-
1
-
-
0000396062
-
Natural gradient works efficiently in learning
-
Amari, S. (1998). Natural gradient works efficiently in learning. Neural Computation, 10, 251-276.
-
(1998)
Neural Computation
, vol.10
, pp. 251-276
-
-
Amari, S.1
-
2
-
-
0031271273
-
Blind source separation - Semi-parametric statistical approach
-
Amari, S., & Cardoso, J-F. (1997). Blind source separation - Semi-parametric statistical approach. IEEE Transactions on Signal Processing, 45(11), 2692-2700.
-
(1997)
IEEE Transactions on Signal Processing
, vol.45
, Issue.11
, pp. 2692-2700
-
-
Amari, S.1
Cardoso, J.-F.2
-
3
-
-
33749754615
-
A new learning algorithm for blind signal separation
-
Amari, S., Cichocki, A., & Yang, H. (1996). A new learning algorithm for blind signal separation. Neural Information Processing, 8, 757-763.
-
(1996)
Neural Information Processing
, vol.8
, pp. 757-763
-
-
Amari, S.1
Cichocki, A.2
Yang, H.3
-
4
-
-
0029411030
-
An information maximisation approach to blind separation and blind deconvolution
-
Bell, A., & Sejnowski, T. (1995). An information maximisation approach to blind separation and blind deconvolution. Neural Computation, 7, 1129-1159.
-
(1995)
Neural Computation
, vol.7
, pp. 1129-1159
-
-
Bell, A.1
Sejnowski, T.2
-
5
-
-
0030832881
-
The independent components of natural scenes are edge filters
-
Bell, A., & Sejnowski, T. (1997). The independent components of natural scenes are edge filters. Vision Research, 37(23), 3327-3338.
-
(1997)
Vision Research
, vol.37
, Issue.23
, pp. 3327-3338
-
-
Bell, A.1
Sejnowski, T.2
-
7
-
-
0010134082
-
Entropic contrasts for source separation
-
S. Haykin (Ed.)
-
Cardoso, J. F. (1998b). Entropic contrasts for source separation. In S. Haykin (Ed.), Unsupervised adaptive filtering.
-
(1998)
Unsupervised Adaptive Filtering
-
-
Cardoso, J.F.1
-
9
-
-
0000062587
-
Neural network approach to blind separation and enhancement of images
-
Cichocki, A., Kasprzak, W., & Amari, S. (1996). Neural network approach to blind separation and enhancement of images. In Signal Processing VIII. Theories and Applications, EURASIP/LINT Publ., 1, 579-582.
-
(1996)
Signal Processing VIII. Theories and Applications, EURASIP/LINT Publ.
, vol.1
, pp. 579-582
-
-
Cichocki, A.1
Kasprzak, W.2
Amari, S.3
-
10
-
-
0028498103
-
Robust learning algorithm for blind separation of signals
-
Cichocki, A., Unbehauen, R., & Rummert, E. (1994). Robust learning algorithm for blind separation of signals. Electronics Letters, 30, 1386-1387.
-
(1994)
Electronics Letters
, vol.30
, pp. 1386-1387
-
-
Cichocki, A.1
Unbehauen, R.2
Rummert, E.3
-
11
-
-
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
-
13
-
-
0003578015
-
-
Portsmouth, NH: Heinemann Educational Books
-
Everitt, B. S. (1993). Cluster analysis. Portsmouth, NH: Heinemann Educational Books.
-
(1993)
Cluster Analysis
-
-
Everitt, B.S.1
-
14
-
-
0030674678
-
Generalised independent component analysis through unsupervised learning with emergent Bussgang properties
-
Girolami, M., & Fyfe, C. (1997a). Generalised independent component analysis through unsupervised learning with emergent Bussgang properties. In Proc I.E.E.E/I.C.N.N, International Conference on Neural Networks (pp. 1788-1891).
-
(1997)
Proc I.E.E.E/I.C.N.N, International Conference on Neural Networks
, pp. 1788-1891
-
-
Girolami, M.1
Fyfe, C.2
-
15
-
-
0031251223
-
Extraction of independent signal sources using a deflationary exploratory projection pursuit network with lateral inhibition
-
Girolami, M., & Fyfe, C. (1997b). Extraction of independent signal sources using a deflationary exploratory projection pursuit network with lateral inhibition. In I.E.E. Proceedings on Vision, Image and Signal Processing (Vol. 14, 5, pp. 299-306).
-
(1997)
I.E.E. Proceedings on Vision, Image and Signal Processing
, vol.14
, Issue.5
, pp. 299-306
-
-
Girolami, M.1
Fyfe, C.2
-
17
-
-
0032143832
-
The latent variable data model for exploratory data analysis and visualisation: A generalisation of the nonlinear infomax algorithm
-
Girolami, M. (1998). The latent variable data model for exploratory data analysis and visualisation: A generalisation of the nonlinear infomax algorithm. Neural Processing Letters.
-
(1998)
Neural Processing Letters
-
-
Girolami, M.1
-
18
-
-
0007151183
-
A common neural network model for exploratory data analysis and independent component analysis
-
(Tech. Rep. No. BIP-97-001). Saitama, Japan: RIKEN, Brain Science Institute
-
Girolami, M., Cichocki, A., & Amari, S. I. (1997). A common neural network model for exploratory data analysis and independent component analysis. Brain Information Processing Group (Tech. Rep. No. BIP-97-001). Saitama, Japan: RIKEN, Brain Science Institute.
-
(1997)
Brain Information Processing Group
-
-
Girolami, M.1
Cichocki, A.2
Amari, S.I.3
-
19
-
-
0004209078
-
-
Englewood Cliffs, NJ: Prentice Hall
-
Haykin, S. (1994). Blind deconvolution. Englewood Cliffs, NJ: Prentice Hall.
-
(1994)
Blind Deconvolution
-
-
Haykin, S.1
-
21
-
-
72149134584
-
Extended ICA removes artifacts from electroencephalographic recordings
-
M. I. Jordan, M. J. Kearns, & S. A. Solla (Eds.), MIT Press, In Press
-
Jung, T. P., Humphries, C., Lee, T. W., Makeig, S., McKeown, M., Iragui, V., & Sejnowski, T. (1997). Extended ICA removes artifacts from electroencephalographic recordings. In M. I. Jordan, M. J. Kearns, & S. A. Solla (Eds.), Advances in neural information processing systems, 10. MIT Press, In Press.
-
(1997)
Advances in Neural Information Processing Systems
, vol.10
-
-
Jung, T.P.1
Humphries, C.2
Lee, T.W.3
Makeig, S.4
McKeown, M.5
Iragui, V.6
Sejnowski, T.7
-
22
-
-
0026191274
-
Blind separation of sources, part 1: An adaptive algorithm based on neuromimetic architecture
-
Jutten, C., & Herault, J. (1991). Blind separation of sources, part 1: An adaptive algorithm based on neuromimetic architecture. Signal Processing, 24, 1-10.
-
(1991)
Signal Processing
, vol.24
, pp. 1-10
-
-
Jutten, C.1
Herault, J.2
-
23
-
-
0002580546
-
Neural approaches to independent component analysis and source separation
-
Karhunen, J. (1996). Neural approaches to independent component analysis and source separation. In Proc. ESANN'96 (pp. 249-266).
-
(1996)
Proc. ESANN'96
, pp. 249-266
-
-
Karhunen, J.1
-
24
-
-
0028272776
-
Representation and separation of signals using nonlinear PCA type learning
-
Karhunen, J., & Joutsensalo, J. (1994). Representation and separation of signals using nonlinear PCA type learning. Neural Networks, 7, 113-127.
-
(1994)
Neural Networks
, vol.7
, pp. 113-127
-
-
Karhunen, J.1
Joutsensalo, J.2
-
25
-
-
0030682332
-
Blind source separation using least-squares type adaptive algorithms
-
Karhunen, J., & Pajunen, P. (1997). Blind source separation using least-squares type adaptive algorithms. In Proc I.E.E.E Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP'97) (pp. 3361-3364).
-
(1997)
Proc I.E.E.E Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP'97)
, pp. 3361-3364
-
-
Karhunen, J.1
Pajunen, P.2
-
27
-
-
84926493389
-
A unifying information theoretic framework for independent component analysis
-
(in press)
-
Lee, T. W., Girolami, M., Bell, A. J., & Sejnowski, T. (in press). A unifying information theoretic framework for independent component analysis. International Journal on Mathematical and Computer Modelling.
-
International Journal on Mathematical and Computer Modelling
-
-
Lee, T.W.1
Girolami, M.2
Bell, A.J.3
Sejnowski, T.4
-
28
-
-
0001144814
-
Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources
-
Lee, T. W., Girolami, M., & Sejnowski, T. (1998). Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources. Neural Computation.
-
(1998)
Neural Computation
-
-
Lee, T.W.1
Girolami, M.2
Sejnowski, T.3
-
29
-
-
0347961826
-
A linear adaptive neural network for extraction of independent components
-
Malouche, Z., & Macchi, O. (1997). A linear adaptive neural network for extraction of independent components. ESANN'97, Special ICA Session (pp. 261-266).
-
(1997)
ESANN'97, Special ICA Session
, pp. 261-266
-
-
Malouche, Z.1
Macchi, O.2
-
30
-
-
0007210208
-
Transiently time-locked fMRI activations revealed by independent component analysis
-
McKeown, M., Jung, T. P., Makeig, S., Brown, G., Kindermann, S., Lee, T. W., & Sejnowski, T. (1997). Transiently time-locked fMRI activations revealed by independent component analysis. Proceeding of the National Academy of Sciences, 95, 803-810.
-
(1997)
Proceeding of the National Academy of Sciences
, vol.95
, pp. 803-810
-
-
McKeown, M.1
Jung, T.P.2
Makeig, S.3
Brown, G.4
Kindermann, S.5
Lee, T.W.6
Sejnowski, T.7
-
31
-
-
0030676410
-
Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models
-
Moulines, E., Cardoso, J. F., & Gassiat, E. (1997). Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models. In Proc. ICASSP'97 (Vol. 5, pp. 3617-3620).
-
(1997)
Proc. ICASSP'97
, vol.5
, pp. 3617-3620
-
-
Moulines, E.1
Cardoso, J.F.2
Gassiat, E.3
-
32
-
-
0020464111
-
A simplified neuron model as a principal component analyser
-
Oja, E. (1982). A simplified neuron model as a principal component analyser. Journal of Mathematical Biology, 15, 267-273.
-
(1982)
Journal of Mathematical Biology
, vol.15
, pp. 267-273
-
-
Oja, E.1
-
33
-
-
0002399288
-
Neural networks, principal components and subspaces
-
Oja, E. (1989). Neural networks, principal components and subspaces. International Journal of Neural Systems, 1, 61-68.
-
(1989)
International Journal of Neural Systems
, vol.1
, pp. 61-68
-
-
Oja, E.1
-
34
-
-
0343416807
-
The nonlinear PCA learning rule in independent component analysis
-
Oja, E. (1997). The nonlinear PCA learning rule in independent component analysis. Neurocomputing, 17, 25-45.
-
(1997)
Neurocomputing
, vol.17
, pp. 25-45
-
-
Oja, E.1
-
36
-
-
0002100868
-
Contributions to the mathematical study of evolution
-
Pearson, K. (1894). Contributions to the mathematical study of evolution. Phil. Trans. Roy. Soc., A 185, 71.
-
(1894)
Phil. Trans. Roy. Soc., A
, vol.185
, pp. 71
-
-
Pearson, K.1
-
38
-
-
0030706830
-
Independent component analysis by the information theoretic approach with mixture of density
-
Xu, L., Cheung, C., Yang, H., & Amari, S-I. (1997). Independent component analysis by the information theoretic approach with mixture of density. In Proc. IEEE International Conference on Neural Networks (Vol. 3, 1821-1826).
-
(1997)
Proc. IEEE International Conference on Neural Networks
, vol.3
, pp. 1821-1826
-
-
Xu, L.1
Cheung, C.2
Yang, H.3
Amari, S.-I.4
|