 | 2012 |
| 35 |  | Juha Karhunen,
Tele Hao,
Jarkko Ylipaavalniemi:
A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets.
LVA/ICA 2012: 91-98 |
| 2011 |
| 34 |  | Juha Karhunen,
Tele Hao:
Finding dependent and independent components from two related data sets.
IJCNN 2011: 457-466 |
| 2010 |
| 33 |  | Antti Honkela,
Tapani Raiko,
Mikael Kuusela,
Matti Tornio,
Juha Karhunen:
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes.
Journal of Machine Learning Research 11: 3235-3268 (2010) |
| 2009 |
| 32 |  | Jaakko Luttinen,
Alexander Ilin,
Juha Karhunen:
Bayesian Robust PCA for Incomplete Data.
ICA 2009: 66-73 |
| 31 |  | Mikael Kuusela,
Tapani Raiko,
Antti Honkela,
Juha Karhunen:
A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians.
IJCNN 2009: 1688-1695 |
| 2007 |
| 30 |  | Tapani Raiko,
Alexander Ilin,
Juha Karhunen:
Principal Component Analysis for Large Scale Problems with Lots of Missing Values.
ECML 2007: 691-698 |
| 29 |  | Tapani Raiko,
Alexander Ilin,
Juha Karhunen:
Principal Component Analysis for Sparse High-Dimensional Data.
ICONIP (1) 2007: 566-575 |
| 28 |  | Antti Honkela,
Matti Tornio,
Tapani Raiko,
Juha Karhunen:
Natural Conjugate Gradient in Variational Inference.
ICONIP (2) 2007: 305-314 |
| 27 |  | Antti Honkela,
Harri Valpola,
Alexander Ilin,
Juha Karhunen:
Blind separation of nonlinear mixtures by variational Bayesian learning.
Digital Signal Processing 17(5): 914-934 (2007) |
| 26 |  | Tapani Raiko,
Harri Valpola,
Markus Harva,
Juha Karhunen:
Building Blocks for Variational Bayesian Learning of Latent Variable Models.
Journal of Machine Learning Research 8: 155-201 (2007) |
| 25 |  | Juha Karhunen,
Tomas Ukkonen:
Extending ICA for finding jointly dependent components from two related data sets.
Neurocomputing 70(16-18): 2969-2979 (2007) |
| 2006 |
| 24 |  | Tapani Raiko,
Matti Tornio,
Antti Honkela,
Juha Karhunen:
State Inference in Variational Bayesian Nonlinear State-Space Models.
ICA 2006: 222-229 |
| 23 |  | Juha Karhunen,
Tomas Ukkonen:
Generalizing Independent Component Analysis for Two Related Data Sets.
IJCNN 2006: 843-850 |
| 22 |  | K. Raju,
Tapani Ristaniemi,
Juha Karhunen,
Erkki Oja:
Jammer suppression in DS-CDMA arrays using independent component analysis.
IEEE Transactions on Wireless Communications 5(1): 77-82 (2006) |
| 2005 |
| 21 |  | Markus Harva,
Tapani Raiko,
Antti Honkela,
Harri Valpola,
Juha Karhunen:
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework.
UAI 2005: 259-266 |
| 2004 |
| 20 |  | Christian Jutten,
Juha Karhunen:
Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures.
Int. J. Neural Syst. 14(5): 267-292 (2004) |
| 19 |  | Harri Valpola,
Markus Harva,
Juha Karhunen:
Hierarchical models of variance sources.
Signal Processing 84(2): 267-282 (2004) |
| 2003 |
| 18 |  | Antti Honkela,
Harri Valpola,
Juha Karhunen:
Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches.
Neural Processing Letters 17(2): 191-203 (2003) |
| 2002 |
| 17 |  | K. Raju,
Tapani Ristaniemi,
Juha Karhunen,
A. Oja:
Suppression of bit-pulsed jammer signals in DS-CDMA array system using independent component analysis.
ISCAS (1) 2002: 189-192 |
| 16 |  | Harri Valpola,
Juha Karhunen:
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models.
Neural Computation 14(11): 2647-2692 (2002) |
| 2000 |
| 15 |  | Juha Karhunen,
Simona Malaroiu,
Mika Ilmoniemi:
Local Linear Independent Component Analysis Based on Clustering.
Int. J. Neural Syst. 10(6): 439-451 (2000) |
| 1999 |
| 14 |  | Xavier Giannakopoulos,
Juha Karhunen,
Erkki Oja:
An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation.
Int. J. Neural Syst. 9(2): 99-114 (1999) |
| 13 |  | Andrzej Cichocki,
Juha Karhunen,
Wlodzimierz Kasprzak,
Ricardo Vigário:
Neural networks for blind separation with unknown number of sources.
Neurocomputing 24(1-3): 55-93 (1999) |
| 1998 |
| 12 |  | Juha Karhunen,
Petteri Pajunen,
Erkki Oja:
The nonlinear PCA criterion in blind source separation: Relations with other approaches.
Neurocomputing 22(1-3): 5-20 (1998) |
| 11 |  | Juha Karhunen:
Principal component neural networks - Theory and applications - By K.I. Diamantaras and S.Y. Kung. John Wiley, New York, 1996. xii+255 pp. ISBN 0-471-05436-4.
Pattern Anal. Appl. 1(1): 74-75 (1998) |
| 1997 |
| 10 |  | Erkki Oja,
Juha Karhunen,
Aapo Hyvärinen:
From Neural Principal Components to Neural Independent Components.
ICANN 1997: 519-528 |
| 9 |  | Petteri Pajunen,
Juha Karhunen:
A Maximum Likelihood Approach to Nonlinear Blind Source Separation.
ICANN 1997: 541-546 |
| 8 |  | Juha Karhunen,
Andrzej Cichocki,
Wlodzimierz Kasprzak,
Petteri Pajunen:
On Neural Blind Separation with Noise Suppression and Redundancy Reduction.
Int. J. Neural Syst. 8(2): 219-237 (1997) |
| 7 |  | Petteri Pajunen,
Juha Karhunen:
Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA.
Int. J. Neural Syst. 8(5-6): 601-612 (1997) |
| 1996 |
| 6 |  | Juha Karhunen:
Neural approaches to independent component analysis and source separation.
ESANN 1996 |
| 1995 |
| 5 |  | Juha Karhunen,
Jyrki Joutsensalo:
Generalizations of principal component analysis, optimization problems, and neural networks.
Neural Networks 8(4): 549-562 (1995) |
| 4 |  | Jyrki Joutsensalo,
Juha Karhunen:
A nonlinear extension of the Generalized Hebbian learning.
Neural Processing Letters 2(1): 5-8 (1995) |
| 1994 |
| 3 |  | Juha Karhunen:
Stability of Oja's PCA Subspace Rule.
Neural Computation 6(4): 739-747 (1994) |
| 2 |  | Juha Karhunen,
Jyrki Joutsensalo:
Representation and separation of signals using nonlinear PCA type learning.
Neural Networks 7(1): 113-127 (1994) |
| 1992 |
| 1 |  | Juha Karhunen,
Jyrki Joutsensalo:
Sinusoidal frequency estimation by signal subspace approximation.
IEEE Transactions on Signal Processing 40(12): 2961-2972 (1992) |