-
4
-
-
33749754615
-
A new learning algorithm for blind signal separation
-
MIT Press
-
S.-I. Amari, A. Cichoki, and Y. H. A new learning algorithm for blind signal separation. In Advances in Neural Information Processing Systems, volume 8, pages 757-763. MIT Press, 1996.
-
(1996)
Advances in Neural Information Processing Systems
, vol.8
, pp. 757-763
-
-
Amari, S.-I.1
Cichoki, A.2
H., Y.3
-
6
-
-
29144471292
-
-
http://www.cs.berkeley.edu/~fbach/kernel-ica/index.htm
-
-
-
-
9
-
-
29144446225
-
Mutual information for gaussian processes
-
C. R. Baker. Mutual information for gaussian processes. SIAM Journal on Applied Mathematics, 19(2):451-458, 1970.
-
(1970)
SIAM Journal on Applied Mathematics
, vol.19
, Issue.2
, pp. 451-458
-
-
Baker, C.R.1
-
11
-
-
29144490172
-
Multivariate regression with stiefel constraints
-
Max Planck Institute for Biological Cybernetics
-
G. Bakir, A. Gretton, M. Franz, and B. Schölkopf. Multivariate regression with stiefel constraints. Technical Report 101, Max Planck Institute for Biological Cybernetics, 2004.
-
(2004)
Technical Report
, vol.101
-
-
Bakir, G.1
Gretton, A.2
Franz, M.3
Schölkopf, B.4
-
12
-
-
0029411030
-
An information-maximization approach to blind separation and blind deconvolution
-
A. Bell and T. Sejnowski. An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7(6): 1129-1159, 1995.
-
(1995)
Neural Computation
, vol.7
, Issue.6
, pp. 1129-1159
-
-
Bell, A.1
Sejnowski, T.2
-
13
-
-
0031078854
-
A blind source separation technique using second order statistics
-
A. Belouchrani, K. Abed-Meraim, J.-F. Cardoso, and E. Moulines. A blind source separation technique using second order statistics. IEEE Transactions on Signal Processing, 45(2):434-444, 1997.
-
(1997)
IEEE Transactions on Signal Processing
, vol.45
, Issue.2
, pp. 434-444
-
-
Belouchrani, A.1
Abed-Meraim, K.2
Cardoso, J.-F.3
Moulines, E.4
-
14
-
-
0032204239
-
Blind source separation based on time-frequency signal representations
-
A. Belouchrani and M. G. Amin. Blind source separation based on time-frequency signal representations. IEEE Transactions on Signal Processing, 46(11):2888-2897, 1998.
-
(1998)
IEEE Transactions on Signal Processing
, vol.46
, Issue.11
, pp. 2888-2897
-
-
Belouchrani, A.1
Amin, M.G.2
-
16
-
-
84950771789
-
Estimating optimal transformations for multiple regression and correlation
-
L. Breiman and J. Friedman. Estimating optimal transformations for multiple regression and correlation. Journal of the American Statistical Association, 80:580-598, 1985.
-
(1985)
Journal of the American Statistical Association
, vol.80
, pp. 580-598
-
-
Breiman, L.1
Friedman, J.2
-
17
-
-
0032187518
-
Blind signal separation: Statistical principles
-
J.-F. Cardoso. Blind signal separation: statistical principles. Proceedings of the IEEE, 90(8):2009-2026, 1998a.
-
(1998)
Proceedings of the IEEE
, vol.90
, Issue.8
, pp. 2009-2026
-
-
Cardoso, J.-F.1
-
18
-
-
0031645454
-
Multidimensional independent component analysis
-
J.-F. Cardoso. Multidimensional independent component analysis. In ICASSP, 1998b.
-
(1998)
ICASSP
-
-
Cardoso, J.-F.1
-
19
-
-
29144438939
-
Consistent independent component analysis and prewhitening
-
Berkeley
-
A. Chen and P. Bickel. Consistent independent component analysis and prewhitening. Technical report, Berkeley, 2004.
-
(2004)
Technical Report
-
-
Chen, A.1
Bickel, P.2
-
21
-
-
0028416938
-
Independent component analysis, a new concept?
-
P. Comon. Independent component analysis, a new concept? Signal Processing, 36:287-314, 1994.
-
(1994)
Signal Processing
, vol.36
, pp. 287-314
-
-
Comon, P.1
-
23
-
-
84898954907
-
Spectral kernel methods for clustering
-
Cambridge, MA. MIT Press
-
N. Cristianini, J. Shawe-Taylor, and J. Kandola. Spectral kernel methods for clustering. In NIPS, volume 14, Cambridge, MA, 2002. MIT Press.
-
(2002)
NIPS
, vol.14
-
-
Cristianini, N.1
Shawe-Taylor, J.2
Kandola, J.3
-
24
-
-
0040350036
-
Nonlinear canonical analysis and independence tests
-
J. Dauxois and G. M. Nkiet. Nonlinear canonical analysis and independence tests. Annals of Statistics, 26(4):1254-1278, 1998.
-
(1998)
Annals of Statistics
, vol.26
, Issue.4
, pp. 1254-1278
-
-
Dauxois, J.1
Nkiet, G.M.2
-
25
-
-
0003922190
-
-
Wiley, New York, second edition
-
R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Wiley, New York, second edition, 2001.
-
(2001)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
26
-
-
0032216898
-
The geometry of algorithms with orthogonality constraints
-
A. Edelman, T. Arias, and S. Smith. The geometry of algorithms with orthogonality constraints. SIAM Journal on Matrix Analysis and Applications, 20(2):303-353, 1998.
-
(1998)
SIAM Journal on Matrix Analysis and Applications
, vol.20
, Issue.2
, pp. 303-353
-
-
Edelman, A.1
Arias, T.2
Smith, S.3
-
27
-
-
0041494125
-
Efficient SVM training using low-rank kernel representations
-
S. Fine and K. Scheinberg. Efficient SVM training using low-rank kernel representations. Journal of Machine Learning Research, 2(Dec):243-264, 2001.
-
(2001)
Journal of Machine Learning Research
, vol.2
, Issue.DEC
, pp. 243-264
-
-
Fine, S.1
Scheinberg, K.2
-
28
-
-
29144521495
-
Consistency of kernel canonical correlation analysis
-
Institute of Statistical Mathematics
-
K. Fukumizu, F. Bach, and A. Gretton. Consistency of kernel canonical correlation analysis. Technical Report 942, Institute of Statistical Mathematics, 2005.
-
(2005)
Technical Report
, vol.942
-
-
Fukumizu, K.1
Bach, F.2
Gretton, A.3
-
29
-
-
4544371135
-
Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces
-
K. Fukumizu, F. R. Bach, and M. I. Jordan. Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces. Journal of Machine Learning Research, 5:73-99, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 73-99
-
-
Fukumizu, K.1
Bach, F.R.2
Jordan, M.I.3
-
32
-
-
33750587254
-
Measuring statistical dependence with hilbert-schmidt norms
-
MPI for Biological Cybernetics
-
A. Gretton, O. Bousquet, A. Smola, and B. Schoelkopf. Measuring statistical dependence with hilbert-schmidt norms. Technical Report 140, MPI for Biological Cybernetics, 2005a.
-
(2005)
Technical Report
, vol.140
-
-
Gretton, A.1
Bousquet, O.2
Smola, A.3
Schoelkopf, B.4
-
33
-
-
0141804070
-
The kernel mutual information
-
Cambridge University Engineering Department and Max Planck Institute for Biological Cybernetics
-
A. Gretton, R. Herbrich, and A. Smola. The kernel mutual information. Technical report, Cambridge University Engineering Department and Max Planck Institute for Biological Cybernetics, 2003a.
-
(2003)
Technical Report
-
-
Gretton, A.1
Herbrich, R.2
Smola, A.3
-
34
-
-
0141521533
-
The kernel mutual information
-
A. Gretton, R. Herbrich, and A. Smola. The kernel mutual information. In ICASSP, volume 4, pages 880-883, 2003b.
-
(2003)
ICASSP
, vol.4
, pp. 880-883
-
-
Gretton, A.1
Herbrich, R.2
Smola, A.3
-
35
-
-
29144468229
-
Behaviour and convergence of the constrained covariance
-
MPI for Biological Cybernetics
-
A. Gretton, A. Smola, O. Bousquet, and R. Herbrich. Behaviour and convergence of the constrained covariance. Technical Report 130, MPI for Biological Cybernetics, 2004.
-
(2004)
Technical Report
, vol.130
-
-
Gretton, A.1
Smola, A.2
Bousquet, O.3
Herbrich, R.4
-
36
-
-
29144505110
-
Kernel constrained covariance for dependence measurement
-
A. Gretton, A. Smola, O. Bousquet, R. Herbrich, A. Belitski, M. Augath, Y. Murayama, J. Pauls, B. Schölkopf, and N. Logothetis. Kernel constrained covariance for dependence measurement. In AISTATS, volume 10, 2005b.
-
(2005)
AISTATS
, vol.10
-
-
Gretton, A.1
Smola, A.2
Bousquet, O.3
Herbrich, R.4
Belitski, A.5
Augath, M.6
Murayama, Y.7
Pauls, J.8
Schölkopf, B.9
Logothetis, N.10
-
38
-
-
0041376445
-
Kernel-based nonlinear blind source separation
-
S. Harmeling, A. Ziehe, M. Kawanabe, and K.-R. Müller. Kernel-based nonlinear blind source separation. Neural Computation, 15(5): 1089-1124, 2003.
-
(2003)
Neural Computation
, vol.15
, Issue.5
, pp. 1089-1124
-
-
Harmeling, S.1
Ziehe, A.2
Kawanabe, M.3
Müller, K.-R.4
-
40
-
-
29144480949
-
Kernels, associated structures, and generalizations
-
Max Planck Institute for Biological Cybernetics
-
M. Hein and O. Bousquet. Kernels, associated structures, and generalizations. Technical Report 127, Max Planck Institute for Biological Cybernetics, 2004.
-
(2004)
Technical Report
, vol.127
-
-
Hein, M.1
Bousquet, O.2
-
42
-
-
0037296681
-
On the separability of nonlinear mixtures of temporally correlated sources
-
S. Hosseni and C. Jutten. On the separability of nonlinear mixtures of temporally correlated sources. IEEE Signal Processing Letters, 10(2):43-46, 2003.
-
(2003)
IEEE Signal Processing Letters
, vol.10
, Issue.2
, pp. 43-46
-
-
Hosseni, S.1
Jutten, C.2
-
43
-
-
0031375733
-
One-unit contrast functions for independent component analysis: A statistical analysis
-
A. Hyvärinen. One-unit contrast functions for independent component analysis: A statistical analysis. In Proc. IEEE Neural Networks for Signal Processing Workshop, pages 388-397, 1997.
-
(1997)
Proc. IEEE Neural Networks for Signal Processing Workshop
, pp. 388-397
-
-
Hyvärinen, A.1
-
45
-
-
0041435860
-
Nonlinear independent component analysis: Existence and uniqueness results
-
A. Hyvärinen and P. Pajunen. Nonlinear independent component analysis: Existence and uniqueness results. Neural Networks, 12(3):429-439, 1999.
-
(1999)
Neural Networks
, vol.12
, Issue.3
, pp. 429-439
-
-
Hyvärinen, A.1
Pajunen, P.2
-
47
-
-
18144372083
-
Asymptotically minimax testing of the hypothesis of independence
-
Y. I. Ingster. Asymptotically minimax testing of the hypothesis of independence. Zap. Nauchn. Seminar. LOMI, 153 (1986)pp. 60-72,
-
Zap. Nauchn. Seminar. LOMI
, vol.153
, Issue.1986
, pp. 60-72
-
-
Ingster, Y.I.1
-
50
-
-
0141469302
-
-
Master's thesis, Technical University of Berlin
-
M. Kuss. Kernel multivariate analysis. Master's thesis, Technical University of Berlin, 2001.
-
(2001)
Kernel Multivariate Analysis
-
-
Kuss, M.1
-
51
-
-
0034304404
-
Kernel and nonlinear canonical correlation analysis
-
P. Lai and C. Fyfe. Kernel and nonlinear canonical correlation analysis. International Journal of Neural Systems, 10(5):365-377, 2000.
-
(2000)
International Journal of Neural Systems
, vol.10
, Issue.5
, pp. 365-377
-
-
Lai, P.1
Fyfe, C.2
-
52
-
-
8344261659
-
ICA using spacings estimates of entropy
-
E. Learned-Miller and J. Fisher III. ICA using spacings estimates of entropy. JMLR, 4:1271-1295, 2003.
-
(2003)
JMLR
, vol.4
, pp. 1271-1295
-
-
Learned-Miller, E.1
Fisher III, J.2
-
53
-
-
0034207888
-
A unifying framework for independent component analysis
-
T.-W. Lee, M. Girolami, A. Bell, and T. Sejnowski. A unifying framework for independent component analysis. Computers and Mathematics with Applications, 39:1-21, 2000.
-
(2000)
Computers and Mathematics with Applications
, vol.39
, pp. 1-21
-
-
Lee, T.-W.1
Girolami, M.2
Bell, A.3
Sejnowski, T.4
-
54
-
-
0000732447
-
Canonical correlation analysis when the data are curves
-
S. E. Leurgans, R. A. Moyeed, and B. W. Silverman. Canonical correlation analysis when the data are curves. Journal of the Royal Statistical Society, Series B (Methodological), 55(3):725-740, 1993.
-
(1993)
Journal of the Royal Statistical Society, Series B (Methodological)
, vol.55
, Issue.3
, pp. 725-740
-
-
Leurgans, S.E.1
Moyeed, R.A.2
Silverman, B.W.3
-
55
-
-
29144506096
-
Kernel canonical correlation analysis
-
Pattern Recognition and Image Processing Group, TU Wien
-
T. Melzer, M. Reiter, and H. Bischof. Kernel canonical correlation analysis. Technical Report PRIP-TR-65, Pattern Recognition and Image Processing Group, TU Wien, 2001.
-
(2001)
Technical Report
, vol.PRIP-TR-65
-
-
Melzer, T.1
Reiter, M.2
Bischof, H.3
-
56
-
-
0005079237
-
Éléments aléatoires dans un éspace de Banach
-
E. Mourier. Éléments aléatoires dans un éspace de Banach. Ann. Inst. H. Poincaré Sect B., 161: 161-244, 1953.
-
(1953)
Ann. Inst. H. Poincaré Sect B.
, vol.161
, pp. 161-244
-
-
Mourier, E.1
-
57
-
-
0041877169
-
Estimation of entropy and mutual information
-
L. Paninski. Estimation of entropy and mutual information. Neural Computation, 15:1191-1253, 2003.
-
(2003)
Neural Computation
, vol.15
, pp. 1191-1253
-
-
Paninski, L.1
-
60
-
-
15744369724
-
Fast algorithms for mutual information based independent component analysis
-
Submitted
-
D.-T. Pham. Fast algorithms for mutual information based independent component analysis. IEEE Transactions on Signal Processing, 2002. Submitted.
-
(2002)
IEEE Transactions on Signal Processing
-
-
Pham, D.-T.1
-
61
-
-
0031191456
-
Blind separation of mixture of independent sources through a quasimaximum likelihood approach
-
D.-T. Pham and P. Garat. Blind separation of mixture of independent sources through a quasimaximum likelihood approach. IEEE Transactions on Signal Processing, 45(7): 1712-1725, 1997.
-
(1997)
IEEE Transactions on Signal Processing
, vol.45
, Issue.7
, pp. 1712-1725
-
-
Pham, D.-T.1
Garat, P.2
-
63
-
-
0038259120
-
Kernel partial least squares regression in reproducing kernel hilbert spaces
-
R. Rosipal and L. Trejo. Kernel partial least squares regression in reproducing kernel hilbert spaces. Journal of Machine Learning Research, 1(2):97-123, 2001.
-
(2001)
Journal of Machine Learning Research
, vol.1
, Issue.2
, pp. 97-123
-
-
Rosipal, R.1
Trejo, L.2
-
64
-
-
29144464874
-
Nonparametric independent component analysis
-
A. Samarov and A. Tsybakov. Nonparametric independent component analysis. Bernoulli, 10: 565-582, 2004.
-
(2004)
Bernoulli
, vol.10
, pp. 565-582
-
-
Samarov, A.1
Tsybakov, A.2
-
66
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
B. Schölkopf, A. J. Smola, and K.-R. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319, 1998.
-
(1998)
Neural Computation
, vol.10
, pp. 1299-1319
-
-
Schölkopf, B.1
Smola, A.J.2
Müller, K.-R.3
-
69
-
-
0010786475
-
On the influence of the kernel on the consistency of support vector machines
-
I. Steinwart. On the influence of the kernel on the consistency of support vector machines. JMLR, 2, 2001.
-
(2001)
JMLR
, vol.2
-
-
Steinwart, I.1
-
70
-
-
34548820639
-
Least dependent component analysis based on mutual information
-
H. Stögbauer, A. Kraskov, S. A. Astakhov, and P. Grassberger. Least dependent component analysis based on mutual information. Phys. Rev. E, 70(6):066123, 2004.
-
(2004)
Phys. Rev. E
, vol.70
, Issue.6
, pp. 066123
-
-
Stögbauer, H.1
Kraskov, A.2
Astakhov, S.A.3
Grassberger, P.4
-
72
-
-
29144516371
-
Blind signal separation into groups of dependent signals using joint block diagonalisation
-
F. Theis. Blind signal separation into groups of dependent signals using joint block diagonalisation. In ISCAS, pages 5878-5881, 2005.
-
(2005)
ISCAS
, pp. 5878-5881
-
-
Theis, F.1
-
73
-
-
84958962514
-
Kernel canonical correlation analysis and least squares support vector machines
-
Springer Verlag
-
T. van Gestel, J. Suykens, J. de Brabanter, B. de Moor, and J. Vanderwalle. Kernel canonical correlation analysis and least squares support vector machines. In Proceedings of the International Conference on Artificial Neural Networks (ICANN). Springer Verlag, 2001.
-
(2001)
Proceedings of the International Conference on Artificial Neural Networks (ICANN)
-
-
Van Gestel, T.1
Suykens, J.2
De Brabanter, J.3
De Moor, B.4
Vanderwalle, J.5
-
74
-
-
0036964214
-
Adaptive RLS algorithm for blind source separation using a natural gradient
-
X.-L. Zhu and X.-D. Zhang. Adaptive RLS algorithm for blind source separation using a natural gradient. IEEE Signal Processing Letters, 9(12):432-435, 2002.
-
(2002)
IEEE Signal Processing Letters
, vol.9
, Issue.12
, pp. 432-435
-
-
Zhu, X.-L.1
Zhang, X.-D.2
|