Juha Karhunen

According to our database, Juha Karhunen authored at least 74 papers between 1984 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

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

2018

Stochastic discriminant analysis for linear supervised dimension reduction.

Mika Juuti, Francesco Corona, Juha Karhunen

Neurocomputing, 2018

2017

A pragmatic android malware detection procedure.

Paolo Palumbo, Luiza Sayfullina, Dmitriy Komashinskiy, Emil Eirola, Juha Karhunen

Comput. Secur., 2017

Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map.

Satoru Ishikawa, Jorma Laaksonen, Juha Karhunen

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Detecting aging of process sensors with noise signal measurement.

Topi Toosi, Miki Sirola, Jarkko Laukkanen, Mark van Heeswijk, Juha Karhunen

Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017

2016

A Character-Word Compositional Neural Language Model for Finnish.

Matti Lankinen, Hannes Heikinheimo, Pyry Takala, Tapani Raiko, Juha Karhunen

CoRR, 2016

Air quality forecasting using neural networks.

Chen Zhao, Mark van Heeswijk, Juha Karhunen

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Gaussian Process kernels for popular state-space time series models.

Alexander Grigorievskiy, Juha Karhunen

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Android Malware Detection: Building Useful Representations.

Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Juha Karhunen

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation.

Huiling Wang, Tapani Raiko, Lasse Lensu, Tinghuai Wang, Juha Karhunen

Proceedings of the Computer Vision - ACCV 2016, 2016

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

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

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

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Bidirectional Recurrent Neural Networks as Generative Models.

Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha Karhunen

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Stochastic Discriminant Analysis.

Mika Juuti, Francesco Corona, Juha Karhunen

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Variable selection for regression problems using Gaussian mixture models to estimate mutual information.

Emil Eirola, Amaury Lendasse, Juha Karhunen

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

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

A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines.

KyungHyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

Bayesian Robust PCA of Incomplete Data.

Jaakko Luttinen, Alexander Ilin, Juha Karhunen

Neural Process. Lett., 2012

A generalized canonical correlation analysis based method for blind source separation from related data sets.

Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Gated Boltzmann Machine in Texture Modeling.

Tele Hao, Tapani Raiko, Alexander Ilin, Juha Karhunen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets.

Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011

Finding dependent and independent components from two related data sets.

Juha Karhunen, Tele Hao

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

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

2009

A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians.

Mikael Kuusela, Tapani Raiko, Antti Honkela, Juha Karhunen

Proceedings of the International Joint Conference on Neural Networks, 2009

2007

Building Blocks for Variational Bayesian Learning of Latent Variable Models.

Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen

J. Mach. Learn. Res., 2007

Extending ICA for finding jointly dependent components from two related data sets.

Juha Karhunen, Tomas Ukkonen

Neurocomputing, 2007

Blind separation of nonlinear mixtures by variational Bayesian learning.

Antti Honkela, Harri Valpola, Alexander Ilin, Juha Karhunen

Digit. Signal Process., 2007

Principal Component Analysis for Sparse High-Dimensional Data.

Tapani Raiko, Alexander Ilin, Juha Karhunen

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Natural Conjugate Gradient in Variational Inference.

Antti Honkela, Matti Tornio, Tapani Raiko, Juha Karhunen

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Principal Component Analysis for Large Scale Problems with Lots of Missing Values.

Tapani Raiko, Alexander Ilin, Juha Karhunen

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Jammer suppression in DS-CDMA arrays using independent component analysis.

Karthikesh Raju, Tapani Ristaniemi, Juha Karhunen, Erkki Oja

IEEE Trans. Wirel. Commun., 2006

Generalizing Independent Component Analysis for Two Related Data Sets.

Juha Karhunen, Tomas Ukkonen

Proceedings of the International Joint Conference on Neural Networks, 2006

State Inference in Variational Bayesian Nonlinear State-Space Models.

Tapani Raiko, Matti Tornio, Antti Honkela, Juha Karhunen

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005

Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework.

Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen

Proceedings of the UAI '05, 2005

2004

Hierarchical models of variance sources.

Harri Valpola, Markus Harva, Juha Karhunen

Signal Process., 2004

Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures.

Christian Jutten, Juha Karhunen

Int. J. Neural Syst., 2004

2003

Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches.

Antti Honkela, Harri Valpola, Juha Karhunen

Neural Process. Lett., 2003

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

2002

An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models.

Harri Valpola, Juha Karhunen

Neural Comput., 2002

Jammer cancellation in DS-CDMA arrays: pre and post switching of ICA and RAKE.

Tapani Ristaniemi, Karthikesh Raju, Juha Karhunen, Erkki Oja

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Suppression of bit-pulsed jammer signals in DS-CDMA array system using independent component analysis.

Karthikesh Raju, Tapani Ristaniemi, Juha Karhunen, A. Oja

Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

Jammer mitigation in DS-CDMA array system using independent component analysis.

Tapani Ristaniemi, Karthikesh Raju, Juha Karhunen

Proceedings of the IEEE International Conference on Communications, 2002

2001

Independent Component Analysis

Aapo Hyvärinen, Juha Karhunen, Erkki Oja

Wiley, ISBN: 0-471-22131-7, 2001

2000

Local Linear Independent Component Analysis Based on Clustering.

Juha Karhunen, Simona Malaroiu, Mika Ilmoniemi

Int. J. Neural Syst., 2000

CDMA delay estimation using fast ICA algorithm.

Razvan Cristescu, Tapani Ristaniemi, Jyrki Joutsensalo, Juha Karhunen

Proceedings of the 11th IEEE International Symposium on Personal, 2000

Blind separation of convolved mixtures for CDMA systems.

Razvan Cristescu, Tapani Ristaniemi, Jyrki Joutsensalo, Juha Karhunen

Proceedings of the 10th European Signal Processing Conference, 2000

1999

Neural networks for blind separation with unknown number of sources.

Andrzej Cichocki, Juha Karhunen, Wlodzimierz Kasprzak, Ricardo Vigário

Neurocomputing, 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

Locally linear independent component analysis.

Juha Karhunen, Simona Malaroiu

Proceedings of the International Joint Conference Neural Networks, 1999

A comparison of neural ICA algorithms using real-world data.

Xavier Giannakopoulos, Juha Karhunen, Erkki Oja

Proceedings of the International Joint Conference Neural Networks, 1999

1998

Principal component neural networks - Theory and applications - <i>By K.I. Diamantaras and S.Y. Kung</i>. John Wiley, New York, 1996. xii+255 pp. ISBN 0-471-05436-4.

Juha Karhunen

Pattern Anal. Appl., 1998

The nonlinear PCA criterion in blind source separation: Relations with other approaches.

Juha Karhunen, Petteri Pajunen, Erkki Oja

Neurocomputing, 1998

Blind separation from ε-contaminated mixtures.

Visa Koivunen, Petteri Pajunen, Juha Karhunen, Erkki Oja

Proceedings of the 9th European Signal Processing Conference, 1998

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

Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA.

Petteri Pajunen, Juha Karhunen

Int. J. Neural Syst., 1997

On Neural Blind Separation with Noise Suppression and Redundancy Reduction.

Juha Karhunen, Andrzej Cichocki, Wlodzimierz Kasprzak, Petteri Pajunen

Int. J. Neural Syst., 1997

Blind source separation and tracking using nonlinear PCA criterion: a least-squares approach.

Juha Karhunen, Petteri Pajunen

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Blind source separation using least-squares type adaptive algorithms.

Juha Karhunen, Petteri Pajunen

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Applications of neural blind separation to signal and image processing.

Juha Karhunen, Aapo Hyvärinen, Ricardo Vigário, Jarmo Hurri, Erkki Oja

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

A Maximum Likelihood Approach to Nonlinear Blind Source Separation.

Petteri Pajunen, Juha Karhunen

Proceedings of the Artificial Neural Networks, 1997

From Neural Principal Components to Neural Independent Components.

Erkki Oja, Juha Karhunen, Aapo Hyvärinen

Proceedings of the Artificial Neural Networks, 1997

1996

A Unified Neural Bigradient Algorithm for robust PCA and MCA.

Liuyue Wang, Juha Karhunen

Int. J. Neural Syst., 1996

Neural approaches to independent component analysis and source separation.

Juha Karhunen

Proceedings of the 4th European Symposium on Artificial Neural Networks, 1996

1995

A nonlinear extension of the Generalized Hebbian learning.

Jyrki Joutsensalo, Juha Karhunen

Neural Process. Lett., 1995

Generalizations of principal component analysis, optimization problems, and neural networks.

Juha Karhunen, Jyrki Joutsensalo

Neural Networks, 1995

A bigradient optimization approach for robust PCA, MCA, and source separation.

Liuyue Wang, Juha Karhunen, Erkki Oja

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Nonlinear PCA type approaches for source separation and independent component analysis.

Juha Karhunen, Liuyue Wang, Ricardo Vigário

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994

Representation and separation of signals using nonlinear PCA type learning.

Juha Karhunen, Jyrki Joutsensalo

Neural Networks, 1994

Stability of Oja's PCA Subspace Rule.

Juha Karhunen

Neural Comput., 1994

1992

Sinusoidal frequency estimation by signal subspace approximation.

Juha Karhunen, Jyrki Joutsensalo

IEEE Trans. Signal Process., 1992

1991

Robust MUSIC based on direct signal subspace estimation.

Juha Karhunen, Jyrki Joutsensalo

Proceedings of the 1991 International Conference on Acoustics, 1991

Tracking of sinusoidal frequencies by neural network learning algorithms.

Juha Karhunen, Jyrki Joutsensalo

Proceedings of the 1991 International Conference on Acoustics, 1991

1984

Adaptive algorithms for estimating eigenvectors of correlation type matrices.

Juha Karhunen

Proceedings of the IEEE International Conference on Acoustics, 1984