Adaptive algorithms for estimating eigenvectors of correlation type matrices. - Juha Karhunen (ICASSP, 1984)

Tracking of sinusoidal frequencies by neural network learning algorithms. - Juha Karhunen; Jyrki Joutsensalo (ICASSP, 1991)

Robust MUSIC based on direct signal subspace estimation. - Juha Karhunen; Jyrki Joutsensalo (ICASSP, 1991)

Sinusoidal frequency estimation by signal subspace approximation. - Juha Karhunen; Jyrki Joutsensalo (IEEE Trans. Signal Process., 1992)

Stability of Oja's PCA Subspace Rule. - Juha Karhunen (Neural Comput., 1994)

Representation and separation of signals using nonlinear PCA type learning. - Juha Karhunen; Jyrki Joutsensalo (Neural Networks, 1994)

Nonlinear PCA type approaches for source separation and independent component analysis. - Juha Karhunen; Liuyue Wang; Ricardo Vigário (ICNN, 1995)

A bigradient optimization approach for robust PCA, MCA, and source separation. - Liuyue Wang; Juha Karhunen; Erkki Oja (ICNN, 1995)

Generalizations of principal component analysis, optimization problems, and neural networks. - Juha Karhunen; Jyrki Joutsensalo (Neural Networks, 1995)

A nonlinear extension of the Generalized Hebbian learning. - Jyrki Joutsensalo; Juha Karhunen (Neural Process. Lett., 1995)

Neural approaches to independent component analysis and source separation. - Juha Karhunen (ESANN, 1996)

A Unified Neural Bigradient Algorithm for robust PCA and MCA. - Liuyue Wang; Juha Karhunen (Int. J. Neural Syst., 1996)

From Neural Principal Components to Neural Independent Components. - Erkki Oja; Juha Karhunen; Aapo Hyvärinen (ICANN, 1997)

A Maximum Likelihood Approach to Nonlinear Blind Source Separation. - Petteri Pajunen; Juha Karhunen (ICANN, 1997)

Applications of neural blind separation to signal and image processing. - Juha Karhunen; Aapo Hyvärinen; Ricardo Vigário; Jarmo Hurri; Erkki Oja (ICASSP, 1997)

Blind source separation using least-squares type adaptive algorithms. - Juha Karhunen; Petteri Pajunen (ICASSP, 1997)

Blind source separation and tracking using nonlinear PCA criterion: a least-squares approach. - Juha Karhunen; Petteri Pajunen (ICNN, 1997)

On Neural Blind Separation with Noise Suppression and Redundancy Reduction. - Juha Karhunen; Andrzej Cichocki; Wlodzimierz Kasprzak; Petteri Pajunen (Int. J. Neural Syst., 1997)

Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA. - Petteri Pajunen; Juha Karhunen (Int. J. Neural Syst., 1997)

A class of neural networks for independent component analysis. - Juha Karhunen; Erkki Oja; Liuyue Wang; Ricardo Vigário; Jyrki Joutsensalo (IEEE Trans. Neural Networks, 1997)

Blind separation from ε-contaminated mixtures. - Visa Koivunen; Petteri Pajunen; Juha Karhunen; Erkki Oja (EUSIPCO, 1998)

The nonlinear PCA criterion in blind source separation: Relations with other approaches. - Juha Karhunen; Petteri Pajunen; Erkki Oja (Neurocomputing, 1998)

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. - Juha Karhunen (Pattern Anal. Appl., 1998)

A comparison of neural ICA algorithms using real-world data. - Xavier Giannakopoulos; Juha Karhunen; Erkki Oja (IJCNN, 1999)

Locally linear independent component analysis. - Juha Karhunen; Simona Malaroiu (IJCNN, 1999)

An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation. - Xavier Giannakopoulos; Juha Karhunen; Erkki Oja (Int. J. Neural Syst., 1999)

Neural networks for blind separation with unknown number of sources. - Andrzej Cichocki; Juha Karhunen; Wlodzimierz Kasprzak; Ricardo Vigário (Neurocomputing, 1999)

Blind separation of convolved mixtures for CDMA systems. - Razvan Cristescu; Tapani Ristaniemi; Jyrki Joutsensalo; Juha Karhunen (EUSIPCO, 2000)

CDMA delay estimation using fast ICA algorithm. - Razvan Cristescu; Tapani Ristaniemi; Jyrki Joutsensalo; Juha Karhunen (PIMRC, 2000)

Local Linear Independent Component Analysis Based on Clustering. - Juha Karhunen; Simona Malaroiu; Mika Ilmoniemi (Int. J. Neural Syst., 2000)

Independent Component Analysis - Aapo Hyvärinen; Juha Karhunen; Erkki Oja (Wiley, 2001)

Jammer mitigation in DS-CDMA array system using independent component analysis. - Tapani Ristaniemi; Karthikesh Raju; Juha Karhunen (ICC, 2002)

Suppression of bit-pulsed jammer signals in DS-CDMA array system using independent component analysis. - Karthikesh Raju; Tapani Ristaniemi; Juha Karhunen; A. Oja (ISCAS (1), 2002)

Jammer cancellation in DS-CDMA arrays: pre and post switching of ICA and RAKE. - Tapani Ristaniemi; Karthikesh Raju; Juha Karhunen; Erkki Oja (NNSP, 2002)

An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models. - Harri Valpola; Juha Karhunen (Neural Comput., 2002)

Nonlinear Blind Source Separation by Variational Bayesian Learning. - Harri Valpola; Erkki Oja; Alexander Ilin; Antti Honkela; Juha Karhunen (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003)

Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches. - Antti Honkela; Harri Valpola; Juha Karhunen (Neural Process. Lett., 2003)

Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures. - Christian Jutten; Juha Karhunen (Int. J. Neural Syst., 2004)

Hierarchical models of variance sources. - Harri Valpola; Markus Harva; Juha Karhunen (Signal Process., 2004)

Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. - Markus Harva; Tapani Raiko; Antti Honkela; Harri Valpola; Juha Karhunen (UAI, 2005)

State Inference in Variational Bayesian Nonlinear State-Space Models. - Tapani Raiko; Matti Tornio; Antti Honkela; Juha Karhunen (ICA, 2006)

Generalizing Independent Component Analysis for Two Related Data Sets. - Juha Karhunen; Tomas Ukkonen (IJCNN, 2006)

Jammer suppression in DS-CDMA arrays using independent component analysis. - Karthikesh Raju; Tapani Ristaniemi; Juha Karhunen; Erkki Oja (IEEE Trans. Wirel. Commun., 2006)

Principal Component Analysis for Large Scale Problems with Lots of Missing Values. - Tapani Raiko; Alexander Ilin; Juha Karhunen (ECML, 2007)

Natural Conjugate Gradient in Variational Inference. - Antti Honkela; Matti Tornio; Tapani Raiko; Juha Karhunen (ICONIP (2), 2007)

Principal Component Analysis for Sparse High-Dimensional Data. - Tapani Raiko; Alexander Ilin; Juha Karhunen (ICONIP (1), 2007)

Blind separation of nonlinear mixtures by variational Bayesian learning. - Antti Honkela; Harri Valpola; Alexander Ilin; Juha Karhunen (Digit. Signal Process., 2007)

Extending ICA for finding jointly dependent components from two related data sets. - Juha Karhunen; Tomas Ukkonen (Neurocomputing, 2007)

Building Blocks for Variational Bayesian Learning of Latent Variable Models. - Tapani Raiko; Harri Valpola; Markus Harva; Juha Karhunen (J. Mach. Learn. Res., 2007)

A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians. - Mikael Kuusela; Tapani Raiko; Antti Honkela; Juha Karhunen (IJCNN, 2009)

Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes. - Antti Honkela; Tapani Raiko; Mikael Kuusela; Matti Tornio; Juha Karhunen (J. Mach. Learn. Res., 2010)

Finding dependent and independent components from two related data sets. - Juha Karhunen; Tele Hao (IJCNN, 2011)

A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets. - Juha Karhunen; Tele Hao; Jarkko Ylipaavalniemi (LVA/ICA, 2012)

Gated Boltzmann Machine in Texture Modeling. - Tele Hao; Tapani Raiko; Alexander Ilin; Juha Karhunen (ICANN (2), 2012)

A generalized canonical correlation analysis based method for blind source separation from related data sets. - Juha Karhunen; Tele Hao; Jarkko Ylipaavalniemi (IJCNN, 2012)

Bayesian Robust PCA of Incomplete Data. - Jaakko Luttinen; Alexander Ilin; Juha Karhunen (Neural Process. Lett., 2012)

A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines. - KyungHyun Cho; Tapani Raiko; Alexander Ilin; Juha Karhunen (ICANN, 2013)

Finding dependent and independent components from related data sets: A generalized canonical correlation analysis based method. - Juha Karhunen; Tele Hao; Jarkko Ylipaavalniemi (Neurocomputing, 2013)

Variable selection for regression problems using Gaussian mixture models to estimate mutual information. - Emil Eirola; Amaury Lendasse; Juha Karhunen (IJCNN, 2014)

Stochastic Discriminant Analysis. - Mika Juuti; Francesco Corona; Juha Karhunen (IJCNN, 2015)

Bidirectional Recurrent Neural Networks as Generative Models. - Mathias Berglund; Tapani Raiko; Mikko Honkala; Leo Kärkkäinen; Akos Vetek; Juha Karhunen (NIPS, 2015)

Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes. - Luiza Sayfullina; Emil Eirola; Dmitry Komashinsky; Paolo Palumbo; Yoan Miché; Amaury Lendasse; Juha Karhunen (TrustCom/BigDataSE/ISPA (1), 2015)

Arbitrary Category Classification of Websites Based on Image Content. - Anton Akusok; Yoan Miche; Juha Karhunen; Kaj-Mikael Björk; Rui Nian; Amaury Lendasse (IEEE Comput. Intell. Mag., 2015)

Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series. - Mathias Berglund; Tapani Raiko; Mikko Honkala; Leo Kärkkäinen; Akos Vetek; Juha Karhunen (CoRR, 2015)

Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation. - Huiling Wang; Tapani Raiko; Lasse Lensu; Tinghuai Wang; Juha Karhunen (ACCV (1), 2016)

Android Malware Detection: Building Useful Representations. - Luiza Sayfullina; Emil Eirola; Dmitry Komashinsky; Paolo Palumbo; Juha Karhunen (ICMLA, 2016)

Gaussian Process kernels for popular state-space time series models. - Alexander Grigorievskiy; Juha Karhunen (IJCNN, 2016)

Air quality forecasting using neural networks. - Chen Zhao; Mark van Heeswijk; Juha Karhunen (SSCI, 2016)

A Character-Word Compositional Neural Language Model for Finnish. - Matti Lankinen; Hannes Heikinheimo; Pyry Takala; Tapani Raiko; Juha Karhunen (CoRR, 2016)

Detecting aging of process sensors with noise signal measurement. - Topi Toosi; Miki Sirola; Jarkko Laukkanen; Mark van Heeswijk; Juha Karhunen (IDAACS, 2017)

Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map. - Satoru Ishikawa; Jorma Laaksonen; Juha Karhunen (IJCNN, 2017)

A pragmatic android malware detection procedure. - Paolo Palumbo; Luiza Sayfullina; Dmitriy Komashinskiy; Emil Eirola; Juha Karhunen (Comput. Secur., 2017)

Stochastic discriminant analysis for linear supervised dimension reduction. - Mika Juuti; Francesco Corona; Juha Karhunen (Neurocomputing, 2018)

Method for Detecting aging Related Failures of Process Sensors via noise signal Measurement. - Topi Toosi; Miki Sirola; Jarkko Laukkanen; Mark van Heeswijk; Juha Karhunen (Int. J. Comput., 2019)