-
1
-
-
0001110699
-
On bandwidth variation in kernel estimates—A square root law
-
I. S. Abramson, “On bandwidth variation in kernel estimates—A square root law,” Annals Statist., vol. 10, pp. 1217–1223, 1982.
-
(1982)
Annals Statist.
, vol.10
, pp. 1217-1223
-
-
Abramson, I.S.1
-
2
-
-
0027664012
-
Using vector quantization for image processing
-
Sept.
-
P. C. Cosman, K. L. Oehler, E. A. Riskin, and R. M Gray, “Using vector quantization for image processing,” Proc. IEEE, vol. 81, no. 9, pp. 1326–1341, Sept. 1993.
-
(1993)
Proc. IEEE
, vol.81
, Issue.9
, pp. 1326-1341
-
-
Cosman, P.C.1
Oehler, K.L.2
Riskin, E.A.3
Gray, R.M.4
-
3
-
-
33748865806
-
Regression approximation using projection and isotropic kernels
-
D. L. Donoho and I. M. Johnstone, “Regression approximation using projection and isotropic kernels,” Contemporary Mathematics, vol. 59, 153–167, 1986.
-
(1986)
Contemporary Mathematics
, vol.59
, pp. 153-167
-
-
Donoho, D.L.1
Johnstone, I.M.2
-
5
-
-
0001201994
-
Projection pursuit density estimation
-
J. H. Friedman, W. Stuetzle, and A. Schroeder, “Projection pursuit density estimation,” J. Am. Statistical Assoc., vol. 79, pp. 599–608, 1984.
-
(1984)
J. Am. Statistical Assoc.
, vol.79
, pp. 599-608
-
-
Friedman, J.H.1
Stuetzle, W.2
Schroeder, A.3
-
6
-
-
0016102310
-
A projection pursuit algorithm for exploratory data analysis
-
J. H. Friedman and J. W. Tukey, “A projection pursuit algorithm for exploratory data analysis,” IEEE Trans. Comput., vol. C-23, pp. 881–890, 1974.
-
(1974)
IEEE Trans. Comput.
, vol.C-23
, pp. 881-890
-
-
Friedman, J.H.1
Tukey, J.W.2
-
7
-
-
84950754164
-
Exploratory projection pursuit
-
J. H. Friedman, “Exploratory projection pursuit,” J. Am. Statist. Assoc., vol. 82, 249–266, 1987.
-
(1987)
J. Am. Statist. Assoc.
, vol.82
, pp. 249-266
-
-
Friedman, J.H.1
-
9
-
-
0021412027
-
Vector quantization
-
Apr.
-
R. M. Gray, “Vector quantization,” IEEE Acoust., Speech, Signal Pro-cessing Mag., vol. 1, 4–29, Apr. 1984.
-
(1984)
IEEE Acoust., Speech, Signal Processing Mag.
, vol.1
, pp. 4-29
-
-
Gray, R.M.1
-
10
-
-
0000552128
-
On polynomial-based projection indices for exploratory projection pursuit
-
P. Hall, “On polynomial-based projection indices for exploratory projection pursuit,” Annals Statist., vol. 17, no. 2., pp. 589–605, 1989.
-
(1989)
Annals Statist.
, vol.17
, Issue.2
, pp. 589-605
-
-
Hall, P.1
-
12
-
-
0000263797
-
Projection pursuit
-
P. J. Huber, “Projection pursuit,” Annals Statist., vol. 13, no. 2, pp. 435–475, 1985.
-
(1985)
Annals Statist.
, vol.13
, pp. 435-475
-
-
Huber, P.J.1
-
13
-
-
0001664369
-
Analyzing high-dimensional data with motion graphics
-
C. Hurley and A. Buja, “Analyzing high-dimensional data with motion graphics,” SIAM J. Scientific, Statist. Computing, vol. 11, no. 6, pp. 1193–1211, 1990.
-
(1990)
SIAM J. Scientific, Statist. Computing
, vol.11
, Issue.6
, pp. 1193-1211
-
-
Hurley, C.1
Buja, A.2
-
14
-
-
84943274856
-
Unsupervised learning for multivariate probability density estimation: Radial basis and projection pursuit
-
(San Francisco, CA), Mar.
-
J. N. Hwang, S. R. Lay, and A. Lippman, “Unsupervised learning for multivariate probability density estimation: Radial basis and projection pursuit,” IEEE Int. Conf Neural Networks (San Francisco, CA), Mar. 1993, 1486–1491.
-
(1993)
IEEE Int. Conf Neural Networks
, pp. 1486-1491
-
-
Hwang, J.N.1
Lay, S.R.2
Lippman, A.3
-
15
-
-
84943251589
-
Robust construction of radial basis function neural networks for classification
-
(San Francisco, CA), Mar.
-
S. R. Lay and J. N. Hwang, “Robust construction of radial basis function neural networks for classification,” IEEE Int. Conf. Neural Networks (San Francisco, CA), Mar.1993, pp. 1859–1864.
-
(1993)
IEEE Int. Conf. Neural Networks
, pp. 1859-1864
-
-
Lay, S.R.1
Hwang, J.N.2
-
16
-
-
0018918171
-
An algorithm for vector quantizer design
-
Jan.
-
Y. Linde, A. Buzo, and R. M. Gray “An algorithm for vector quantizer design,” IEEE Trans. Commun., vol. 28, pp. 84–95, Jan. 1980.
-
(1980)
IEEE Trans. Commun.
, vol.28
, pp. 84-95
-
-
Linde, Y.1
Buzo, A.2
Gray, R.M.3
-
18
-
-
0000672424
-
Fast learning in networks of locally tuned processing units
-
J. Moody and C. J. Darken, “Fast learning in networks of locally tuned processing units,” Neural Computation, vol. 1, no. 3, pp. 281–294, 1989.
-
(1989)
Neural Computation
, vol.1
, Issue.3
, pp. 281-294
-
-
Moody, J.1
Darken, C.J.2
-
19
-
-
33749925530
-
Combining image classification and im-age compression using vector quantization
-
K. L. Oehler and R. M. Gray, “Combining image classification and im-age compression using vector quantization,” in IEEE Data Compression Conf Proc., 1993, pp. 2–11.
-
(1993)
IEEE Data Compression Conf Proc.
, pp. 2-11
-
-
Oehler, K.L.1
Gray, R.M.2
-
20
-
-
84892838207
-
Novel cluster-based probability model for texture synthesis, classification, and compression
-
(Boston, MA), Nov. 8-11
-
K. Popat and R. W. Picard, “Novel cluster-based probability model for texture synthesis, classification, and compression,” in Proc. SPIE Visual Commun. Image Processing'93 (Boston, MA), Nov. 8–11, 1993.
-
(1993)
Proc. SPIE Visual Commun. Image Processing’93
-
-
Popat, K.1
Picard, R.W.2
-
21
-
-
0005324821
-
Cluster-based probability model applied to image restoration and compression
-
(Adelaide, Australia), Apr.
-
K. Popat and R. W. Picard, “Cluster-based probability model applied to image restoration and compression,” to appear in Proc. ICASSP (Adelaide, Australia), Apr. 1994.
-
(1994)
to appear in Proc. ICASSP
-
-
Popat, K.1
Picard, R.W.2
-
22
-
-
0025490985
-
Networks for approximation and learning
-
Sept.
-
T. Poggio and F. Girosi, “Networks for approximation and learning,” Proc., vol. 78, no. 9, Sept. 1990, pp. 1481–1497.
-
(1990)
Proc.
, vol.78
, Issue.9
, pp. 1481-1497
-
-
Poggio, T.1
Girosi, F.2
-
23
-
-
0024610919
-
A tutorial on hidden Markov models and selected applications in speech recognition
-
Feb.
-
L. R. Rabiner, “A tutorial on hidden Markov models and selected applications in speech recognition,” Proc. IEEE, vol. 77, no. 2, Feb. 1989, pp. 257–286.
-
(1989)
Proc. IEEE
, vol.77
, Issue.2
, pp. 257-286
-
-
Rabiner, L.R.1
-
24
-
-
0003545910
-
Multivariate density estimation: Theory, practice, and visualization
-
New York: Wiley
-
D. W. Scott, “Multivariate density estimation: Theory, practice, and visualization,” Wiley Series in Probability and Mathematical Statistics. New York: Wiley, 1992.
-
(1992)
Wiley Series in Probability and Mathematical Statistics
-
-
Scott, D.W.1
-
26
-
-
0025206332
-
Probabilistic neural networks
-
D. F. Specht, “Probabilistic neural networks,” Neural Networks, vol. 3, pp. 109–118, 1990.
-
(1990)
Neural Networks
, vol.3
, pp. 109-118
-
-
Specht, D.F.1
-
28
-
-
0027876065
-
Vector quantization technique for nonparametric classifier design
-
Dec.
-
Q. Xie, C. A. Laszlo, and R. K. Ward, “Vector quantization technique for nonparametric classifier design,” IEEE Trans. Patt. Anal. Machine Intell., vol. 15, no. 12, pp. 1326–1330, Dec. 1993.
-
(1993)
IEEE Trans. Patt. Anal. Machine Intell.
, vol.15
, Issue.12
, pp. 1326-1330
-
-
Xie, Q.1
Laszlo, C.A.2
Ward, R.K.3
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