Classification of plantar pressure and heel acceleration patterns using neural networks (Englisch)
- Neue Suche nach: Sazonov, E.S.
- Neue Suche nach: Bumpus, T.
- Neue Suche nach: Zeigler, S.
- Neue Suche nach: Marocco, S.
- Neue Suche nach: Sazonov, E.S.
- Neue Suche nach: Bumpus, T.
- Neue Suche nach: Zeigler, S.
- Neue Suche nach: Marocco, S.
In:
IJCNN, International Joint Conference on Neural Networks, 2005
;
3007-3010
;
2005
-
ISBN:
- Aufsatz (Konferenz) / Print
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Titel:Classification of plantar pressure and heel acceleration patterns using neural networks
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Beteiligte:Sazonov, E.S. ( Autor:in ) / Bumpus, T. ( Autor:in ) / Zeigler, S. ( Autor:in ) / Marocco, S. ( Autor:in )
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Erschienen in:
-
Verlag:
- Neue Suche nach: IEEE Operations Center
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Erscheinungsort:Piscataway
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Erscheinungsdatum:2005
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Format / Umfang:4 Seiten, 16 Quellen
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ISBN:
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Medientyp:Aufsatz (Konferenz)
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Format:Print
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis Konferenzband
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2005 IEEE International Joint Conference on Neural Networks (IJCNN)| 2005
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2005 IEEE International Joint Conference on Neural Networks (IJCNN) - Volume 2| 2005
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2005 IEEE International Joint Conference on Neural Networks| 2005
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Detailed Program| 2005
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- 989
-
Experimental evaluation of a hybrid method for configuring ensemble encoding receptorsAbdelbar, A.M. / Hassan, D.O. / Tagliarini, G.A. / Narayan, S. et al. | 2005
- 995
-
Dynamic construction of fault tolerant multi-layer neural networksHaruhiko, T. / Ayumi, N. / Hidehiko, K. / Terumine, H. et al. | 2005
- 1000
-
The p-Center machineBruckner, M. et al. | 2005
- 1006
-
A better scaled local tangent space alignment algorithmJian Yang, / Fuxin Li, / Jue Wang, et al. | 2005
- 1012
-
Gaussian processes of nonlinear diffusion filteringGirdziusas, R. / Laaksonen, J. et al. | 2005
- 1018
-
Fast training of multilayer perceptrons with a mixed norm algorithmAbid, S. / Fnaiech, F. / Jervis, B.W. / Cheriet, M. et al. | 2005
- 1023
-
Decorrelating parametrical neural networkKryzhanovsky, B.V. / Kryzhanovsky, V.M. / Fonarev, A.B. et al. | 2005
- 1027
-
Second-order backpropagation algorithms for a stagewise-partitioned separable Hessian matrixMizutani, E. / Dreyfus, S.E. / Demmel, J.W. et al. | 2005
- 1033
-
Prediction of time to event for censored data: ridge regression with linear constraints in kernel spaceBagotskaya, N. / Lossev, I. / Losseva, N. / Parakhin, M. et al. | 2005
- 1039
-
A threshold varying bisection method for cost sensitive learning in neural networksPendharkar, P.C. et al. | 2005
- 1045
-
A single-layer radial basis function network classifier and its applicationsGao Daqi, / Chen Mingming, / Li Yongli, et al. | 2005
- 1051
-
OLS versus SVM approach to learning of RBF network| 2005
- 1051
-
OLS versus SVM approach to learning of RBF networksOsowski, S. / Markiewicz, T. et al. | 2005
- 1057
-
Designing RBF classifiers for weighted boostingGomez-Verdejo, V. / Arenas-Garcia, J. / Ortega-Moral, M. / Figueiras-Vidal, A.R. et al. | 2005
- 1063
-
Iterative feature weighting for identification of relevant features with radial basis function networksBaofu Duan, / Yoh-Han Pao, et al. | 2005
- 1069
-
Sequential neuron pruning algorithm for RBF network with guaranteed stabilityJie Ni, / Qing Song, et al. | 2005
- 1075
-
Factors of overtraining with fuzzy ARTMAP neural networksHenniges, P. / Granger, E. / Sabourin, R. et al. | 2005
- 1081
-
ART2 based classification of sparse high dimensional parameter sets for a simulation parameter selection assistantKlotz, G.A. / Stacey, D.A. et al. | 2005
- 1086
-
Fuzzy PSO: a generalization of particle swarm optimizationAbdelbar, A.M. / Abdelshahid, S. / Wunsch, D.C. et al. | 2005
- 1092
-
Simulating A-Life Using Boltzmann Machines| 2005
- 1092
-
Simulating artificial life using Boltzmann machinesRybicki, L. et al. | 2005
- 1098
-
Artificial cognitive BP-CT ant routing algorithmXu Jing, / Chunyu Liu, / Xiaobo Sun, et al. | 2005
- 1104
-
Basic property of a quantum neural network composed of Kane's qubitsNakamiya, Y. / Kinjo, M. / Takahashi, O. / Sato, S. / Nakajima, K. et al. | 2005
- 1108
-
Quantum gauged neural networks: learning and recallingFujita, Y. / Hiramatsu, T. / Matsui, T. et al. | 2005
- 1114
-
Stochastic complexity of variational Bayesian hidden Markov modelsHosino, T. / Watanabe, K. / Watanabe, S. et al. | 2005
- 1120
-
New experiments on ensembles of multilayer feedforward for classification problemsHernandez-Espinosa, C. / Torres-Sospedra, J. / Fernandez-Redondo, M. et al. | 2005
- 1125
-
A research on combination methods for ensembles of multilayer feedforwardTorres-Sospedra, J. / Fernandez-Redondo, M. / Hernandez-Espinosa, C. et al. | 2005
- 1131
-
Dynamically weighted majority voting for incremental learning and comparison of three boosting based approachesGangardiwala, A. / Polikar, R. et al. | 2005
- 1137
-
A comparison of combination methods for ensembles of RBF networksTorres-Sospedra, J. / Hernandez-Espinosa, C. / Fernandez-Redondo, M. et al. | 2005
- 1142
-
New boosting methods of Gaussian processes for regressionYangqiu Song, / Changshui Zhang, et al. | 2005
- 1148
-
Learning probability density functions from marginal distributions with applications to Gaussian mixturesQutang Cai, / Changshui Zhang, / Chunyi Peng, et al. | 2005
- 1154
-
Evaluation of cluster combination functions for mixture of expertsRedhead, R. / Heywood, M. et al. | 2005
- 1160
-
Mixture of heterogeneous experts applied to time series: a comparative studyPuma-Villanueva, W.J. / Lima, C.A.M. / dos Santos, E.P. / Von Zuben, F.J. et al. | 2005
- 1166
-
Classification and verification through the combination of the multi-layer perceptron and auto-association neural networksIversen, A. / Taylor, N.K. / Brown, K.E. et al. | 2005
- 1172
-
A classifier ensemble model and its applications| 2005
- 1178
-
Systematic rewiring in associative neural networks with small-world architectureDekhtyarenko, O.K. et al. | 2005
- 1182
-
Motion perception with recurrent self-organizing maps based modelsBaier, V. et al. | 2005
- 1187
-
Retrieval property of associative memory with negative resistanceHayakawa, Y. / Hongge Li, / Nakajima, K. et al. | 2005
- 1193
-
A weighted voting model of associative memory: theoretical analysisWatta, P. / Hassoun, M.H. et al. | 2005
- 1199
-
New results on binary auto- and heteroassociative morphological memoriesSussner, P. et al. | 2005
- 1205
-
Self-organizing neural grove and its applicationsInoue, H. / Narihisa, H. et al. | 2005
- 1211
-
An incremental growing neural gas learns topologiesPrudent, Y. / Ennaji, A. et al. | 2005
- 1211
-
Incremental growing neural gas learns topologies| 2005
- 1217
-
Robust continuous learning in a WTA neural network for clustering symbol stringsFlanagan, J.A. et al. | 2005
- 1223
-
An associative memory for the on-line recognition and prediction of temporal sequencesBose, J. / Furber, S.B. / Shapiro, J.L. et al. | 2005
- 1229
-
Similar-image retrieval systems using ICA and PCA basesKatsumata, N. / Matsuyama, Y. et al. | 2005
- 1235
-
Blind inversion of Wiener system for single source using nonlinear blind source separationZhan Li-Sun, / De-Shuang Huang, / Chun-Hou Zheng, / Li Shang, et al. | 2005
- 1235
-
Blind Inversion of Wiener System for Single Source| 2005
- 1239
-
Blind separation of convolved sources using the information maximization approachHasanuzzaman, Md. / Khrosani, K. et al. | 2005
- 1245
-
BSS Toolbox for delayed and convolved mixturesCiaramella, A. / Tagliaferri, R. / Iorio, F. et al. | 2005
- 1251
-
Diagonally weighted and shifted criteria for minor and principal component extractionHasan, M.A. et al. | 2005
- 1257
-
Analysis of signal separation and signal distortion in feedforward and feedback blind source separation based on source spectraHorita, A. / Nakayama, K. / Hirano, A. / Dejima, Y. et al. | 2005
- 1263
-
Weighted Rayleigh quotients for minor and principal component extractionHasau, M.A. et al. | 2005
- 1269
-
Feature ranking using supervised neural gas and informational energyAndonie, R. / Cataron, A. et al. | 2005
- 1274
-
An improved kernel Fisher discriminant classifier and its applicationsGao Daqi, / Wang Zhen, / Li Yongli, et al. | 2005
- 1280
-
An optimal entropy estimator for discrete random variablesShiga, M. / Yokota, Y. et al. | 2005
- 1286
-
Comparing "pattern discovery" and back-propagation classifiersHamilton-Wright, A. / Stashuk, D.W. et al. | 2005
- 1292
-
Multivariate regression model selection with KIC for extrapolation casesSeghouane, A.-K. et al. | 2005
- 1296
-
Robust information clusteringQing Song, et al. | 2005
- 1302
-
Learning nonlinear constraints with contrastive backpropagationMnih, A. / Hinton, G. et al. | 2005
- 1308
-
Sequential relevance vector machine learning from time seriesNikolaev, N. / Tino, P. et al. | 2005
- 1314
-
Performance optimization of function localization neural network by using reinforcement learningSasakawa, T. / Jinglu Hu, / Hirasawa, K. et al. | 2005
- 1320
-
Sparse Bayesian learning and the relevance multi-layer perceptron| 2005
- 1320
-
Sparse Bayesian learning and the relevance multi-layer perceptron networkCawley, G.C. / Talbot, N.L.C. et al. | 2005
- 1325
-
Real-coded genetic algorithm with average-bound crossover and wavelet mutation for network parameters learningLing, S.H. / Leung, F.H.F. et al. | 2005
- 1331
-
A directional multi-resolution ridgelet networkShuyuan Yang, / Min Wang, / Licheng Jiao, et al. | 2005
- 1337
-
Author index| 2005
- 1337
-
The emergence of verbs in an artificial life simulationPetridis, V. / Toulkeridis, A.A. et al. | 2005
- 1343
-
A variable-parameter neural network trained by improved genetic algorithm and its applicationLing, S.H. / Lam, H.K. / Leung, F.H.F. et al. | 2005
- 1349
-
Feature subset selection via multi-objective genetic algorithmLac, H.C. / Stacey, D.A. et al. | 2005
- 1355
-
A model of Baldwin effect in populations of self-learning agentsRed'ko, V.G. / Mosalov, O.P. / Prokhorov, D.V. et al. | 2005
- 1361
-
Synthesis of binary cellular automata based on binary neural networksYamamichi, T. / Saito, T. / Taguchi, K. / Torikai, H. et al. | 2005
- 1365
-
Genetic algorithm-based variable translation wavelet neural network and its applicationLing, S.H. / Leung, F.H.F. et al. | 2005
- 1371
-
Evolution strategies on connection weights into modified gradient function for multi-layer neural networksNg, S.C. / Leung, S.H. / Luk, A. et al. | 2005
- 1377
-
Neural network initialization with prototypes - a case study in function approximationJin-Song Pei, / Wright, J.P. / Smyth, A.W. et al. | 2005
- 1383
-
A novel radial basis function network classifier with centers set by hierarchical clusteringYu-Yen Ou, / Yen-Jen Oyang, / Chien-Yu Chen, et al. | 2005
- 1389
-
A simple hierarchical approximation RBF neural networkDoerschuk, P.I. / Pawaskar, S.S. et al. | 2005
- 1395
-
The evolving tree, a hierarchical tool for unsupervised data analysisPakkanen, J. / Iivarinen, J. / Oja, E. et al. | 2005
- 1400
-
Optimization of modular neural networks using hierarchical genetic algorithms applied to speech recognitionMartinez, G. / Melin, P. / Castillo, O. et al. | 2005
- 1406
-
Protein sequence classification using extreme learning machineDianhui Wang, / Guang-Bin Huang, et al. | 2005
- 1412
-
Analyzing the state space property of echo state networks for chaotic system predictionJianhui Xi, / Zhiwei Shi, / Min Han, et al. | 2005
- 1418
-
Finding a succinct multi-layer perceptron having shared weightsTanahashi, Y. / Xiang-Fang Chin, / Saito, K. / Nakano, R. et al. | 2005
- 1424 vol. 3
-
Functional organization of the primate prefrontal cortex for memoryPetrides, M. et al. | 2005
- 1425
-
A simple trick for constructing Bayesian formulations of sparse kernel learning methodsCawley, G.C. / Talbot, N.L.C. et al. | 2005
- 1431
-
Efficient parameter selection for support vector machines in classification and regression via model-based global optimizationFrohlich, H. / Zell, A. et al. | 2005
- 1437
-
Sequential bootstrapped support vector machines - a SVM acceleratorXuchun Li, / Yan Zhu, / Sung, E. et al. | 2005
- 1443
-
F/sub /spl beta// support vector machinesCallut, J. / Dupont, P. et al. | 2005
- 1443
-
Fbeta Support Vector Machines| 2005
- 1449
-
Time series filtering, smoothing and learning using the kernel Kalman filterRalaivola, L. / d'Alche-Buc, F. et al. | 2005
- 1455
-
A combined SVM and LDA approach for classificationTao Xiong, / Cherkassky, V. et al. | 2005
- 1460
-
Reservoir riddles: suggestions for echo state network researchJaeger, H. et al. | 2005
- 1463
-
Echo state networks: appeal and challengesProkhorov, D. et al. | 2005
- 1467
-
Computing with transiently stable statesOzturk, M.C. / Principe, J.C. et al. | 2005