:
A STPHD-Based Multi-sensor Fusion Method. 100-107 - Satoshi Hara, Takashi Washio:
Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method. 108-115 - Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu:
Multiple Outlooks Learning with Support Vector Machines. 116-124 - P. K. Srijith, Shirish K. Shevade:
Multi-Task Learning Using Shared and Task Specific Information. 125-132 - Sepehr Eghbali, Majid Nili Ahmadabadi, Babak Nadjar Araabi, Maryam S. Mirian:
Learning Attentive Fusion of Multiple Bayesian Network Classifiers. 133-140 - Amira Samy Talaat, Amir F. Atiya, Sahar A. Mokhtar, Ahmed Al-Ani, Magda Bahaa Eldin Fayek:
Multiclass Penalized Likelihood Pattern Classification Algorithm. 141-148 - Piotr Plonski, Krzysztof Zaremba:
Self-Organising Maps for Classification with Metropolis-Hastings Algorithm for Supervision. 149-156 - Yinghua Han, Jinkuan Wang, Qiang Zhao, Peng Han:
Decoupled 2-D DOA Estimation Algorithm Based on Cross-Correlation Matrix for Coherently Distributed Source. 157-165 - Fengyu Cong, Anh Huy Phan, Qibin Zhao, Qiang Wu, Tapani Ristaniemi, Andrzej Cichocki:
Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations. 166-173 - María Arancha Simón Hurtado, Esperanza Manso Martínez, Carlos Vivaracho-Pascual, Juan Manuel Pascual-Gaspar:
A New Approach for a Priori Client Threshold Estimation in Biometric Signature Recognition Based on Multiple Linear Regression. 174-182 - Trung Le, Dat Tran, Wanli Ma, Dharmendra Sharma:
Deterministic Annealing Multi-Sphere Support Vector Data Description. 183-190 - Trung Le, Dat Tran, Tuan Hoang, Dharmendra Sharma:
Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface. 191-198 - Yoshikazu Yamanaka, Tadashi Tsubone:
A Basic Study on Particle Swarm Optimization Based on Chaotic Spike Oscillator Dynamics. 199-207 - Chi-Sing Leung, Pui-Fai Sum, Kai-Tat Ng:
On the Objective Function and Learning Algorithm for Concurrent Open Node Fault. 208-216 - David Becerra-Alonso, Mariano Carbonero-Ruz, Francisco J. Martínez-Estudillo, Alfonso C. Martínez-Estudillo:
Evolutionary Extreme Learning Machine for Ordinal Regression. 217-227 - Bernardete Ribeiro, Ning Chen:
Biclustering and Subspace Learning with Regularization for Financial Risk Analysis. 228-235 - Mingu Kwon, Minho Lee:
Emotion Understanding in Movie Clips Based on EEG Signal Analysis. 236-243 - Maryam Tavakol, Majid Nili Ahmadabadi, Maryam S. Mirian, Masoud Asadpour:
A Distributed Q-Learning Approach for Variable Attention to Multiple Critics. 244-251 - Siamak Barzegar, Maryam Davoudpour, Alireza Sadeghian:
A Hybrid Approach for Adaptive Car Navigation. 252-261 - Khaled Assaleh, Tamer Shanableh, Mohammed Zourob:
Low Complexity Classification System for Glove-Based Arabic Sign Language Recognition. 262-268 - Jun Yu, Jun Cheng, Jianmin Wang, Dacheng Tao:
Transductive Cartoon Retrieval by Multiple Hypergraph Learning. 269-276 - He Zhang, Zhirong Yang, Erkki Oja:
Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization. 277-284 - Zhirong Yang, He Zhang, Erkki Oja:
Online Projective Nonnegative Matrix Factorization for Large Datasets. 285-290 - Jyh-Yeong Chang, Ming-Feng Han, Chin-Teng Lin:
Optimization of Fuzzy Systems Using Group-Based Evolutionary Algorithm. 291-298 - Atreyee Sinha, Sugata Banerji, Chengjun Liu:
Gabor-Based Novel Local, Shape and Color Features for Image Classification. 299-306 - Amal Miloud-Aouidate, Ahmed Riadh Baba-Ali:
A Hybrid KNN-Ant Colony Optimization Algorithm for Prototype Selection. 307-314 - Grant Wu, Maolin Tang, Yu-Chu Tian, Wei Li:
Energy-Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm. 315-323 - Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski:
A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System. 324-331 - Zhijie Xu, Shiliang Sun:
Multi-source Transfer Learning with Multi-view Adaboost. 332-339 - Guoqing Chao, Shiliang Sun:
Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination. 340-347 - Ran Long, Liangqi Gong, Bo Yuan, Ping Ao, Qing-Sheng Ren:
Tracking Property of UMDA in Dynamic Environment by Landscape Framework. 348-355 - Jun Liu, Mingqing Xiao:
Computation of Joint Spectral Radius for Network Model Associated with Rank-One Matrix Set. 356-363 - Amine Chaibi, Mustapha Lebbah, Hanane Azzag:
Novelty Detection Using a New Group Outlier Factor. 364-372 - Xiaolin Hu, Peng Qi, Bo Zhang:
Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons. 373-381 - Jyoti Ranjan Adhikary, M. Narasimha Murty:
Feature Selection for Unsupervised Learning. 382-389 - Tomasz Maszczyk, Wlodzislaw Duch:
Recursive Similarity-Based Algorithm for Deep Learning. 390-397 - Qichong Tian, Hao Wen, Chenhui Zhou, Wei Chen:
A Fast Edge-Directed Interpolation Algorithm. 398-405 - Anurag Sharma, Dharmendra Sharma:
Real-Valued Constraint Optimization with ICHEA. 406-416 - Tadashi Yamazaki, Soichi Nagao:
Modeling Post-training Memory Transfer in Cerebellar Motor Learning. 417-424 - Yasuhiro Hatori, Kô Sakai:
Surface-Based Construction of Curvature Selectivity from the Integration of Local Orientations. 425-433 - Anurag Sharma, Dharmendra Sharma:
Solving Dynamic Constraint Optimization Problems Using ICHEA. 434-444 - Anurag Sharma, Dharmendra Sharma:
An Incremental Approach to Solving Dynamic Constraint Satisfaction Problems. 445-455 - Heyam H. Al-Baity, Souham Meshoul, Ata Kabán:
Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm. 456-464 - Sneha Chaudhari, Shirish K. Shevade:
Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering. 465-473 - Xiaolin Li, Minrui Wang:
Novel Robust Stability Criteria for Stochastic Hopfield Neural Network with Time-Varying Delays. 474-479 - Zeineb Chelly, Zied Elouedi:
RST-DCA: A Dendritic Cell Algorithm Based on Rough Set Theory. 480-487 - Jorge Y. Kanda, Carlos Soares, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho:
A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking. 488-495 - K. P. Swetha, V. Susheela Devi:
Modified Particle Swarm Optimization for Pattern Clustering. 496-503 - Telmo de Menezes e Silva Filho, Renata Maria Cardoso R. de Souza:
A Weighted Learning Vector Quantization Approach for Interval Data. 504-511 - Hakim Ghazzai, Elias Yaacoub, Mohamed-Slim Alouini, Adnan A. Abu-Dayya:
A Genetic Algorithm Solution for the Operation of Green LTE Networks with Energy and Environment Considerations. 512-519 - Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata:
Robust Hypersurface Fitting Based on Random Sampling Approximations. 520-527 - Peipei Yang, Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu:
Manifold Regularized Multi-Task Learning. 528-536 - Kunikazu Kobayashi, Tadashi Kurano, Takashi Kuremoto, Masanao Obayashi:
Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree. 537-544 - Kazuki Komori, Kazuhiro Homma, Tadashi Tsubone:
Basic Study on Particle Swarm Optimization with Hierarchical Structure for Constrained Optimization Problems. 545-551 - Marko V. Jankovic, Neil Rubens:
A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks. 552-559 - Amina Gacem, Kamel Boukhalfa:
Immune Algorithm for Bitmap Join Indexes. 560-567 - Awhan Patnaik, Samrat Dutta, Laxmidhar Behera:
Data Driven System Identification Using Evolutionary Algorithms. 568-576 - Noha A. Yousri, Mohamed S. Kamel, Mohamed A. Ismail:
A Possibilistic Density Based Clustering for Discovering Clusters of Arbitrary Shapes and Densities in High Dimensional Data. 577-584 - Karima Mouhoubi, Lucas Létocart, Céline Rouveirol:
A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets. 585-593 - Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio:
Robust Active Learning for Linear Regression via Density Power Divergence. 594-602 - Yann Chevaleyre, Aydano Machado Pamponet:
Adaptive Probabilistic Policy Reuse. 603-611 - Ioannis Partalas, Rohit Babbar, Éric Gaussier, Cécile Amblard:
Adaptive Classifier Selection in Large-Scale Hierarchical Classification. 612-619 - Mohamad Saada, Qinggang Meng:
An Efficient Algorithm for Anomaly Detection in a Flight System Using Dynamic Bayesian Networks. 620-628 - Usman Zakir, Asima Usman, Amir Hussain:
A Novel Road Traffic Sign Detection and Recognition Approach by Introducing CCM and LESH. 629-636 - Daniela Oliveira Francisco, Ivan Nunes da Silva:
On the Application of Bio-inspired Algorithms in Timetabling Problem. 637-644 - Omar S. Soliman, Aliaa Rassem:
A Bio Inspired Estimation of Distribution Algorithm for Global Optimization. 645-652 - Eisa Alanazi, Malek Mouhoub:
Managing Qualitative Preferences with Constraints. 653-662 - Omar S. Soliman, Doaa A. Saleh, Samaa Rashwan:
A Bio Inspired Fuzzy K-Modes Clustring Algorithm. 663-669 - Ammar Mohemmed, Guoyu Lu, Nikola K. Kasabov:
Evaluating SPAN Incremental Learning for Handwritten Digit Recognition. 670-677 - Marina Yusoff, Junaidah Ariffin, Azlinah Mohamed:
DPSO Based on Random Particle Priority Value and Decomposition Procedure as a Searching Strategy for the Evacuation Vehicle Routing Problem. 678-685 - Maurizio Fiasché:
A Quantum-Inspired Evolutionary Algorithm for Optimization Numerical Problems. 686-693 - Priyanka Garg, Irwin King, Michael R. Lyu:
Are You a Social Conformer? 694-701 - Ning Ruan, David Yang Gao:
Canonical Duality Theory and Algorithm for Solving Challenging Problems in Network Optimisation. 702-709
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