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ORCIDIJCNN 2006: Vancouver, BC, Canada
- Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006. IEEE 2006, ISBN 0-7803-9490-9
Neural Hardware I
- Johannes Schemmel, Andreas Grübl, Karlheinz Meier, Eilif Mueller:
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model. 1-6 - Eric K. C. Tsang, Bertram Emil Shi
:
Active Binocular Gaze Control Inspired by Superior Colliculus. 7-14 - Ocean Y. H. Cheung, Philip Heng Wai Leong, Eric K. C. Tsang, Bertram Emil Shi:
A Scalable FPGA Implementation of Cellular Neural Networks for Gabor-type Filtering. 15-20 - Johannes Fieres, Johannes Schemmel, Karlheinz Meier:
Training convolutional networks of threshold neurons suited for low-power hardware implementation. 21-28 - Liang Zhang, Joaquin Sitte:
Local Cluster Neural Network On-chip Training. 29-34 - Ming Z. Zhang, Ming-Jung Seow, Vijayan K. Asari:
A Hardware Architecture for Color Image Enhancement Using a Machine Learning Approach with Adaptive Parameterization. 35-40
Reinforcement Learning Theory I
- Jelmer van Ast, Robert Babuska:
Dynamic Exploration in Q(lambda)-learning. 41-46 - Xiaolong Ma, Konstantin Likharev:
Global Reinforcement Learning in Neural Networks with Stochastic Synapses. 47-53 - Johane Takeuchi, Osamu Shouno, Hiroshi Tsujino:
Connectionist Reinforcement Learning with Cursory Intrinsic Motivations and Linear Dependencies to Multiple Representations. 54-61 - Thaddeus T. Shannon:
Qualitative Adaptive Critics. 62-67 - Ju Jiang, Mohamed S. Kamel:
Aggregation of Reinforcement Learning Algorithms. 68-72 - Jan Peters, Stefan Schaal:
Reinforcement Learning for Parameterized Motor Primitives. 73-80
Neuroinformatics
- Vicenç Gómez, Andreas Kaltenbrunner, Vicente López:
Event modeling of message interchange in stochastic neural ensembles. 81-88 - Fernando Buarque de Lima Neto, Philippe De Wilde:
Venn-like models of neo-cortex patches. 89-96 - Antony Browne:
Using Neural Networks with Automatic Relevance Determination to Identify Regions of the Thalamus Implicated in Schizophrenia. 97-101 - Marc de Kamps:
An analytic solution of the reentrant Poisson master equation and its application in the simulation of large groups of spiking neurons. 102-109 - Thierry Viéville, Pierre Kornprobst:
Modeling Cortical Maps with Feed-Backs. 110-117 - Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt:
Simulation of young neocortical networks by spatially coupled oscillators. 118-122
Learning in Kernel Methods
- Kaan Ataman, W. Nick Street, Yi Zhang:
Learning to Rank by Maximizing AUC with Linear Programming. 123-129 - Olutayo O. Oladunni, Theodore B. Trafalis:
A Pairwise Reduced Kernel-based Multi-classification Tikhonov Regularization Machine. 130-137 - Carlos Alzate, Johan A. K. Suykens:
A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods. 138-144 - Roland Vollgraf, Klaus Obermayer:
Sparse Optimization for Second Order Kernel Methods. 145-152 - Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori:
The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator. 153-158 - Ping Sun, Xin Yao:
Greedy forward selection algorithms to Sparse Gaussian Process Regression. 159-165
Neural Modeling of Emotion
- Jia-Jun Wong, Siu-Yeung Cho:
Recognizing Human Emotion from Partial Facial Features. 166-173 - Nickolaos F. Fragopanagos, Nienke J. H. Korsten, John G. Taylor:
A neural model of the enhancement of perception caused by emotional cues. 174-180 - Bing Lu, Walter M. Yamada, Theodore W. Berger:
Nonlinear Queuing Model for Dynamic Synapse with Multiple Transmitter Pools. 181-187 - Steven L. Bressler, Craig G. Richter, Yonghong Chen, Mingzhou Ding:
Top-Down Cortical Influences in Visual Expectation. 188-194 - Daniel S. Levine:
Emotion and Decision Making: Short-term Reactions versus Long-term Evaluations. 195-202
Complex-Valued Neural Networks I
- Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima:
A Study on Learning with a Quantum Neural Network. 203-206 - Gerasimos G. Rigatos:
Energy spectrum of quantum associative memories. 207-212 - Yasuaki Kuroe, Yuriko Taniguchi:
Models of Self-Correlation Type Complex-Valued Associative Memories and Their Performance Comparison. 213-217 - Teijiro Isokawa, Haruhiko Nishimura, Naotake Kamiura, Nobuyuki Matsui:
Fundamental Properties of Quaternionic Hopfield Neural Network. 218-223 - Katsuhiro Mori, Teijiro Isokawa, Noriaki Kouda, Nobuyuki Matsui, Haruhiko Nishimura:
Qubit Inspired Neural Network towards Its Practical Applications. 224-229 - George M. Georgiou:
Exact Interpolation and Learning in Quadratic Neural Networks. 230-234
Reinforcement Learning Theory II
- Nancy Fulda, Dan Ventura:
Learning a Rendezvous Task with Dynamic Joint Action Perception. 235-240 - Mohammad G. Azar, Majid Nili Ahmadabadi, Amir Massoud Farahmand, Babak Nadjar Araabi:
Learning to Coordinate Behaviors in Soft Behavior-Based Systems Using Reinforcement Learning. 241-248 - Krishna P. Miyapuram, Raju S. Bapi, Chandrasekhar V. S. Pammi, Ahmed, Kenji Doya:
Hierarchical Chunking during Learning of Visuomotor Sequences. 249-253 - Maryam Shokri, Hamid R. Tizhoosh, Mohamed Kamel:
Opposition-Based Q(lambda) Algorithm. 254-261 - Myriam Abramson, William Chao, Ranjeev Mittu:
Training Coordination Proxy Agents. 262-269 - Nicolas Brodu:
Learning using Dynamical Regime Identification and Synchronization. 270-276
Neuroscience & Computational Neuroscience I
- Abraham K. Ishihara, Johan van Doornik, Terence D. Sanger:
Failure Modes in Feedback Error Learning. 277-284 - Karina Odinaev, Igal Raichelgauz, Yehoshua Y. Zeevi:
Cliques in Neural Ensembles as Perception Carriers. 285-292 - Atsuo Suemitsu, Masahiko Morita:
Neural Network Model of Context-Dependent Neuronal Activity in Inferotemporal Cortex. 293-298 - Alan Rosen, David B. Rosen:
A Neural Network Model of the Connectivity of the Biological Somatic Sensors. 299-306 - Rolf Eckmiller, Oliver Baruth, Dirk Neumann:
On Human Factors for Interactive Man-Machine Vision: Requirements of the Neural Visual System to transform Objects into Percepts. 307-311 - Lennart Gustafsson, Andrew P. Paplinski:
Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks. 312-318
Support Vector Machines & Kernel Methods I
- Masayuki Karasuyama, Daisuke Kitakoshi, Ryohei Nakano:
Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error. 319-326 - Tao Ban, Shigeo Abe:
Implementing Multi-class Classifiers by One-class Classification Methods. 327-332 - Daniel T. H. Lai, Nallasamy Mani, Marimuthu Palaniswami:
An inexact penalty method for the semiparametric Support Vector Machine classifier. 333-338 - Leonardo V. Ferreira, Eugenius Kaszkurewicz, Amit Bhaya:
Parallel Implementation of Gradient-Based Neural Networks for SVM Training. 339-346 - Stefan Lessmann, Sven F. Crone, Robert Stahlbock:
An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning. 347-354 - Jun Guo, Norikazu Takahashi, Tetsuo Nishi:
Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression. 355-362
Neurodynamics of Higher-Level Cognitive Behavior I
- J. A. Scott Kelso, Emmanuelle Tognoli:
Metastability in the brain. 363-368 - Walter J. Freeman, Giuseppe Vitiello:
Exploration of relations between many-body field theory and the nonlinear brain dynamics that underlies cognitive behavior. 369-376 - Leonid I. Perlovsky:
Neural Dynamic Logic of Consciousness: the Knowledge Instinct. 377-383 - Steven L. Bressler, Craig G. Richter, Yonghong Chen, Mingzhou Ding:
Top-Down Cortical Influences in Visual Expectation. 384-390
Biometrics: Algorithms, Architectures & Applications I
- Yuheng Zhang, Qinghan Xiao:
An Optimized Approach for Fingerprint Binarization. 391-395 - Deepak Mishra, Abhishek Yadav, Ashutosh Dwivedi, Prem Kumar Kalra:
A Neural Network Using Single Multiplicative Spiking Neuron for Function Approximation and Classification. 396-403 - Wen-Chang Cheng:
Neural-Network-Based Photometric Stereo for 3D Surface Reconstruction. 404-410
Towards Human-Level Intelligence
- James A. Anderson, Paul Allopenna:
The Ersatz Brain Project: Neural Inspiration, Cognitive Application. 411-418 - Robert Hecht-Nielsen:
The Mechanism of Thought. 419-426 - L. Andrew Coward:
Constraints on the Design Process for Systems with Human Level Intelligence. 427-434 - Wlodzislaw Duch:
Computational Creativity. 435-442 - Alexei V. Samsonovich, Giorgio A. Ascoli, Kenneth A. De Jong:
Computational Assessment of the 'Magic' of Human Cognition. 443-450 - Ben Goertzel:
Patterns, Hypergraphs and Embodied General Intelligence. 451-458
Complex-Valued Neural Networks II
- Ikuko Nishikawa, Takeshi Iritani, Kazutoshi Sakakibara:
Improvements of the Traffic Signal Control by Complex-Valued Hopfield Networks. 459-464 - Zhe Chen, Jinwen Ma:
Contrast Functions for Non-circular and Circular Sources Separation in Complex-Valued ICA. 465-472 - Igor N. Aizenberg, Dmitriy Paliy, Jaakko Astola:
Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem. 473-480 - Andriyan Bayu Suksmono, Astri Handayani, Akira Hirose:
Snake in Phase Domain: A Method for Boundary Detection of Objects in Phase Images. 481-485 - Howard E. Michel, Abdul Ahad S. Awwal, David Rancour:
Artificial Neural Networks Using Complex Numbers and Phase Encoded Weights - Electronic and Optical Implementations. 486-491 - Akira Hirose, Tomoaki Higo, Ken Tanizawa:
Holographic Three-Dimensional Movie Generation with Frame Interpolation Using Coherent Neural Networks. 492-497
Reinforcement Learning Applications
- Eric A. Antonelo, Albert-Jan Baerveldt, Thorsteinn S. Rögnvaldsson, Maurício F. Figueiredo:
Modular Neural Network and Classical Reinforcement Learning for Autonomous Robot Navigation: Inhibiting Undesirable Behaviors. 498-505 - Roman Ilin, Robert Kozma, Paul J. Werbos:
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. 506-510 - Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama:
A Reinforcement Learning Framework for Medical Image Segmentation. 511-517 - Hossein Javaherian, Derong Liu, Olesia Kovalenko:
Automotive Engine Torque and Air-Fuel Ratio Control Using Dual Heuristic Dynamic Programming. 518-525 - Jan Eriksson, Alessandro E. P. Villa:
Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels. 526-533 - Jian Li, Laiwan Chan:
Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation. 534-541
Neuroscience & Computational Neuroscience II
- Huaien Luo, Sadasivan Puthusserypady:
NARX Neural Networks for Dynamical Modelling of fMRI Data. 542-546 - Nathan A. Dunn, Jonathan T. Pierce-Shimomura, John S. Conery, Shawn R. Lockery:
Clustered Neural Dynamics Identify Motifs for Chemotaxis in Caenorhabditis elegans. 547-554 - Hiroyuki Kambara, Kyoungsik Kim, Duk Shin, Makoto Sato:
Motor Control-Learning Model for Reaching Movements. 555-562 - Thierry Viéville:
About biologically plausible trajectory generators. 563-572 - Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma:
Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method. 573-580 - Il Park, Dongming Xu, Thomas B. DeMarse, José C. Príncipe:
Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space. 581-586
Support Vector Machines & Kernel Methods II
- Boyang Li, Jinglu Hu, Kotaro Hirasawa, Pu Sun, Kenneth A. Marko:
Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification. 587-592 - Jayadeva, Reshma Khemchandani, Suresh Chandra:
Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting. 593-598 - Jiyoung Sun, Sungzoon Cho:
Pattern Selection for Support Vector Regression based on Sparseness and Variability. 599-602 - Shian-Chang Huang, Tung-Kuang Wu:
Wavelet-Based Relevance Vector Machines for Stock Index Forecasting. 603-609 - Matthew Boardman, Thomas Trappenberg:
A Heuristic for Free Parameter Optimization with Support Vector Machines. 610-617 - Andrea Boni, Alessandro Zorat:
FPGA Implementation of Support Vector Machines with Pseudo-Logarithmic Number Representation. 618-624
Neurodynamics of Higher-Level Cognitive Behavior II
- Daniel S. Levine:
Modeling the Evolution of Decision Rules in the Human Brain. 625-631 - Robert Kozma:
Influence of Criticality on 1/falphaSpectral Characteristics of Cortical Neuron Populations. 632-637 - Colin Molter, Utku Salihoglu, Hugues Bersini:
How to prevent spurious data in a chaotic brain. 638-644 - Emílio Del Moral Hernandez:
Fragmented Basins of Attraction of Recursive Processing Elements in Associative Neural Networks and its Impact on Pattern Recovery Performance. 645-652 - Jin Zhang, Guang Li, Walter J. Freeman:
Application of Novel Chaotic Neural Networks to Mandarin Digital Speech Recognition. 653-658 - José Luis Rosselló, Sebastià A. Bota, Vicent Canals, Ivan de Paúl, Jaume Segura:
A Fully CMOS Low-Cost Chaotic Neural Network. 659-663
Biometrics: Algorithms, Architectures & Applications II
- S. Nalin Pradeep, Mayur D. Jain, C. Prakash, Raman Balasubramanian:
Palmprint Recognition: Two level Structure Matching. 664-669 - Robert Paquet, Abbas Z. Kouzani:
Advances in 3D-Based Face Recognition. 670-675 - Svetlana N. Yanushkevich:
Synthetic Biometrics: A Survey. 676-683 - Stephane Armand, Michael Blumenstein, Vallipuram Muthukkumarasamy:
Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification. 684-691 - Youngchan Han, Jungwoo Nam, Nohjun Park, Hakil Kim:
Resolution and Distortion Compensation based on Sensor Evaluation for Interoperable Fingerprint Recognition. 692-698 - Mosaab Daoud, Stefan C. Kremer:
Neural and Statistical Classification to Families of Bio-sequences. 699-704
Fuzzy Neural Networks
- Richard Jayadi Oentaryo, Michel Pasquier:
GENSOFNN-YAGER: A Novel Hippocampus-like Learning Memory System Realizing Yager Inference. 705-712 - Dipti Srinivasan, Saptak Sanyal, Woei Wan Tan:
Hybrid Neuro-Fuzzy Technique for Automated Traffic Incident Detection. 713-719 - Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
Experiments with Safe ARTMAP and Comparisons to Other ART Networks. 720-727 - Shuangwen Sheng, Robert X. Gao:
Optimization of ANFIS with Applications in Machine Defect Severity Classification. 728-734 - Chin-Ming Hong, Chih-Ming Chen, Shyuan-Yi Chen, Chao-Yen Huang:
A Novel and Efficient Neuro-Fuzzy Classifier for Medical Diagnosis. 735-741 - Kai Keng Ang, Chai Quek:
Rough set-based neuro-fuzzy system. 742-749
Posters
- Seiji Miyoshi, Masato Okada:
Statistical Mechanics of Online Learning for Ensemble Teachers. 750-755 - Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa:
Training Radial Basis Functions by Gradient Descent. 756-762 - Sana'a W. Al-Sayegh:
Hybrid Neural Network. 763-770 - Yingfeng Wang, Xiaoqin Zeng:
Using a Sensitivity Measure to Improve Training Accuracy and Convergence for Madalines. 771-777 - Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sarti, Franco Scarselli, Marco Maggini, Marco Gori:
A Comparison between Recursive Neural Networks and Graph Neural Networks. 778-785 - Jing Li, Bao-Liang Lu:
A New Supervised Clustering Algorithm Based on Min-Max Modular Network with Gaussian-Zero-Crossing Functions. 786-793 - Wieslaw Sienko, Dariusz Zamojski:
Hamiltonian Neural Networks Based Classifiers and Mappings. 794-798 - Ming Dong, Jing Wu:
Localized Support Vector Machines for Classification. 799-805 - Hazem M. El-Bakry, Qiangfu Zhao:
Fast Neural Implementation of PCA for Face Detection. 806-811 - Chee Wee Phua, Alan Blair:
An Improved Minibrain That Learns Through Both Positive and Negative Feedback. 812-819 - Seungtaek Kim, Sungzoon Cho:
Prototype based outlier detection. 820-826 - Jianchuan Yin, Fang Dong, Nini Wang:
A Novel Sequential Learning Algorithm for RBF Networks and Its Application to Dynamic System Identification. 827-834 - Salvatore Calcagno, Antonino Greco, Francesco Carlo Morabito, Mario Versaci:
A Comparison between Soft Computing and Statistic Approaches to Identify Plasma Columns in Tokamak Reactors. 835-842