-
1
-
-
0033561886
-
Independent factor analysis
-
Attias, H. (1999). Independent factor analysis. Neural Computation, 11(4), 803-851.
-
(1999)
Neural Computation
, vol.11
, Issue.4
, pp. 803-851
-
-
Attias, H.1
-
3
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
Belkin, M., Niyogi, P. (2003). Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15(6), 1373-1396.
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
5
-
-
33646355170
-
In search of non-gaussian components of a high-dimensional distribution
-
Blanchard, O., Kawanabe, M., Sugiyama, M., Spokoiny, V., Müller, K.-R. (2006). In search of non-gaussian components of a high-dimensional distribution. Journal of Machine Learning Research, 7, 247-282.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 247-282
-
-
Blanchard, O.1
Kawanabe, M.2
Sugiyama, M.3
Spokoiny, V.4
Müller, K.-R.5
-
6
-
-
1242286406
-
Independent component analysis based on nonparametric density estimation
-
Boscolo, R., Pan, H., Roychowdhury, V. P. (2004). Independent component analysis based on nonparametric density estimation. IEEE Transactions on Neural Networks, 15(1), 55-65.
-
(2004)
IEEE Transactions on Neural Networks
, vol.15
, Issue.1
, pp. 55-65
-
-
Boscolo, R.1
Pan, H.2
Roychowdhury, V.P.3
-
7
-
-
33847230522
-
Efficient independent component analysis
-
Chen, A., Bickel, P. J. (2006). Efficient independent component analysis. Annals of Statistics, 34(6).
-
(2006)
Annals of Statistics
, vol.34
, Issue.6
-
-
Chen, A.1
Bickel, P.J.2
-
8
-
-
0028416938
-
Independent component analysis - a new concept?
-
Comon, P. (1994). Independent component analysis - a new concept? Signal Processing, 36, 287-314.
-
(1994)
Signal Processing
, vol.36
, pp. 287-314
-
-
Comon, P.1
-
10
-
-
0006234010
-
Source distribution adaptive maximum likelihood estimation of ica model
-
P. Pajunen, J. Karhunen, Eds
-
Eriksson, J., Karvanen, J., Koivunen, V. (2000). Source distribution adaptive maximum likelihood estimation of ica model. In: P. Pajunen, J. Karhunen, (Eds.), Proceedings of second international workshop on independent component analysis and blind source separation (pp. 227-232).
-
(2000)
Proceedings of second international workshop on independent component analysis and blind source separation
, pp. 227-232
-
-
Eriksson, J.1
Karvanen, J.2
Koivunen, V.3
-
11
-
-
0016102310
-
A projection pursuit algorithm for exploratory data analysis
-
Friedman, J. H., Tukey, J. W. (1974). A projection pursuit algorithm for exploratory data analysis. IEEE Transactions on Computers, 23(9), 881-890.
-
(1974)
IEEE Transactions on Computers
, vol.23
, Issue.9
, pp. 881-890
-
-
Friedman, J.H.1
Tukey, J.W.2
-
12
-
-
0031455770
-
An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem
-
Girolami, M., Fyfe, C. (1997). An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem. Neural Networks, 10(9), 1607-1618.
-
(1997)
Neural Networks
, vol.10
, Issue.9
, pp. 1607-1618
-
-
Girolami, M.1
Fyfe, C.2
-
13
-
-
29144480967
-
Kernel methods for measuring independence
-
Gretton, A., Herbrich, R., Smola, A., Bousquet, O., Schölkopf, B. (2005). Kernel methods for measuring independence. Journal of Machine Learning Research, 6, 2075-2129.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 2075-2129
-
-
Gretton, A.1
Herbrich, R.2
Smola, A.3
Bousquet, O.4
Schölkopf, B.5
-
14
-
-
0041376445
-
Kernel-based nonlinear blind source separation
-
Harmeling, S., Ziehe, A., Kawanabe, M., Müller, K.-R. (2003). Kernel-based nonlinear blind source separation. Neural Computation, 15(5), 1089-1124.
-
(2003)
Neural Computation
, vol.15
, Issue.5
, pp. 1089-1124
-
-
Harmeling, S.1
Ziehe, A.2
Kawanabe, M.3
Müller, K.-R.4
-
15
-
-
84898934694
-
-
Hastie, T., Tibshirani, R. (2003). Independent components analysis through product density estimation. In: S. Becker, S. T., Obermayer, K. (Eds.), Advances in Neural Information Processing Systems 15 (pp 649-656). Cambridge: MIT
-
Hastie, T., Tibshirani, R. (2003). Independent components analysis through product density estimation. In: S. Becker, S. T., Obermayer, K. (Eds.), Advances in Neural Information Processing Systems 15 (pp 649-656). Cambridge: MIT
-
-
-
-
17
-
-
0032629347
-
Fast and robust fixed-point algorithms for independent component analysis
-
Hyvärinen, A. (1999). Fast and robust fixed-point algorithms for independent component analysis. IEEE Transactions on Neural Networks, 10(3), 626-634.
-
(1999)
IEEE Transactions on Neural Networks
, vol.10
, Issue.3
, pp. 626-634
-
-
Hyvärinen, A.1
-
20
-
-
0033556834
-
Independent component analysis using an extended informax algorithm for mixed subgaussian and supergaussian sources
-
Lee, T. W., Girolami, M., Sejnowski, T. J. (1999). Independent component analysis using an extended informax algorithm for mixed subgaussian and supergaussian sources. Neural Computation, 11(2), 417-441.
-
(1999)
Neural Computation
, vol.11
, Issue.2
, pp. 417-441
-
-
Lee, T.W.1
Girolami, M.2
Sejnowski, T.J.3
-
21
-
-
0000672424
-
Fast learning in networks of locally-tuned processing units
-
Moody, J., Darken, C. (1989). Fast learning in networks of locally-tuned processing units. Neural Computation, 1, 281-294.
-
(1989)
Neural Computation
, vol.1
, pp. 281-294
-
-
Moody, J.1
Darken, C.2
-
22
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
Müller, K.-R., Mika, S., Rätsch, G., Tsuda, K., Schölkopf, B. (2001). An introduction to kernel-based learning algorithms. IEEE Neural Networks, 12(2), 181-201.
-
(2001)
IEEE Neural Networks
, vol.12
, Issue.2
, pp. 181-201
-
-
Müller, K.-R.1
Mika, S.2
Rätsch, G.3
Tsuda, K.4
Schölkopf, B.5
-
24
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Roweis, S., Saul, L. (2000). Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500), 2323-2326.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.1
Saul, L.2
-
26
-
-
0000169918
-
Estimation of the mean of a multivariate normal distribution
-
Stein, C. M. (1981). Estimation of the mean of a multivariate normal distribution. Annals of Statistics, 9, 1135-1151.
-
(1981)
Annals of Statistics
, vol.9
, pp. 1135-1151
-
-
Stein, C.M.1
-
27
-
-
33847242174
-
Obtaining the best linear unbiased estimator of noisy signals by non-Gaussian component analysis
-
Sugiyama, M., Kawanabe, M., Blanchard, G., Spokoiny, V., Müller, K.-R. (2006). Obtaining the best linear unbiased estimator of noisy signals by non-Gaussian component analysis. In Proceedings of 2006 IEEE international conference on acoustics, speech, and signal processing (pp. 608-611).
-
(2006)
Proceedings of 2006 IEEE international conference on acoustics, speech, and signal processing
, pp. 608-611
-
-
Sugiyama, M.1
Kawanabe, M.2
Blanchard, G.3
Spokoiny, V.4
Müller, K.-R.5
-
28
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
Tenenbaum, J. B., de Silva, V., Langford, J. C. (2000). A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500), 2319-2323.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
de Silva, V.2
Langford, J.C.3
-
29
-
-
33745683201
-
Uniqueness of non-gaussian subspace analysis
-
Proceedings of Sixth International Workshop on Independent Component Analysis and Blind Source Separation, Berlin Heidelberg New York: Springer
-
Theis, F. J., Kawanabe, M. (2006). Uniqueness of non-gaussian subspace analysis. In Proceedings of Sixth International Workshop on Independent Component Analysis and Blind Source Separation, LNCS vol. 3889 (pp 917-924). Berlin Heidelberg New York: Springer.
-
(2006)
LNCS
, vol.3889
, pp. 917-924
-
-
Theis, F.J.1
Kawanabe, M.2
-
30
-
-
0035330650
-
Efficient source adaptivity in independent compoenent analysis
-
Vassis, N., Motomura, Y. (2001). Efficient source adaptivity in independent compoenent analysis. IEEE Transactions on Neural Networks, 12, 559-566.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, pp. 559-566
-
-
Vassis, N.1
Motomura, Y.2
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