-
1
-
-
85049184544
-
mathematical problems in image processing: partial differential equations and the calculus of ariations
-
Springer-Verlag
-
Aubert G., and Kornprobst P. mathematical problems in image processing: partial differential equations and the calculus of ariations. Applied Mathematical Sciences vol. 147 (2000), Springer-Verlag
-
(2000)
Applied Mathematical Sciences
, vol.147
-
-
Aubert, G.1
Kornprobst, P.2
-
2
-
-
0032028943
-
A Volterra type model for image processing
-
Cottet G.H., and Ayyadi M.E. A Volterra type model for image processing. IEEE Transaction on TIP 7 3 (1998) 292-303
-
(1998)
IEEE Transaction on TIP
, vol.7
, Issue.3
, pp. 292-303
-
-
Cottet, G.H.1
Ayyadi, M.E.2
-
5
-
-
0026954958
-
Principal components, minor components, and linear neural networks
-
Oja E. Principal components, minor components, and linear neural networks. Neural Networks 5 (1992) 927-935
-
(1992)
Neural Networks
, vol.5
, pp. 927-935
-
-
Oja, E.1
-
6
-
-
84898970836
-
Kernel PCA and de-noising in feature spaces
-
MIT Press, Cambridge, MA 536-554
-
Mika S., Schölkopf B., Smola A.J., Müller K.-R., Scholz M., and Rätsch G. Kernel PCA and de-noising in feature spaces. Advances in Neural Information Processing Systems vol. 11 (1999), MIT Press, Cambridge, MA 536-554
-
(1999)
Advances in Neural Information Processing Systems
, vol.11
-
-
Mika, S.1
Schölkopf, B.2
Smola, A.J.3
Müller, K.-R.4
Scholz, M.5
Rätsch, G.6
-
9
-
-
84975063397
-
-
A. Hyvärinen, Fast independent component analysis with noisy data using Gaussian moments, in: Proc. Int. Symp. on Circuits and Systems, Orlando, Florida, 1999.
-
A. Hyvärinen, Fast independent component analysis with noisy data using Gaussian moments, in: Proc. Int. Symp. on Circuits and Systems, Orlando, Florida, 1999.
-
-
-
-
10
-
-
0041324208
-
Gaussian moments for noisy independent component analysis
-
Hyvärinen A. Gaussian moments for noisy independent component analysis. IEEE Signal Processing Letters 6 6 (1999) 145-147
-
(1999)
IEEE Signal Processing Letters
, vol.6
, Issue.6
, pp. 145-147
-
-
Hyvärinen, A.1
-
11
-
-
0344505705
-
Independent component analysis in the presence of gaussian noise by maximizing joint likelihood
-
Hyvärinen A. Independent component analysis in the presence of gaussian noise by maximizing joint likelihood. Neurocomputing 22 (1998) 49-67
-
(1998)
Neurocomputing
, vol.22
, pp. 49-67
-
-
Hyvärinen, A.1
-
12
-
-
0348223982
-
Sparse coding shrinkage: denoising of nongaussian data by maximum likelihood estimation
-
Hyvärinen A. Sparse coding shrinkage: denoising of nongaussian data by maximum likelihood estimation. Neural Computation 11 7 (1997) 1739-1768
-
(1997)
Neural Computation
, vol.11
, Issue.7
, pp. 1739-1768
-
-
Hyvärinen, A.1
-
14
-
-
0030402111
-
-
E.P. Simoncelli, E.H. Adelson, Noise removal via bayesian wavelet coring, in: 3rd IEEE Int'l Conf. On Image Processing, September, Lausanne, Switzerland, 1996.
-
E.P. Simoncelli, E.H. Adelson, Noise removal via bayesian wavelet coring, in: 3rd IEEE Int'l Conf. On Image Processing, September, Lausanne, Switzerland, 1996.
-
-
-
-
16
-
-
84898964201
-
-
D.D. Lee, H.S. Seung, Algorithm for non-negative matrix factorization, in: Advances in Neural Information Processing 13 (Proc. NIP*2000), MIT Press, 2001.
-
D.D. Lee, H.S. Seung, Algorithm for non-negative matrix factorization, in: Advances in Neural Information Processing 13 (Proc. NIP*2000), MIT Press, 2001.
-
-
-
-
17
-
-
0042727634
-
Modeling receptive fields with non-negative sparse coding
-
Schutter E.D. (Ed), Elsevier, Amsterdam
-
Hoyer P.O. Modeling receptive fields with non-negative sparse coding. In: Schutter E.D. (Ed). Computational Neuroscience: Trends in Research 2003 (2003), Elsevier, Amsterdam
-
(2003)
Computational Neuroscience: Trends in Research 2003
-
-
Hoyer, P.O.1
-
18
-
-
0031524138
-
Normal inverse gaussian distributions and stochastic volatility modeling
-
Bandorff-Nielsen O.E. Normal inverse gaussian distributions and stochastic volatility modeling. Scandinavian Journal of Statistic 24 (1997) 1-13
-
(1997)
Scandinavian Journal of Statistic
, vol.24
, pp. 1-13
-
-
Bandorff-Nielsen, O.E.1
-
19
-
-
84975079720
-
-
A. Hanssen, T.A. Øigård, The normal inverse gaussian distributions as a flexible model for heavy tailed processes, in: Proc. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, June 3-6, Baltimore, Maryland, USA, 2001.
-
A. Hanssen, T.A. Øigård, The normal inverse gaussian distributions as a flexible model for heavy tailed processes, in: Proc. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, June 3-6, Baltimore, Maryland, USA, 2001.
-
-
-
-
20
-
-
0030832881
-
The 'independent components' of natural scenes are edge filters
-
Bell A., and Sejnowski T.J. The 'independent components' of natural scenes are edge filters. Vision Research 37 (1997) 3327-3338
-
(1997)
Vision Research
, vol.37
, pp. 3327-3338
-
-
Bell, A.1
Sejnowski, T.J.2
-
21
-
-
0032028943
-
A Volterra type model for image processing
-
Cottet G.H., and Ayyadi M.E. A Volterra type model for image processing. IEEE Transaction on TIP 7 (1998) 292-303
-
(1998)
IEEE Transaction on TIP
, vol.7
, pp. 292-303
-
-
Cottet, G.H.1
Ayyadi, M.E.2
|