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Juha Karhunen: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tapani Raiko, Matti Tornio, Antti Honkela, Juha Karhunen
    State Inference in Variational Bayesian Nonlinear State-Space Models. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:222-229 [Conf]
  2. Erkki Oja, Juha Karhunen, Aapo Hyvärinen
    From Neural Principal Components to Neural Independent Components. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:519-528 [Conf]
  3. Petteri Pajunen, Juha Karhunen
    A Maximum Likelihood Approach to Nonlinear Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:541-546 [Conf]
  4. K. Raju, Tapani Ristaniemi, Juha Karhunen, A. Oja
    Suppression of bit-pulsed jammer signals in DS-CDMA array system using independent component analysis. [Citation Graph (0, 0)][DBLP]
    ISCAS (1), 2002, pp:189-192 [Conf]
  5. Xavier Giannakopoulos, Juha Karhunen, Erkki Oja
    An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1999, v:9, n:2, pp:99-114 [Journal]
  6. Christian Jutten, Juha Karhunen
    Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2004, v:14, n:5, pp:267-292 [Journal]
  7. Juha Karhunen, Andrzej Cichocki, Wlodzimierz Kasprzak, Petteri Pajunen
    On Neural Blind Separation with Noise Suppression and Redundancy Reduction. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1997, v:8, n:2, pp:219-237 [Journal]
  8. Juha Karhunen, Simona Malaroiu, Mika Ilmoniemi
    Local Linear Independent Component Analysis Based on Clustering. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2000, v:10, n:6, pp:439-451 [Journal]
  9. Petteri Pajunen, Juha Karhunen
    Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1997, v:8, n:5-6, pp:601-612 [Journal]
  10. Andrzej Cichocki, Juha Karhunen, Wlodzimierz Kasprzak, Ricardo Vigário
    Neural networks for blind separation with unknown number of sources. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:24, n:1-3, pp:55-93 [Journal]
  11. Juha Karhunen, Petteri Pajunen, Erkki Oja
    The nonlinear PCA criterion in blind source separation: Relations with other approaches. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1998, v:22, n:1-3, pp:5-20 [Journal]
  12. Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen
    Building Blocks for Variational Bayesian Learning of Latent Variable Models. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:155-201 [Journal]
  13. Harri Valpola, Juha Karhunen
    An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:11, pp:2647-2692 [Journal]
  14. Juha Karhunen, Jyrki Joutsensalo
    Representation and separation of signals using nonlinear PCA type learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:1, pp:113-127 [Journal]
  15. Juha Karhunen, Jyrki Joutsensalo
    Generalizations of principal component analysis, optimization problems, and neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:4, pp:549-562 [Journal]
  16. Antti Honkela, Harri Valpola, Juha Karhunen
    Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2003, v:17, n:2, pp:191-203 [Journal]
  17. Harri Valpola, Markus Harva, Juha Karhunen
    Hierarchical models of variance sources. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2004, v:84, n:2, pp:267-282 [Journal]
  18. Tapani Raiko, Alexander Ilin, Juha Karhunen
    Principal Component Analysis for Large Scale Problems with Lots of Missing Values. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:691-698 [Conf]
  19. Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen
    Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:259-266 [Conf]
  20. Juha Karhunen, Tomas Ukkonen
    Extending ICA for finding jointly dependent components from two related data sets. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:16-18, pp:2969-2979 [Journal]

  21. Principal Component Analysis for Sparse High-Dimensional Data. [Citation Graph (, )][DBLP]


  22. Natural Conjugate Gradient in Variational Inference. [Citation Graph (, )][DBLP]


  23. Bayesian Robust PCA for Incomplete Data. [Citation Graph (, )][DBLP]


  24. Generalizing Independent Component Analysis for Two Related Data Sets. [Citation Graph (, )][DBLP]


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