Juha Karhunen

	2009
26		Jaakko Luttinen, Alexander Ilin, Juha Karhunen: Bayesian Robust PCA for Incomplete Data. ICA 2009: 66-73
	2007
25		Tapani Raiko, Alexander Ilin, Juha Karhunen: Principal Component Analysis for Large Scale Problems with Lots of Missing Values. ECML 2007: 691-698
24		Tapani Raiko, Alexander Ilin, Juha Karhunen: Principal Component Analysis for Sparse High-Dimensional Data. ICONIP (1) 2007: 566-575
23		Antti Honkela, Matti Tornio, Tapani Raiko, Juha Karhunen: Natural Conjugate Gradient in Variational Inference. ICONIP (2) 2007: 305-314
22		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)
21		Juha Karhunen, Tomas Ukkonen: Extending ICA for finding jointly dependent components from two related data sets. Neurocomputing 70(16-18): 2969-2979 (2007)
	2006
20		Tapani Raiko, Matti Tornio, Antti Honkela, Juha Karhunen: State Inference in Variational Bayesian Nonlinear State-Space Models. ICA 2006: 222-229
19		Juha Karhunen, Tomas Ukkonen: Generalizing Independent Component Analysis for Two Related Data Sets. IJCNN 2006: 843-850
18		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
17		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
16		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)
15		Harri Valpola, Markus Harva, Juha Karhunen: Hierarchical models of variance sources. Signal Processing 84(2): 267-282 (2004)
	2003
14		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
13		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
12		Harri Valpola, Juha Karhunen: An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models. Neural Computation 14(11): 2647-2692 (2002)
	2000
11		Juha Karhunen, Simona Malaroiu, Mika Ilmoniemi: Local Linear Independent Component Analysis Based on Clustering. Int. J. Neural Syst. 10(6): 439-451 (2000)
	1999
10		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)
9		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
8		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)
	1997
7		Erkki Oja, Juha Karhunen, Aapo Hyvärinen: From Neural Principal Components to Neural Independent Components. ICANN 1997: 519-528
6		Petteri Pajunen, Juha Karhunen: A Maximum Likelihood Approach to Nonlinear Blind Source Separation. ICANN 1997: 541-546
5		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)
4		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)
	1995
3		Juha Karhunen, Jyrki Joutsensalo: Generalizations of principal component analysis, optimization problems, and neural networks. Neural Networks 8(4): 549-562 (1995)
	1994
2		Juha Karhunen: Stability of Oja's PCA Subspace Rule. Neural Computation 6(4): 739-747 (1994)
1		Juha Karhunen, Jyrki Joutsensalo: Representation and separation of signals using nonlinear PCA type learning. Neural Networks 7(1): 113-127 (1994)

Coauthor Index

1	Andrzej Cichocki	[5] [9]
2	Xavier Giannakopoulos	[10]
3	Markus Harva	[15] [17] [22]
4	Antti Honkela	[14] [17] [20] [23]
5	Aapo Hyvärinen	[7]
6	Alexander Ilin	[24] [25] [26]
7	Mika Ilmoniemi	[11]
8	Jyrki Joutsensalo	[1] [3]
9	Christian Jutten	[16]
10	Wlodzimierz Kasprzak	[5] [9]
11	Jaakko Luttinen	[26]
12	Simona Malaroiu	[11]
13	A. Oja	[13]
14	Erkki Oja	[7] [8] [10] [18]
15	Petteri Pajunen	[4] [5] [6] [8]
16	Tapani Raiko	[17] [20] [22] [23] [24] [25]
17	K. Raju	[13] [18]
18	Tapani Ristaniemi	[13] [18]
19	Matti Tornio	[20] [23]
20	Tomas Ukkonen	[19] [21]
21	Harri Valpola	[12] [14] [15] [17] [22]
22	Ricardo Vigário	[9]

Colors in the list of coauthors