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ORCIDIJCNN 2007: Orlando, Florida, USA
- Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007. IEEE 2007, ISBN 978-1-4244-1379-9
- Issam Dagher, Kamal El Tom:
WaterBalloons: A Hybrid Watershed Balloon Snake Segmentation. 1-6 - Richard Neville, Liping Zhao
:
Building a Family of Neural Networks using Symmetry as a Foundation. 7-12 - Ishmael S. Msiza, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Water Demand Forecasting Using Multi-layer Perceptron and Radial Basis Functions. 13-18 - Shakir Mohamed, David M. Rubin, Tshilidzi Marwala:
Incremental Learning for Classification of Protein Sequences. 19-24 - Olutayo O. Oladunni, Theodore B. Trafalis:
Regularization Based Classification Models. 25-30 - Gualtiero Piccinini:
Connectionist Computation. 31-36 - Shenshen Gu, Jun Wang:
A K-Winners-Take-All Neural Network Based on Linear Programming Formulation. 37-40 - Ju Jiang, Mohamed S. Kamel:
Pitch Control of an Aircraft with Aggregated Reinforcement Learning Algorithms. 41-46 - Ramakrishnan Sundaram:
Neural computing for data recovery. 47-52 - Ankur Gupta, Lyle N. Long:
Character Recognition using Spiking Neural Networks. 53-58 - Gerardo Noriega:
Propagation Delays in the Development of SOMs and Abnormal Brain Growth in Autism. 59-65 - B. Chandra, P. Paul Varghese:
On Improving Efficiency of SLIQ Decision Tree Algorithm. 66-71 - Zhanquan Sun, Guangcheng Xi, Haixia Li, Jianqiang Yi, Jie Wang:
Apply Feature Selection to the Integration of TCM and Western Medicine. 72-77 - Fen Xia, Qing Tao, Jue Wang, Wensheng Zhang:
Recursive Feature Extraction for Ordinal Regression. 78-83 - Qingshan Liu, Jun Wang:
A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation. 84-89 - Hsiao-Dong Chiang, Chandan K. Reddy:
TRUST-TECH Based Neural Network Training. 90-95 - Naoki Masuda, Hiroshi Kori:
STDP enhances frequency synchrony in neural networks with a pacemaker. 96-101 - Daniel Chillet, Sébastien Pillement, Olivier Sentieys:
A Neural Network Model for Real-Time Scheduling on Heterogeneous SoC Architectures. 102-107 - Tomas Hrycej, Matthias Grabert:
Warranty Cost Forecast Based on Car Failure Data. 108-113 - Weibao Zou, Yan Li:
Image Classification Using Wavelet Coefficients in Low-pass Bands. 114-118 - Kunihiko Fukushima:
Robust Pattern Recognition by Interpolating Vectors. 119-124 - Zikrija Avdagic, Senad Cernica, Samim Konjicija:
Reducing Vibration of the Seat with Semi-active Damper by Using the Artificial Neural Networks. 125-130 - Nikola K. Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Simei Gomes Wysoski, Frances Joseph:
Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries. 131-135 - Truong Quang D. Khoa, Masahiro Nakagawa:
Training Multilayer Neural Network by Global Chaos Optimization Algorithms. 136-141 - Velu Suresh Kumar, P. Subbiah Kannan, Kandasamy Kalaiselvi, Kavitha D.:
Optimal Estimation of Harmonics in Power System using Intelligent Computing Techniques. 142-147 - Chun-Fei Hsu, Tsu-Tian Lee, Ping-Zong Lin:
Intelligent Tracking Controller Design Using Dynamic Fuzzy Neural Networks. 148-153 - Feng Zhang:
Learning Long-Term Time Series with Generative Topographic Mapping. 154-159 - Julio J. Valdés, Enrique Romero, Ruben Gonzalez:
Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting. 160-165 - Shuichi Kurogi, Ryohei Koyama, Shinya Tanaka, Toshihisa Sanuki:
Forecasting Using First-Order Difference of Time Series and Bagging of Competitive Associative Nets. 166-171 - Ralf Eickhoff, Joaquin Sitte:
Significance measure of Local Cluster Neural Networks. 172-177 - Yuuji Ichisugi:
A Cerebral Cortex Model that Self-Organizes Conditional Probability Tables and Executes Belief Propagation. 178-183 - Han-Bing Qu, Bao-Gang Hu:
Variational Bayes Inference for Generalized Associative Functional Networks. 184-189 - Giovanni Raimondo, Alfonso Montuori, Walter Moniaci, Eros Pasero, Esben Almkvist:
Data-driven models to forecast PM10 concentration. 190-194 - Pedro Delicado, Marcelo Smrekar:
Mixture of nonlinear models: a Bayesian fit for Principal Curves. 195-200 - Chi Kin Chow, Shiu Yin Yuen:
Lighting Direction Estimation of a Shaded Image by a Surface-input Regression Network. 201-206 - Chi Kin Chow, Shiu Yin Yuen:
Bayesian Signal Classifier. 207-212 - Chi Kin Chow, Shiu Yin Yuen:
Signal Self Organizing Map. 213-218 - Ruichu Cai, Zhifeng Hao, Wen Wen:
A Novel Gene Ranking Algorithm Based on Random Subspace Method. 219-223 - Francisco de A. T. de Carvalho, Julio T. Pimentel, Lucas X. T. Bezerra:
Clustering of symbolic interval data based on a single adaptive L1 distance. 224-229 - Mario I. Chacon, Waldo J. Perez-Regalado:
A Combined Fuzzy Clustering -Neuron Approach in the Segmentation of Non-uniform Color Surfaces. 230-235 - Al Cripps, Nghiep Nguyen:
Fuzzy Lattice Neurocomputing Using Weighted Cosine Similarity Measure. 236-241 - Tianping Chen, Yanchun Bai:
Stability of Cohen-Grossberg Neural Networks with Nonnegative Periodic solutions. 242-247 - Sharon M. Chou, Andrew P. Paplinski, Lennart Gustafsson:
Speaker-dependent Bimodal Integration of Chinese Phonemes and Letters Using Multimodal Self-organizing Networks. 248-253 - Zhongyu Pang, Derong Liu, Ning Jin, Zhuo Wang:
Neural Network Strategy for Sampling of Particle Filters on the Tracking Problem. 254-259 - Jagdish Chandra Patra, Goh P. Lim, Pramod Kumar Meher, Ee-Luang Ang:
DNA Microarray Data Analysis: Effective Feature Selection for Accurate Cancer Classification. 260-265 - Florian Hoppe, Gerald Sommer:
Online Learning for Hierarchical Networks of Locally Arranged Models using a Support Vector Domain Model. 266-271 - Hasan U. Ozer, Ramakrishnan Sundaram:
Object Recognition with Generic Self Organizing Feature Extractors and Fast Gabor Wavelet Transform. 272-277 - Amjad Zaim, Taeil Yi, Rick Keck:
Feature-Based Classification of Prostate Ultrasound Images using Multiwavelet and Kernel Support Vector Machines. 278-281 - Derrick Takeshi Mirikitani, Nikolay I. Nikolaev:
Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks. 282-287 - Michal Kruk, Stanislaw Osowski, Robert Koktysz:
Recognition of Colon Cells Using Ensemble of Classifiers. 288-293 - Kurt Stadlthanner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Petia Georgieva, Carlos García Puntonet:
Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis. 294-299 - Chao Shao, Houkuan Huang, Chunhong Wan:
Selection of the Suitable Neighborhood Size for the ISOMAP Algorithm. 300-305 - Jorge V. Geaga:
Tagging and Tracking in Video Using Neural Net Color Detection and Spatial Filters. 306-310 - Jérica Urías, Denisse Hidalgo, Patricia Melin, Oscar Castillo:
A New Method for Response Integration in Modular Neural Networks using Type-2 Fuzzy Logic for Biometric Systems. 311-315 - Pei-Gee Peter Ho, Chi Hau Chen:
2-D Time Series Model Based Support Vector Machine for Remote Sensing Image Segmentation. 316-320 - Daniel T. H. Lai, Ahsan H. Khandoker, Rezaul K. Begg, Marimuthu Palaniswami:
A hybrid Support Vector Machine and autoregressive model for detecting gait disorders in the elderly. 321-326 - Ikuko Nishikawa, Kohei Hayashi, Kazutoshi Sakakibara:
Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion. 327-332 - Wei Fu, Xiaodong Gu, Yuanyuan Wang:
Anti-aircraft Missile Deployment Optimization Using Hopfield Neural Network. 333-337 - Steffen Grünewälder, Sepp Hochreiter, Klaus Obermayer:
Optimality of LSTD and its Relation to MC. 338-343 - Xiaofeng Lin, Zhigang Zhang, Derong Liu:
Temperature Control in Precalcinator with Dual Heuristic Dynamic Programming. 344-349 - Guoguang He, Manish Dev Shrimali, Kazuyuki Aihara:
Chaos control in a neural network with threshold activated coupling. 350-354 - Shihai Wang, Ke Chen:
Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification. 355-360 - Xiefeng Cheng, Yan Zheng, Yewei Tao, Zhengyu Chen, Yuehui Chen:
Independent Sub-Band Functions: Model and Applications. 361-365 - José García Rodríguez, Francisco Flórez Revuelta, Juan Manuel García Chamizo:
Image Compression Using Growing Neural Gas. 366-370 - Asma Al-Tamimi, Draguna L. Vrabie, Murad Abu-Khalaf, Frank L. Lewis:
Model-free Approximate Dynamic Programming Schemes for Linear Systems. 371-378 - Assem Kaylani, Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Annie S. Wu:
Genetic Optimization of ART Neural Network Architectures. 379-384 - Mark H. Myers, Igor Beliaev, King-Ip Lin:
Machine Learning Techniques in Detecting of Pulmonary Embolisms. 385-390 - Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski:
Compound Parameterization for a Quality Control of Outliers and Larger Errors in Neural Network Emulations of Model Physics. 391-395 - Peter Shih, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Near Optimal Output-Feedback Control of Nonlinear Discrete-time Systems in Nonstrict Feedback Form with Application to Engines. 396-401 - Zhong-Hua Quan, De-Shuang Huang, KunHong Liu, Kwok-Wing Chau:
A Hybrid HMM/ANN Based Approach for Online Signature Verification. 402-405 - Yi Lu Murphey, Haoxing Wang, Guobin Ou, Lee A. Feldkamp:
OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data. 406-411 - Vishwas R. Puttige, Sreenatha G. Anavatti:
Comparison of Real-time Online and Offline Neural Network Models for a UAV. 412-417 - Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King:
Maximum Margin based Semi-supervised Spectral Kernel Learning. 418-423 - Nadir Nizar Ali Charniya, Sanjay V. Dudul:
Neural Network based Sensor for Classification of Material Type and its Surface Properties. 424-429 - Geoffrey R. Guile, Wenjia Wang:
Enhancing Boosting by Feature Non-Replacement for Microarray Data Analysis. 430-435 - Ignacio Barrio, Enrique Romero, Lluís Belanche:
Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression. 436-441 - Ross W. Deming, John Schindler, Leonid I. Perlovsky:
Neural Modeling Fields for Multitarget/Multisensor Tracking. 442-447 - Márjory C. C. Abreu, Anne M. P. Canuto:
Evaluating the Influence of the Choice of the Ensemble Members in Some Fuzzy Combination Methods. 448-453 - Silvia Riedel, Bogdan Gabrys:
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning. 454-459 - Leonid I. Perlovsky:
Neural Modeling Fields, Evolution of Consciousness and Cultures. 460-465 - Leonid I. Perlovsky:
Neural Modeling Fields for Natural Language. 466-470 - Yu-Chiang Frank Wang, David P. Casasent:
New Weighted Support Vector K-means Clustering for Hierarchical Multi-class Classification. 471-476 - Kai-Ju Chen, Kou-Yuan Huang:
Simulated Annealing for Pattern Detection and Seismic Application. 477-482 - Narayan Srinivasa, Stephen Grossberg:
A Self-Organizing Neural Model for Fault-Tolerant Control of Redundant Robots. 483-488 - Georgina Stegmayer:
Neural Networks and Volterra series for modeling new wireless communication devices. 489-494 - Lichen Liang, Vladimir Cherkassky:
Learning Using Structured Data: Application to fMRI Data Analysis. 495-499 - Ning Jin, Derong Liu, Zhongyu Pang, Ting Huang:
Wavelet Basis Function Neural Networks. 500-505 - Salvatore Marra, Maria Antonia Iachino, Francesco Carlo Morabito:
High Speed, Programmable Implementation of a Tanh-like Activation Function and Its Derivative for Digital Neural Networks. 506-511 - Nicolas Brodu:
Quantifying the Effect of Learning on Recurrent Spikin Neurons. 512-517 - Ting Yu, Tony Jan, Simeon J. Simoff, John K. Debenham:
A Hierarchical VQSVM for Imbalanced Data Sets. 518-523 - Feng Zhou, Bao-Liang Lu:
Learning Concepts from Large-Scale Data Sets by Pairwise Coupling with Probabilistic Outputs. 524-529 - Jiann-Ming Wu, Yi-Cyun Yang:
Nonlinear independent component analysis by learning generalized adalines. 530-535 - Julian Szymanski, Wlodzislaw Duch:
Semantic Memory Knowledge Acquisition Through Active Dialogues. 536-541 - Kazuo Nishimura:
A New Semantic Network Program Based on Combination of Case Knowledge and General Knowledge. 542-545 - Yasuo Matsuyama, Fuminori Ohashi, Fumiaki Horiike, Tomohiro Nakamura, Shun'ichi Honma, Naoto Katsumata, Yuuki Hoshino:
Image-to-Image Retrieval Using Computationally Learned Bases and Color Information. 546-551 - Raymond Chun Kiat Ho, Alex Leng Phuan Tay, Xuejie Zhang:
Progressive Learning Paradigms using the Parallel K-Iterations Fast Learning Artificial Neural Network. 552-557 - Behrooz Makki, Seyed Ali Seyed Salehi, Mona Noori Hosseini, Nasser Sadati:
Principal Component Analysis using Constructive Neural Networks. 558-562 - Xuejie Zhang, Alex Leng Phuan Tay:
Fast Learning Artificial Neural Network (FLANN) Based Color Image Segmentation in R-G-B-S-V Cluster Space. 563-568 - Rong-Jong Wai, Jeng-Dao Lee:
Dynamic Control of Maglev Transportation System Via Adaptive Fuzzy-Neural-Network. 569-574 - Masashi Sekino, Katsumi Nitta:
Unbiased Learning for Hierarchical Models. 575-580 - Qingyong Li, Zhiping Shi, Siwei Luo:
A Neural Network Approach for Bridging the Semantic Gap in Texture Image Retrieval. 581-585 - Franck Dufrenois, Johan Colliez, Denis Hamad:
Weighted Support Vector Regression for robust single model estimation : application to motion segmentation in image sequences. 586-591 - Hyun-Chul Kim, Kyu-Hwan Jung, Jaewook Lee:
Approximate Sampling Method for Locally Linear Embedding. 592-595 - Long Cheng, Zeng-Guang Hou, Min Tan, Xiuqing Wang, Zeng-Shun Zhao, Sanqing Hu:
A Recurrent Neural Network for Non-smooth Nonlinear Programming Problems. 596-601 - Manabu Gouko, Koji Ito:
An Action Generation Model Using Time Series Prediction. 602-607 - Javid J. Huseynov, Shankar B. Baliga, Alan Widmer, Zvi Boger:
Infrared Flame Detection System Using Multiple Neural Networks. 608-612 - Jose Ignacio Serrano, Ángel Iglesias, M. Dolores del Castillo:
Modeling Human Reading in Conceptual Networks for Text Representation and Comparison. 613-618 - Akihito Sudo, Akihiro Sato, Osamu Hasegawa:
Associative Memory for Online Incremental Learning in Noisy Environments. 619-624 - Hina Ghalib, Christian R. Huyck:
A Cell Assembly Model of Sequential Memory. 625-630 - Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani:
BeSOM : Bernoulli on Self-Organizing Map. 631-636 - Koen Smets, Brigitte Verdonk, Elsa M. Jordaan:
Evaluation of Performance Measures for SVR Hyperparameter Selection. 637-642 - Laura Emmanuella A. Santana, Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
A Comparative Analysis of Feature Selection Methods for Ensembles with Different Combination Methods. 643-648 - Luis E. Zárate, Sérgio M. Dias, Mark A. J. Song:
FCANN Method Applications for Knowledge Extraction From Previously Trained ANN. 649-654 - Luis E. Zárate, Fabricio R. Bittencout:
Neural Networks Applied to Adjustment and Combination of the Control Actions for the Cold Rolling Process. 655-660 - Ulf Johansson, Tuve Löfström, Lars Niklasson:
The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation. 661-666 - Li Shi, Hui Li, Zhifu Sun, Wei Liu:
Research on Diagnosing Heart Disease Using Adaptive Network-based Fuzzy Interferences System. 667-671 - Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Mixing Aveboost and Conserboost to Improve Boosting Methods. 672-677 - Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
PSMS for Neural Networks on the IJCNN 2007 Agnostic vs Prior Knowledge Challenge. 678-683 - Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm. 684-689 - Haikun Wei, Shun-ichi Amari:
Eigenvalue Analysis on Singularity in RBF networks. 690-695