-
3
-
-
0020068152
-
Self-organized formation of topologically correct feature maps
-
T. Kohonen, "Self-organized formation of topologically correct feature maps," Biol. Cybern., vol. 43, pp. 59-69, 1982.
-
(1982)
Biol. Cybern.
, vol.43
, pp. 59-69
-
-
Kohonen, T.1
-
5
-
-
84910828260
-
Application of the Karhunen-Loève expansion to feature selection and ordering
-
K. Fukunaga and W. L. G. Koontz, "Application of the Karhunen-Loève expansion to feature selection and ordering," IEEE Trans. Comput., vol. C-19, pp. 311-318, 1970.
-
(1970)
IEEE Trans. Comput.
, vol.C-19
, pp. 311-318
-
-
Fukunaga, K.1
Koontz, W.L.G.2
-
6
-
-
0020464111
-
A simplified neuron model as a principal component analyzer
-
E. Oja, "A simplified neuron model as a principal component analyzer," J. Math. Biol., vol. 15, pp. 267-273, 1982.
-
(1982)
J. Math. Biol.
, vol.15
, pp. 267-273
-
-
Oja, E.1
-
7
-
-
0024883243
-
Optimal unsupervised learning in a single-layer feedforward neural network
-
T. D. Sanger, "Optimal unsupervised learning in a single-layer feedforward neural network," Neural Networks, vol. 2, pp. 459-465, 1989.
-
(1989)
Neural Networks
, vol.2
, pp. 459-465
-
-
Sanger, T.D.1
-
8
-
-
0026113980
-
Nonlinear principal component analysis using autoassociative feedforward neural networks
-
M. A. Kramer, "Nonlinear principal component analysis using autoassociative feedforward neural networks," AIChE J., vol. 37, no. 2, pp. 233-243, 1991.
-
(1991)
AIChE J.
, vol.37
, Issue.2
, pp. 233-243
-
-
Kramer, M.A.1
-
9
-
-
0003339799
-
Dimension reduction, feature extraction and interpretation of data with network computing
-
Y.-H. Pao, "Dimension reduction, feature extraction and interpretation of data with network computing," Int. J. Pattern Recognit. Artif. Intell., vol. 1, no. 5, pp. 521-535, 1996.
-
(1996)
Int. J. Pattern Recognit. Artif. Intell.
, vol.1
, Issue.5
, pp. 521-535
-
-
Pao, Y.-H.1
-
10
-
-
84887006810
-
A nonlinear mapping for data structure analysis
-
J. W. Sammon Jr, "A nonlinear mapping for data structure analysis," IEEE Trans. Comput., vol. C-18, pp. 401-409, 1969.
-
(1969)
IEEE Trans. Comput.
, vol.C-18
, pp. 401-409
-
-
Sammon Jr., J.W.1
-
11
-
-
0029270805
-
Artificial neural networks for feature extraction and multivariate data projection
-
J. Mao and A. K. Jain, "Artificial neural networks for feature extraction and multivariate data projection," IEEE Trans. Neural Networks, vol. 6, pp. 296-317, 1995.
-
(1995)
IEEE Trans. Neural Networks
, vol.6
, pp. 296-317
-
-
Mao, J.1
Jain, A.K.2
-
12
-
-
0031244985
-
Visualization of pattern data through learning of nonlinear variance-conserving dimension-reduction mapping
-
Y.-H. Pao and C.-Y. Shen, "Visualization of pattern data through learning of nonlinear variance-conserving dimension-reduction mapping," Pattern Recognit., vol. 30, no. 10, pp. 1705-1718, 1997.
-
(1997)
Pattern Recognit.
, vol.30
, Issue.10
, pp. 1705-1718
-
-
Pao, Y.-H.1
Shen, C.-Y.2
-
13
-
-
0347963789
-
GTM: The generative topographic mapping
-
C. M. Bishop, M. Svensén, and C. K. I. Williams, "GTM: The generative topographic mapping," Neural Comput., vol. 10, no. 1, pp. 215-234, 1998.
-
(1998)
Neural Comput.
, vol.10
, Issue.1
, pp. 215-234
-
-
Bishop, C.M.1
Svensén, M.2
Williams, C.K.I.3
-
14
-
-
0000646059
-
Learning internal representations by error propagation
-
D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press, ch. 8
-
D. E. Rumelhart, G. E. Hinton, and J. L. McClelland, "Learning internal representations by error propagation," in Parallel Distributed Processing: Explorations in the Microstructure of Cognition, D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press, 1986, vol. 1, ch. 8, pp. 318-362.
-
(1986)
Parallel Distributed Processing: Explorations in the Microstructure of Cognition
, vol.1
, pp. 318-362
-
-
Rumelhart, D.E.1
Hinton, G.E.2
McClelland, J.L.3
-
15
-
-
0032182763
-
Visualization and the understanding of multidimensional data
-
Y.-H. Pao and Z. Meng, "Visualization and the understanding of multidimensional data," Eng. Applicat. Artif. Intell., vol. 11, pp. 659-667, 1998.
-
(1998)
Eng. Applicat. Artif. Intell.
, vol.11
, pp. 659-667
-
-
Pao, Y.-H.1
Meng, Z.2
-
16
-
-
33749938847
-
Optimization with dimension reduction through learning of nonlinear variance-constrained mapping
-
Dayton, OH, Aug. 8-9
-
Z. Meng, Y.-H. Pao, and C.-Y. Shen, "Optimization with dimension reduction through learning of nonlinear variance-constrained mapping," in Proc. Adaptive Distributive Parallel Comput. Symp., Dayton, OH, Aug. 8-9, 1996, pp. 208-217.
-
(1996)
Proc. Adaptive Distributive Parallel Comput. Symp.
, pp. 208-217
-
-
Meng, Z.1
Pao, Y.-H.2
Shen, C.-Y.3
-
17
-
-
0023450871
-
Bayesian control in mixture models
-
L. M. Berliner, "Bayesian control in mixture models," Technometrics, vol. 29, no. 4, pp. 455-460, 1987.
-
(1987)
Technometrics
, vol.29
, Issue.4
, pp. 455-460
-
-
Berliner, L.M.1
-
18
-
-
33749962626
-
Analysis and visualization of category membership distribution in multivariate data
-
Honolulu, HI, July 11-15
-
Y.-H. Pao, B. Duan, Y. Zhao, and S. R. LeClair, "Analysis and visualization of category membership distribution in multivariate data," in IPMM'99, Honolulu, HI, July 11-15, 1999.
-
(1999)
IPMM'99
-
-
Pao, Y.-H.1
Duan, B.2
Zhao, Y.3
Leclair, S.R.4
-
19
-
-
0042837110
-
How can I know what You think?: Assessing representational similarity in neural systems
-
Madison, WI
-
A. Laakso and G. W. Cottrell, "How can I know what You think?: Assessing representational similarity in neural systems," in Proc. 20th Annu. Cognitive Sci. Conf., Madison, WI, 1998.
-
(1998)
Proc. 20th Annu. Cognitive Sci. Conf.
-
-
Laakso, A.1
Cottrell, G.W.2
-
20
-
-
0028420218
-
Learning and generalization characteristics of the random vector functional-link net
-
Y.-H. Pao, G.-H. Park, and D. J. Sobajic, "Learning and generalization characteristics of the random vector functional-link net," Neurocomputing, vol. 6, pp. 163-180, 1994.
-
(1994)
Neurocomputing
, vol.6
, pp. 163-180
-
-
Pao, Y.-H.1
Park, G.-H.2
Sobajic, D.J.3
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