IJCNN 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 
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
Neuroinformatics
Learning in Kernel Methods
Neural Modeling of Emotion
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
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
Biometrics:
Algorithms,
Architectures & Applications I
Towards Human-Level Intelligence
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, Mauricio 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, Jose C. Principe:
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, Marko 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 P. 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
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, Chin-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
- Juha Karhunen, Tomas Ukkonen:
Generalizing Independent Component Analysis for Two Related Data Sets.
843-850
- Erika Coppola, Barbara Tomassetti, Marco Verdecchia, Frank S. Marzano, Guido Visconti:
Small-catchment flood forecasting and drainage network extraction using computational intelligence.
851-858
- S. Mohammad Sadeghzadeh, Meghdad Ansarian:
Neuro-Fuzzy Control of SSSC and SMES for Transient Stability Improvement of Power System Transmission Lines.
859-863
- Huilan Jiang, Tangsheng Liu, Mengbin Wang:
Direct Estimation of Fault Tolerance of Feed Forward Neural Networks in Pattern Recognition.
864-869
- Jianghua Bao, Paul W. Munro:
Structural Mapping with Identical Elements Neural Network.
870-874
- Narri Yadaiah, Lakshman Singh, Raju S. Bapi, V. Seshagiri Rao, Bulusu Lakshmana Deekshatulu, Atul Negi:
MultisensorData Fusion Using Neural Networks.
875-881
- Ahmad Banakar, Mohammad Fazle Azeem:
Generalized Wavelet Neural Network Model and its Application in Time Series Prediction.
882-886
- Ana M. González, José R. Dorronsoro:
A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons.
887-891
- Giuseppe Acciani, Gioacchino Brunetti, Ernesto Chiarantoni, Girolamo Fornarelli:
Automatic Evaluation of Flaws in Pipes by means of Ultrasonic Waveforms and Neural Networks.
892-898
- Robert X. Gao, Changting Wang, Ruqiang Yan, Arnaz Malhi:
A Neural Network Approach to Bearing Health Assessment.
899-906
- Justin Bray, Brijesh Verma, Xue Li, Wade He:
A Neural Network based Technique for Automatic Classification of Road Cracks.
907-912
- Rozaida Ghazali, Abir Jaafar Hussain, Wael El-Deredy:
Application of Ridge Polynomial Neural Networks to Financial Time Series Prediction.
913-920
- Sai-Ho Ling, F. H. Frank Leung, Hak-Keung Lam:
A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition.
921-928
- Tiago V. Barra, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben:
An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification.
929-935
- Cuimei Bo, Zhiquan Wang, Jinguo Lin, Shi Zhang, Guangming Zhang:
The Online Models based Fault Tolerant Control for Multiple Sensor Fault of Multi-variable Nonlinear Processes.
936-943
- Elham Bavafa, Mohammad Javad Yazdanpanah:
Image Compression using an Enhanced Self Organizing Map Algorithm with Vigilance Parameter.
944-949
- Haruna Matsushita, Yoshifumi Nishio:
Tentacled Self-Organizing Map for Effective Data Extraction.
950-957
- John Hammond, Daniel MacClean, Iren Valova:
A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space.
958-965
- Simon O'Keefe:
SOM-Based Sparse Binary Encoding for AURA Classifier.
966-972
- Cihan Oguz, Martha A. Gallivan:
Identification of a Dynamic Model for a Thin Film Deposition Process using a Self-Organizing Map.
973-980
- Yangsheng Chen, Gangfeng Yan:
Multi-Sensors Data Tracking Fusion Based on a Neural Network Filter.
981-984
- Hsin-Chang Yang, Chung-Hong Lee:
NaviSOM: Automatic Construction of Navigational Structure for Web Pages using Self-organizing Maps.
985-992
- Gilles Hermann, Patrice Wira, Jean-Philippe Urban:
Bi-directional Modularity to Learn Visual Servoing Tasks.
993-1000
- Hikaru Mogami, Masahiko Otake, Naoki Kouno, Yuko Osana:
Self-Organizing Map with Refractoriness and Its Application to Image Retrieval.
1001-1006
- Hamed Shah-Hosseini:
The Time Adaptive Self-Organizing Map is a Neural Network Based on Artificial Immune System.
1007-1014
- Zhigang Zeng, Jun Wang:
Synthesis of Bipolar Associative Memories Based on Cellular Neural Networks with Two-dimensional Space-invariant Templates.
1015-1020
- Ivo Petras:
A Note on the Fractional-Order Cellular Neural Networks.
1021-1024
- Anke Meyer-Bäse, Vera Thümmler, Fabian J. Theis:
Stability Analysis of an Unsupervised Competitive Neural Network.
1025-1028
- Anke Meyer-Bäse, R. Roberts, S. Joshi:
Robust Stability Analysis of a Class of Noise Perturbed Two-Time Scale Neural Networks.
1029-1032
- Dong-Shong Liang, Yaw-Hwang Chen, Chun-Min Wen, Chun-Da Tu, Kwang-Jow Gan, Cher-Shiung Tsai:
The Design of MOS-NDR-Based Cellular Neural Network.
1033-1035
- Xiaodong Gu:
A New Approach to Image Authentication using Local Image Icon of Unit-linking PCNN.
1036-1041
- Narri Yadaiah, G. Sowmya:
Neural Network Based State Estimation of Dynamical Systems.
1042-1049
- David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt:
Reservoir-based techniques for speech recognition.
1050-1053
- ZhiHang Chen, Chengwen Ni, Yi Lu Murphey:
Neural Network Approaches for Text Document Categorization.
1054-1060
- Mohammad Fazle Azeem, Ahmad Banakar, Vinod Kumar:
Comparative Study of Different Types of Wavelet Functions in Neural Network.
1061-1066
- Rigui Zhou, Hong Yuan Zheng, Nan Jiang, Qiulin Ding:
Self-Organizing Quantum Neural Network.
1067-1072
- Pei Ling Lai, Gayle Leen, Colin Fyfe:
A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis.
1073-1077
- Tuan A. Duong, De-Ling Liu, Isik Kanik:
Neural Network Prediction of Reduced Ion Mobility of Chemical Compound Based on Molecular Structure.
1078-1084
- Kuo-Chen Li, Dar-Jen Chang, Yuan Yan Chen:
High-speed Bi-directional Function Approximation using Plausible Neural Networks.
1085-1090
- Lech M. Grzesiak, Bartlomiej Ufnalski:
Neural-Network-based Programmable State Feedback Controller for Induction Motor Drive.
1091-1097
- Piotr Ciskowski:
Efficient Modeling of Contextual Mappings by Context-dependent Feedforward and Recurrent Neural Nets.
1098-1105
- Dixin Guo, Jimin Chen, Yuhong Cheng:
Laser Cutting Parameters Optimization Based on Artificial Neural Network.
1106-1111
- Almila Bahar, Evren Giiner, Canan Ozgen, Ugur Halici:
Design of State Estimators for the Inferential Control of an Industrial Distillation Column.
1112-1115
- Sandeep Chandana, René V. Mayorga:
Rough Set Theory based Neural Network Architecture.
1116-1122
- Kazushi Ikeda:
On Geometric Structure of Quasi-Additive Learning Algorithms.
1123-1127
- Pablo Zegers, Jose G. Johnson:
Consistent Density Function Estimation with Multilayer Perceptrons.
1128-1135
- Yonghong Huang, Deniz Erdogmus, Santosh Mathan, Misha Pavel:
Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks.
1136-1142
- Pei Ling Lai, Colin Fyfe:
A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation.
1143-1149
- Chih-Cheng Yang, Wan-Jui Lee, Shie-Jue Lee:
Learning of Kernel Functions in Support Vector Machines.
1150-1155
- Hirotaka Nakayama, Yeboon Yun:
Support Vector Regression Based on Goal Programming and Multi-objective Programming.
1156-1161
- Rameswar Debnath, Haruhisa Takahashi:
SVM Training: Second-Order Cone Programming versus Quadratic Programming.
1162-1168
- Ivor W. Tsang, James T. Kwok, Shutao Li:
Learning the Kernel in Mahalanobis One-Class Support Vector Machines.
1169-1175
- Satarupa Banerjee, Lillian N. Cassel:
Web Host Access Tool: A Support Vector Machine Approach.
1176-1183
- Kien-Ping Chung, Kok Wai Wong, Chun Che Fung:
Reducing User Log size in an Inter-Query Learning Content Based Image Retrieval (CBIR) System with a Cluster Merging approach.
1184-1191
- Jayadeva, Reshma Khemchandani, Suresh Chandra:
Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative.
1192-1197
- Steven Van Vaerenbergh, Javier Vía, Ignacio Santamaría:
Online Kernel Canonical Correlation Analysis for Supervised Equalization of Wiener Systems.
1198-1204
- Kuo-Ping Wu, Sheng-De Wang:
Choosing the Kernel parameters of Support Vector Machines According to the Inter-cluster Distance.
1205-1211
- Takashi Onoda, Hiroshi Murata, Seiji Yamada:
Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD.
1212-1219
- Ben Goertzel, James Venuto:
Accurate SVM Text Classification for Highly Skewed Data Using Threshold Tuning and Query-Expansion-Based Feature Selection.
1220-1225
- Deborah Duong, James Venuto, Ben Goertzel, Ryan Richardson, Shawn Bohner, Edward A. Fox:
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors.
1226-1230
- Bai Yifeng, Xiao Jian, Yu Long:
Kernel Partial Least-Squares Regression.
1231-1238
- Iryna Nischenko, Elsa M. Jordaan:
Confidence of SVM Predictions using a Strangeness Measure.
1239-1246
- Bao Rong Chang, Hsiu Fen Tsai:
Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH.
1247-1253
- Sunho Park, Seungjin Choi:
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement.
1254-1259
- Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson:
Building Neural Network Ensembles using Genetic Programming.
1260-1265
- Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez:
Pruning in Ordered Regression Bagging Ensembles.
1266-1273
- Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer:
On Combining Backpropagation with Boosting.
1274-1277
- Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm.
1278-1283
- Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Designing a New Multilayer Feedforward Modular Network for Classification Problems.
1284-1289
- Pavel Kordík, Jan Saidl, Miroslav Snorek:
Evolutionary Search for Interesting Behavior of Neural Network Ensembles.
1290-1293
- Dingding Chen, John Quirein, Harry Smith, Syed Hamid, Jeff Grable, S. Reed:
Variable Input Neural Network Ensembles in Generating Synthetic Well Logs.
1294-1301
- Kin Keung Lai, Lean Yu, Shouyang Wang, Wei Huang:
Neural-Network-based Metalearning for Distributed Text Information Retrieval.
1302-1309
- Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
Using Accuracy and Diversity to Select Classifiers to Build Ensembles.
1310-1316
- Hazem M. El-Bakry:
A Simple Design for High Speed Normalized Neural Networks Implemented in the Frequency Domain for Pattern Detection.
1317-1324
- Hazem M. El-Bakry:
Fast Co-operative Modular Neural Processors for Human Face Detection.
1325-1332
- Gao Daqi, Li Jie:
Kernel Fisher Discriminants and Kernel Nearest Neighbor Classifiers: A Comparative Study for Large-Scale Learning Problems.
1333-1338
- Jahangheer S. Shaik, Mohammed Yeasin:
Visualization of High Dimensional Data using an Automated 3D Star Co-ordinate System.
1339-1346
- Jiayan Jiang, LiMing Zhang:
Extending Manifold Leaning Algorithms by Neural Networks.
1347-1353
- Yuexian Hou, Jingyi Wu, Pilian He:
Improving classification precision by implicit kernels motivated by manifold learning.
1354-1359
- Qingzhong Liu, Andrew H. Sung:
Recursive Feature Addition for Gene Selection.
1360-1367
- Ashok Patel, Bart Kosko:
Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons.
1368-1375
- Akaysha C. Tang, Matthew T. Sutherland, Christopher J. McKinney, Jing-Yu Liu, Yan Wang, Lucas C. Parra, A. D. Gerson, Paul Sajda:
Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing.
1376-1383
- Vahid Taimouri, Gholam-Ali Hossein-Zadeh, Hamid Soltanian-Zadeh:
Spatially Adaptive Kernels for Adaptive Spatial Filtering of fMRI Data.
1384-1388
- Mohammad Soleymani, Gholam-Ali Hossein-Zadeh, Hamid Soltanian-Zadeh:
Fixed and Random Effect Analysis of Multi-subject Spatial Activation Maps in Wavelet Domain.
1389-1392
- Narendra S. Chaudhari, Nirmal Dagdee, Meng Joo Er:
Hard-limiter Neuron based Turing Machine Simulation with Constant Time Read/Write Operation.
1393-1397
- Jong-Pil Lee, Dae-Jong Lee, Pyeong-Shik Ji, Jae-Yoon Lim, Sung-Soo Kim:
Diagnosis of Power Transformer using Fuzzy Clustering and Radial Basis Function Neural Network.
1398-1404
- Hong-Dar Lin, Chih-Hao Chien:
Automated Detection of Color Non-Uniformity Defects in TFT-LCD.
1405-1412
- Seung-Hyun Lee, Jaekyoung Moon, Minho Lee:
A Region of Interest Based Image Segmentation Method using a Biologically Motivated Selective Attention Model.
1413-1420
- Satoshi Matsuda:
A Neural Network Model for the Decision-Making Process Based on ANP.
1421-1426
- Abel Nyamapfene, Khurshid Ahmad:
Unsupervised Multi-net Simulation: An Application to Child Development.
1427-1433
- Y. Ishikawa, Ryohei Nakano:
Landscape of a Likelihood Surface for a Gaussian Mixture and its use for the EM Algorithm.
1434-1440
- Yuta Wada, Ken-ichi Tokunaga:
Estimation of stochastic representation of via-points in human motion control by reinforcement learning.
1441-1446
- Robert G. Escalante, Heidar A. Malki:
Comparison of Artificial Neural Network Architectures and Training Algorithms for Solving the Knight's Tours.
1447-1450
- Rong-Jong Wai, Jeng-Dao Lee, Chia-Chin Chu:
Intelligent Decoupled Control for Linear Induction Motor Drive.
1451-1457
- Zhenfu Bi, Fusheng Wang, Congcong Liu:
Getting parameters in power systems based on adaptive linear neural network.
1458-1462
- Lichen Liang, Vladimir Cherkassky, David A. Rottenberg:
Spatial SVM for feature selection and fMRI activation detection.
1463-1469
- Khalid Benabdeslem:
Descendant hierarchical support vector machine for multi-class problems.
1470-1475
- Yoshitsugu Kakemoto, Shinichi Nakasuka:
The Learning and Dynamics of VSF-Network.
1476-1482
Neural Hardware II
- Yan Meng:
A Mobile Vision System with Reconfigurable Intelligent Agents.
1483-1488
- Hiroomi Hikawa:
Vector Quantization System Based on Scalar SOM/AND-OR Hybrid Network.
1489-1496
- Alejandro Linares-Barranco, Rafael Paz-Vicente, Gabriel Jiménez, Juan L. Pedreño-Molina, Javier Molina-Vilaplana, Juan López Coronado:
AER Neuro-Inspired interface to Anthropomorphic Robotic Hand.
1497-1504
- Katsutoshi Saeki, Yugo Hayashi, Yoshifumi Sekine:
Extraction of Phase Information Buried in Fluctuation of a Pulse-type Hardware Neuron Model Using STDP.
1505-1510
- Yajie Chen, Steve Hall, Liam McDaid, Octavian Buiu, Peter M. Kelly:
On the Design of a Low Power Compact Spiking Neuron Cell Based on Charge-Coupled Synapses.
1511-1517
- Puxuan Dong, Griff L. Bilbro, Mo-Yuen Chow:
Implementation of Artificial Neural Network for Real Time Applications Using Field Programmable Analog Arrays.
1518-1524
Supervised Learning I
- César Hervás-Martínez, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez:
Classification by means of Evolutionary Product-Unit Neural Networks.
1525-1532
- Pablo Zegers, Jose G. Johnson:
Exponential Transitions: Telltale Sign of Consistency in Learning Systems.
1533-1539
- Takase Haruhiko, Kita Hidehiko, Hayashi Terumine:
Fault tolerant training algorithm for multi-layer neural networks focused on hidden unit activities.
1540-1545
- Chang Liu, Jing Hua, Lixin Wang, Ruwei Dai:
An Integrative Neural Network with Feedback Control for Classification.
1546-1553
- Dario Albesano, Roberto Gemello, Pietro Laface, Franco Mana, Stefano Scanzio:
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting.
1554-1561
- Mark Brudnak:
Vector-Valued Support Vector Regression.
1562-1569
Modeling the Evolution & Acquisition of Language
- Leonid I. Perlovsky:
Integrated Emotions, Cognition, and Language.
1570-1575
- Angelo Cangelosi, Emmanouil Hourdakis, Vadim Tikhanoff:
Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots.
1576-1582
- José F. Fontanari, Leonid I. Perlovsky:
Meaning creation and communication in a community of agents.
1583-1588
- Anastasios-Antonios Toulkeridis, Vassilios Petridis:
From Signaling to Word-Combination, a Layered Approach.
1589-1595
- Francis C. K. Wong, James W. Minett, William S.-Y. Wang:
Reassessing Combinatorial Productivity Exhibited by Simple Recurrent Networks in Language Acquisition.
1596-1603
- Nancy Chang, Eva Mok:
A Structured Context Model for Grammar Learning.
1604-1611
Applications of Support Vector Machines & Kernel Methods
- Feihong Wu:
Comparing Kernels for Predicting Protein Binding Sites from Amino Acid Sequence.
1612-1616
- Wei-Chiang Hong, Ping-Feng Pai, Shun-Lin Yang, Robert Theng:
Highway traffic forecasting by support vector regression model with tabu search algorithms.
1617-1621
- Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Local Support Vector Regression for Financial Time Series Prediction.
1622-1627
- Nancy Arana-Daniel, Eduardo Bayro-Corrochano:
MIMO SVMs for 3D object classification.
1628-1635
- D. Srikrishna Satish, C. Chandra Sekhar:
Kernel based Clustering and Vector Quantization for Speech Segmentation.
1636-1641
- Clodoaldo Ap. M. Lima, Rafael Ferrari, Helder Knidel, C. Junqueira, Romis de Faissol Attux, João Marcos Travassos Romano, Fernando J. Von Zuben:
Support Vector Clustering Applied to Digital Communications.
1642-1648
Performance Prediction Challenge I
Computational Intelligence in Power Systems I - Identification & Estimation
Signal Processing & Multi-Media
- Pinaki Shankar Chanda, Sungjin Park, Tae Ik Kang:
A Binaural Synthesis with Multiple Sound Sources Based on Spatial Features of Head-related Transfer Functions.
1726-1730
- Jia-Ching Wang, Jhing-Fa Wang, Kuok Wai He, Cheng-Shu Hsu:
Environmental Sound Classification using Hybrid SVM/KNN Classifier and MPEG-7 Audio Low-Level Descriptor.
1731-1735
- Masaya Ohta, Hideyuki Yamada, Katsumi Yamashita:
BER Performance Improvement of Biased PCC-OFDM with Neural Phase Rotator by Suppressing ICI.
1736-1741
- Ross W. Deming, Shawn Higbee, Derek Dwyer, Michael Welser, Leonid I. Perlovsky, Paola Pellegrini:
Adaptive Estimation for Spectral-Temporal Characterization of Energetic Transient Events.
1742-1749
- Hung-Jen Wang, Chuan-Yu Chang, Sheng-Wen Pan:
A DWT-based Robust Watermarking Scheme with Fuzzy ART.
1750-1757
- Xin Song, Jinkuan Wang, Yinghua Han, Dan Tian:
Neural Network-Based Robust Adaptive Beamforming.
1758-1763
Supervised Learning II
Data Mining & Knowledge Discovery
- Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli:
A Self-Organising Map Approach for Clustering of XML Documents.
1805-1812
- Nghia Tran, Christophe G. Giraud-Carrier, Kevin D. Seppi, Sean Warnick:
Cooperation-based Clustering for Profit-maximizing Organizational Design.
1813-1817
- Elsa M. Jordaan, Iryna Nischenko:
Data Analysis and Confidence based on SVM Density Estimation.
1818-1824
- Haixuan Yang, Irwin King, Michael R. Lyu:
Predictive Random Graph Ranking on the Web.
1825-1832
- Koichi Odajima, Yoichi Hayashi, Rudy Setiono:
Greedy rule generation from discrete data and its use in neural network rule extraction.
1833-1839
- Michael J. Watts, Susan P. Worner:
Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest Species.
1840-1845
Probabilistic & Information-Theoretic Methods
- Yiwen Wang, António R. C. Paiva, Jose C. Principe:
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering.
1846-1850
- Jian-Wu Xu, Puskal P. Pokharel, António R. C. Paiva, Jose C. Principe:
Nonlinear Component Analysis Based on Correntropy.
1851-1855
- Aysegul Gunduz, Anant Hegde, Jose C. Principe:
Correntropy as a Novel Measure for Nonlinearity Tests.
1856-1862
- Jose Delpiano, Pablo Zegers:
Semi-Autonomous Neural Networks Differential Equation Solver.
1863-1869
- Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks.
1870-1877
- Felix Feger, Irena Koprinska:
Co-training using RBF Nets and Different Feature Splits.
1878-1885
Model Selection
Bioinformatics & Bio-Medical Engineering I
- Feng Chu, Lipo Wang:
Applying RBF Neural Networks to Cancer Classification Based on Gene Expressions.
1930-1934
- Nicholas Stepenosky, Robi Polikar, John Kounios, Christopher M. Clark:
Ensemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease.
1935-1941
- Xiaoxu Han:
Finding Phylogenetically Informative Genes by Estimating Multispecies Gene Entropy.
1942-1949
- Wei Jiang, Seong G. Kong, Gregory D. Peterson:
Continuous Heartbeat Monitoring Using Evolvable Block-based Neural Networks.
1950-1957
- Vitoantonio Bevilacqua, Giuseppe Mastronardi, Filippo Menolascina, Paolo Pannarale, Antonio Pedone:
A Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation: The Breast Cancer Classification Problem.
1958-1965
- Davide Anguita, Sandro Ridella, Dario Sterpi:
Testing the Augmented Binary Multiclass SVM on Microarray Data.
1966-1968
Computational Intelligence in Power Systems II - Diagnosis & Control
- Li Liu, David A. Cartes, Wenxin Liu:
Application of Particle Swarm Optimization to PMSM Stator Fault Diagnosis.
1969-1974
- Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, David A. Cartes:
Neural Network based Decentralized Excitation Control of Large Scale Power Systems.
1975-1981
- Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Harley:
Design of Optimal PI Controllers for Doubly Fed Induction Generators Driven by Wind Turbines Using Particle Swarm Optimization.
1982-1987
- Ahmed Ali Abdalla Esmin:
Loss Power Minimization Using Particle Swarm Optimization.
1988-1992
- Alma Y. Alanis, Edgar N. Sanchez, Alexander G. Loukianov:
Discrete- Time Recurrent Neural Induction Motor Control using Kalman Learning.
1993-2000
Military & Security Applications
- Gymama E. Slaughter, Rosalyn S. Hobson:
Artificial Neural Network for Temporal Impedance Recognition of Neurotoxins.
2001-2008
- Paul E. Keller, Douglas L. McMakin, Thomas E. Hall, David M. Sheen:
Use of a Neural Network to Identify Man-made Structure in Millimeter-Wave Images for Security Screening Applications.
2009-2014
- Alireza A. Dibazar, Abhijith Bangalore, Hyung-ook Park, Sageev T. George, Walter M. Yamada, Theodore W. Berger:
Hardware Implementation of Dynamic Synapse Neural Networks for Acoustic Sound Recognition.
2015-2022
- Nathan Brannon, Gregory Conrad, Timothy Draelos, John Seiffertt, Donald C. Wunsch:
Information Fusion and Situation Awareness using ARTMAP and Partially Observable Markov Decision Processes.
2023-2030
- Hung-Hsu Tsai, Kuo-Chun Wang, Chi-Chih Liu:
Robust Watermarking in Wavelet Domain Using Rank Order and Genetic Algorithm for Image Authorization.
2031-2038
- Maryam Arvandi, Shuwei Wu, Alireza Sadeghian, William W. Melek, Isaac Woungang:
Symmetric Cipher Design Using Recurrent Neural Networks.
2039-2046
Evolutionary Approaches for Supervised Learning
Financial Engineering
