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21st ICONIP 2014: Kuching, Malaysia
- Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang:
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8834, Springer 2014, ISBN 978-3-319-12636-4
Cognitive Science
- Md. Hedayetul Islam Shovon, D. Nandagopal
, Ramasamy Vijayalakshmi, Jia Tina Du
Transfer Entropy and Information Flow Patterns in Functional Brain Networks during Cognitive Activity. 1-10 - Ukeob Park, Rammohan Mallipeddi, Minho Lee:
Human Implicit Intent Discrimination Using EEG and Eye Movement. 11-18 - Sven Nõmm, Tiit Kõnnusaar, Aaro Toomela
Towards Establishing Relationships between Human Arousal Level and Motion Mass. 19-26 - Toshiaki Omori:
Estimating Nonlinear Spatiotemporal Membrane Dynamics in Active Dendrites. 27-34 - Krishna P. Miyapuram, Ujjval Pamnani, Kenji Doya, Raju S. Bapi
Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning. 35-41 - Kyon-Mo Yang, Sung-Bae Cho:
An Agent Response System Based on Mirror Neuron and Theory of Mind. 42-49 - Pablo Fernández López, Patricio García Báez, Carmen Paz Suárez Araujo:
Dynamic of Nitric Oxide Diffusion in Volume Transmission: Model and Validation. 50-58 - Altaf Hussain Abro, Michel C. A. Klein
A Computational Model of the Relation between Regulation of Negative Emotions and Mood. 59-68
Neural Networks and Learning Systems - Theory and Design
- Son Ngoc Tran, Artur S. d'Avila Garcez:
Low-Cost Representation for Restricted Boltzmann Machines. 69-77 - Kunihiko Fukushima:
Add-if-Silent Rule for Training Multi-layered Convolutional Network Neocognitron. 78-85 - Enmei Tu, Jie Yang, Zhenghong Jia, Nikola K. Kasabov:
Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework. 86-94 - Jing Xian Teo, Henry Lee Seldon:
Computational Model of Neocortical Learning Process: Prototype. 95-102 - Yingjie Gu, Zhong Jin, Steve C. Chiu:
Active Learning with Maximum Density and Minimum Redundancy. 103-110 - Takumi Okutsu, Yuko Osana:
One-to-Many Association Ability of Chaotic Quaternionic Multidirectional Associative Memory. 111-118 - Masato Nagayoshi, Hajime Murao
An Entropy-Guided Adaptive Co-construction Method of State and Action Spaces in Reinforcement Learning. 119-126 - Pey Yun Goh
A Nodes Reduction Procedure for RBFNDDA through Histogram. 127-134 - Saeed Panahian Fard, Zarita Zainuddin:
Toroidal Approximate Identity Neural Networks Are Universal Approximators. 135-142 - Hirotaka Inoue:
Self-organizing Neural Grove. 143-150 - Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo:
Transfer Learning Using the Online FMM Model. 151-158 - Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols:
A Supervised Methodology to Measure the Variables Contribution to a Clustering. 159-166 - Naoyuki Sato:
Coupling between Spatial Consistency of Neural Firing and Local Field Potential Coherence: A Computational Study. 167-174 - Tianben Ding
Fading Channel Prediction Based on Self-optimizing Neural Networks. 175-182 - Kenzaburo Fujiwara, Takuma Tanaka, Kiyohiko Nakamura:
Invariant Multiparameter Sensitivity of Oscillator Networks. 183-190 - Suiwu Zheng, Linshan Liu, Hong Qiao:
Spatial-Temporal Saliency Feature Extraction for Robust Mean-Shift Tracker. 191-198 - Mirza Mubasher Baig, Mian M. Awais, El-Sayed M. El-Alfy:
BOOSTRON: Boosting Based Perceptron Learning. 199-206 - Mohammed Ghesmoune, Hanene Azzag, Mustapha Lebbah:
G-Stream: Growing Neural Gas over Data Stream. 207-214 - Yingjie Gu, Zhong Jin, Steve C. Chiu:
Combining Active Learning and Semi-supervised Learning Using Local and Global Consistency. 215-222 - Akira Hirose:
Complex-Valued Neural Networks - Recent Progress and Future Directions (Invited Paper). 223-230 - Jungo Moriyasu, Toshimichi Saito:
A Cascade System of Simple Dynamic Binary Neural Networks and Its Sparsification. 231-238 - Hui Wei, Zheng Dong
A Model of V4 Neurons Based on Sparse Coding. 239-246 - László Szilágyi, Sándor Miklós Szilágyi, Béat Hirsbrunner:
A Fast and Memory-Efficient Hierarchical Graph Clustering Algorithm. 247-254 - Gouhei Tanaka, Toshiyuki Yamane, Daiju Nakano, Ryosho Nakane
Hopfield-Type Associative Memory with Sparse Modular Networks. 255-262 - Anjin Liu, Guangquan Zhang, Jie Lu
Concept Drift Detection Based on Anomaly Analysis. 263-270 - Wai-Yan Wan, Chi-Sing Leung, Zi-Fa Han, Ruibin Feng:
Online Learning for Faulty RBF Networks with the Concurrent Fault. 271-278 - Ruibin Feng, Chi-Sing Leung, Kai-Tat Ng
The Performance of the Stochastic DNN-kWTA Network. 279-286 - Desiree Maldonado Carvalho
Modularity Maximization Adjusted by Neural Networks. 287-294 - Yusuke Kondo, Koichiro Yamauchi:
A Dynamic Pruning Strategy for Incremental Learning on a Budget. 295-303 - Victor Parque
Neural Computing with Concurrent Synchrony. 304-311 - Peter Wai-Ming Tsang, Chi-Sing Leung:
A Line-Partitioned Heteroassociative Memory for Storing Binary Fresnel Hologram. 312-318 - Wenye Li:
A Unified Framework for Privacy Preserving Data Clustering. 319-326 - Nooraini Yusoff, Farzana Kabir Ahmad
Spiking Neural Network with Lateral Inhibition for Reward-Based Associative Learning. 327-334 - Tom Gedeon, Xuanying Zhu, Kun He, Leana Copeland:
Fuzzy Signature Neural Networks for Classification: Optimising the Structure. 335-341 - Yuko Osana:
Self-organizing Map-Based Probabilistic Associative Memory. 342-349
Neural Networks and Learning Systems - Applications
- Ruichu Cai, Chang Yuan, Zhifeng Hao, Wen Wen, Lijuan Wang, Weiqi Chen, Zhihao Li:
A Causal Model for Disease Pathway Discovery. 350-357 - Qing Zhang, Minhua Wu, Zhenbo Luo, Youxin Chen:
Enhanced Non-linear Features for On-line Handwriting Recognition Using Deep Learning. 358-365 - Xiurui Xie, Hong Qu, Guisong Liu, Lingshuang Liu:
Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks. 366-373 - Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf:
A Neural Networks Committee for the Contextual Bandit Problem. 374-381 - Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang
Multi-step Predictions of Landslide Displacements Based on Echo State Network. 382-388 - Qinglai Wei, Derong Liu
Discrete-Time Nonlinear Generalized Policy Iteration for Optimal Control Using Neural Networks. 389-396 - El-Sayed M. El-Alfy:
ANFIS-Based Model for Improved Paraphrase Rating Prediction. 397-404 - Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphaël Féraud, Robin Allesiardo:
Contextual Bandit for Active Learning: Active Thompson Sampling. 405-412 - Yifan Nie, Wenge Rong, Yikang Shen, Chao Li, Zhang Xiong:
Choosing the Best Auto-Encoder-Based Bagging Classifier: An Empirical Study. 413-420 - Norhanifah Murli, Nikola K. Kasabov, Bana Handaga
Classification of fMRI Data in the NeuCube Evolving Spiking Neural Network Architecture. 421-428 - Subana Shanmuganathan:
A Hybrid Approach to Pixel Data Mining. 429-437 - Jianmin Wang, Zhe Li, Xiao Li, Youyi Zhao:
A Novel SOH Prediction Framework for the Lithium-ion Battery Using Echo State Network. 438-445 - Ajay Nair, Madhu Chetty, Pramod P. Wangikar:
Significance of Non-edge Priors in Gene Regulatory Network Reconstruction. 446-453 - Jihun Kim, Minho Lee:
Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus. 454-461 - Diána Turcsány, Andrzej Bargiela:
Learning Local Receptive Fields in Deep Belief Networks for Visual Feature Detection. 462-470 - Khairul Anam, Adel Al-Jumaily
Adaptive Wavelet Extreme Learning Machine (AW-ELM) for Index Finger Recognition Using Two-Channel Electromyography. 471-478 - Dengya Zhu, Kok Wai Wong:
Text Categorization Using an Automatically Generated Labelled Dataset: An Evaluation Study. 479-486 - Zhuo Wang, Hongtao Lu:
Online Recommender System Based on Social Network Regularization. 487-494 - Xin Xin, Zhirun Liu, Heyan Huang:
A Nonlinear Cross-Site Transfer Learning Approach for Recommender Systems. 495-502 - Junhua Li, Andrzej Cichocki:
Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG. 503-510 - Kasim Terzic, David Lobato, Mário Saleiro, J. M. Hans du Buf:
A Fast Neural-Dynamical Approach to Scale-Invariant Object Detection. 511-518 - Kasun Gunawardana, Jayantha Rajapakse, Damminda Alahakoon:
Improving Quantization Quality in Brain-Inspired Self-organization for Non-stationary Data Spaces. 519-526 - Toshifumi Minemoto, Teijiro Isokawa, Haruhiko Nishimura
Utilizing High-Dimensional Neural Networks for Pseudo-orthogonalization of Memory Patterns. 527-534 - B. Chandra, Rajesh Kumar Sharma:
Adaptive Noise Schedule for Denoising Autoencoder. 535-542 - Davide Bacciu, Alessio Micheli
Modeling Bi-directional Tree Contexts by Generative Transductions. 543-550 - Manjusri Ishwara, Jayantha Rajapakse, Damminda Alahakoon:
A Novel Architecture for Capturing Discrete Sequences Using Self-organizing Maps. 551-558 - Habib Shah, Tutut Herawan
An Improved Gbest Guided Artificial Bee Colony (IGGABC) Algorithm for Classification and Prediction Tasks. 559-569 - Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan
Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model. 570-577 - Mark Abernethy, Shri M. Rai:
Cooperative Feature Level Data Fusion for Authentication Using Neural Networks. 578-585 - Leana Copeland, Tom Gedeon, B. Sumudu U. Mendis:
Fuzzy Output Error as the Performance Function for Training Artificial Neural Networks to Predict Reading Comprehension from Eye Gaze. 586-593 - Wei Xiang, Yue Zhou:
Part-Based Tracking with Appearance Learning and Structural Constrains. 594-601 - Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Estimation of Hidden Markov Chains by a Neural Network. 602-609 - Yuanyuan Man, Shuai Wang, Tian-Yu Zhang, T. J. Wong, Irwin King
Corporate Leaders Analytics and Network System (CLANS): Constructing and Mining Social Networks among Corporations and Business Elites in China. 610-618 - Yoichi Hayashi, Yuki Tanaka, Tomoki Izawa, Shota Fujisawa:
Characteristics and Potential Developments of Multiple-MLP Ensemble Re-RX Algorithm. 619-627
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