-
2
-
-
0022148098
-
Vector quantization in speech coding
-
J. Makhoul, S. Rpucos, and H. Gish, “Vector quantization in speech coding,” Proc. IEEE, vol.73, no. 11, 1551–1558, 1985.
-
(1985)
Proc. IEEE
, vol.73
, Issue.11
, pp. 1551-1558
-
-
Makhoul, J.1
Rpucos, S.2
Gish, H.3
-
3
-
-
0024056708
-
Image coding using vector quantization: A review
-
N. Nasrabadi and R. A. King, “Image coding using vector quantization: A review,” IEEE Trans. Commun. vol. 36, no. 8, pp. 957–971, 1988.
-
(1988)
IEEE Trans. Commun
, vol.36
, Issue.8
, pp. 957-971
-
-
Nasrabadi, N.1
King, R.A.2
-
4
-
-
0000672424
-
Fast learning in networks of locally tuned processing units
-
J. Moody and C. Darken,“Fast learning in networks of locally tuned processing units,” Neural Computation, vol. 1, 281–294, 1989.
-
(1989)
Neural Computation
, vol.1
, pp. 281-294
-
-
Moody, J.1
Darken, C.2
-
5
-
-
0025056697
-
Regularization algorithms for learning that are equivalent to multilayer networks
-
T. Poggio and F. Girosi, “Regularization algorithms for learning that are equivalent to multilayer networks,” Science, vol. 247, pp. 978–982, 1990.
-
(1990)
Science
, vol.247
, pp. 978-982
-
-
Poggio, T.1
Girosi, F.2
-
6
-
-
0010069683
-
Evaluation of adaptive mixtures of competing experts
-
R. P. Lippmann, J. E. Moody, and D. S. Touretzky, Eds. San CA:
-
S. J. Nowlan and G. E. Hinton, “Evaluation of adaptive mixtures of competing experts,” in Advances in Neural Information Processing System 3,R. P. Lippmann, J. E. Moody, and D. S. Touretzky, Eds. San CA: 774–780.
-
Advances in Neural Information Processing System 3
, vol.3
, pp. 774-780
-
-
Nowlan, S.J.1
Hinton, G.E.2
-
7
-
-
0002656190
-
Feature discovery by competitive learning
-
D. E. Rumelhart and D. Zipser, “Feature discovery by competitive learning,” Cognitive Science, vol. 9, pp. 75–112, 1985.
-
(1985)
Cognitive Science
, vol.9
, pp. 75-112
-
-
Rumelhart, D.E.1
Zipser, D.2
-
8
-
-
5244352553
-
Competitive learning: from iterative activation to adaptive resonance
-
S. Grossberg, “Competitive learning: from iterative activation to adaptive resonance,” Cognitive Science, vol. 11, pp. 23–63, 1987.
-
(1987)
Cognitive Science
, vol.11
, pp. 23-63
-
-
Grossberg, S.1
-
9
-
-
0023515080
-
Counterpropagation networks
-
R. Hecht-Nielsen, “Counterpropagation networks,” Appl. Opt., vol. 26, pp. 4979–4984, 1987.
-
(1987)
Appl. Opt.
, vol.26
, pp. 4979-4984
-
-
Hecht-Nielsen, R.1
-
10
-
-
0017120827
-
Adaptive patten classification and universal recording: I. parallel development and coding of neural feature detectors
-
S. Grossberg, “Adaptive patten classification and universal recording: I. parallel development and coding of neural feature detectors,” Biol. Cybern., vol. 23, pp. 121–134, 1976.
-
(1976)
Biol. Cybern.
, vol.23
, pp. 121-134
-
-
Grossberg, S.1
-
11
-
-
0021776661
-
A massively parallel architecture for a self-organizing neural pattern recognition machine
-
G. A. Carpenter and S. Grossberg, “A massively parallel architecture for a self-organizing neural pattern recognition machine,” Computer Vision, Graphics, and Image Processing, vol. 37, pp. 54–115, 1987.
-
(1987)
Computer Vision, Graphics, and Image Processing
, vol.37
, pp. 54-115
-
-
Carpenter, G.A.1
Grossberg, S.2
-
12
-
-
84973857317
-
ART 2: Self-organization of stable category recognition codes for analog output patterns
-
G. A. Carpenter and S. Grossberg, “ART 2: Self-organization of stable category recognition codes for analog output patterns,” Appl. Opt., vol. 26, pp. 4919–4930, 1987.
-
(1987)
Appl. Opt.
, vol.26
, pp. 4919-4930
-
-
Carpenter, G.A.1
Grossberg, S.2
-
13
-
-
0025235219
-
ART 3: Hierarchical searching using chemical transmitters in self-organizing pattern recognition architectures
-
G. A. Carpenter and S. Grossberg, “ART 3: Hierarchical searching using chemical transmitters in self-organizing pattern recognition architectures,” Neural Networks, vol. 3, pp. 129–152, 1990.
-
(1990)
Neural Networks
, vol.3
, pp. 129-152
-
-
Carpenter, G.A.1
Grossberg, S.2
-
15
-
-
0025489075
-
The self-organizing map
-
T. Kohonen, “The self-organizing map,” Proc. IEEE, vol. 78, pp. 1464–1480, 1990.
-
(1990)
Proc. IEEE
, vol.78
, pp. 1464-1480
-
-
Kohonen, T.1
-
16
-
-
0023331258
-
An introduction to computing with neural nets
-
Apr.
-
R. P. Lippmann, “An introduction to computing with neural nets,” IEEE ASSP Mag., pp. 4–22, Apr. 1987.
-
(1987)
IEEE ASSP Mag., pp
, pp. 4-22
-
-
Lippmann, R.P.1
-
17
-
-
0020074887
-
Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex
-
E. L. Bienenstock, L. N. Cooper, and P. W. Munro, “Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex,” J. Neuroscience, vol. 2, pp. 32–48, 1982.
-
(1982)
J. Neuroscience
, vol.2
, pp. 32-48
-
-
Bienenstock, E.L.1
Cooper, L.N.2
Munro, P.W.3
-
18
-
-
0024123145
-
Adding a conscience to competitive learning
-
D. Desieno, “Adding a conscience to competitive learning,” in Proc. IEEE Int. Conf. Neural Networks, 1988, vol. I, pp. 117–124.
-
(1988)
Proc. IEEE Int. Conf. Neural Networks
, vol.1
, pp. 117-124
-
-
Desieno, D.1
-
19
-
-
0025225150
-
Competitive learning algorithms for vector quantization
-
S. C. Ahalt, A. K. Krishnamurty, P. Chen, and D. E. Melton, “Competitive learning algorithms for vector quantization,” Neural Networks, vol. 1990.
-
(1990)
Neural Networks
-
-
Ahalt, S.C.1
Krishnamurty, A.K.2
Chen, P.3
Melton, D.E.4
-
20
-
-
84941439414
-
Modified Hebbian learning for curve and surface Neural
-
L. Xu, E. Oja, and C. Y. Suen, “Modified Hebbian learning for curve and surface Neural vol. 1992.
-
(1992)
-
-
Xu, L.1
Oja, E.2
Suen, C.Y.3
-
21
-
-
0000016172
-
A stochastic approximation method
-
H. Robbins and S. Monro, “A stochastic approximation method,” Ann. Math. Stat., vol. 22, pp. 400–407, 1951.
-
(1951)
Ann. Math. Stat.
, vol.22
, pp. 400-407
-
-
Robbins, H.1
Monro, S.2
-
22
-
-
33747992562
-
A new curve detection methods: Randomized Hough Transform (RHT)
-
L. Xu, E. Oja, and P. Kultanen, “A new curve detection methods: Randomized Hough Transform (RHT),” Pattern Recognition Letters, vol. 11, no. 5, 1990.
-
Pattern Recognition Letters
, vol.11
, Issue.5
-
-
Xu, L.1
Oja, E.2
Kultanen, P.3
-
23
-
-
84921177544
-
Extended self-organizing map for curve detection
-
Lappeenranta University of Technology Sept.
-
L. Xu and E. Oja, “Extended self-organizing map for curve detection,” Research Report 16, Dept. Information Technology, Lappeenranta University of Technology, Sept. 1989.
-
(1989)
Research Report 16, Dept. Information Technology
-
-
Xu, L.1
Oja, E.2
-
24
-
-
0022808786
-
A computational approach to edge detection
-
J. Canny, “A computational approach to edge detection,” IEEE Trans. Patt. Anal. Machine Intell., vol. 8, pp. 679–698, 1986.
-
(1986)
IEEE Trans. Patt. Anal. Machine Intell.
, vol.8
, pp. 679-698
-
-
Canny, J.1
-
25
-
-
0018828706
-
Theory of edge detection
-
D. Marr and E. Hildreth, “Theory of edge detection,” Proc. Roy. Soc. London, B, vol. 207, 1980, 187–217.
-
(1980)
Proc. Roy. Soc. London, B
, vol.207
, pp. 187-217
-
-
Marr, D.1
Hildreth, E.2
|