Juha Karhunen

Publication Activity (10 Years)

Years Active: 1984-2019
Publications (10 Years): 11

Top Topics

Recurrent Neural Networks

Discriminant Analysis

Regression Problems

Top Venues

Publications

Topi Toosi, Miki Sirola, Jarkko Laukkanen, Mark van Heeswijk, Juha Karhunen
Method for Detecting aging Related Failures of Process Sensors via noise signal Measurement. Int. J. Comput. 18 (2019)
Mika Juuti, Francesco Corona, Juha Karhunen
Stochastic discriminant analysis for linear supervised dimension reduction. Neurocomputing 291 (2018)
Paolo Palumbo, Luiza Sayfullina, Dmitriy Komashinskiy, Emil Eirola, Juha Karhunen
A pragmatic android malware detection procedure. Comput. Secur. 70 (2017)
Satoru Ishikawa, Jorma Laaksonen, Juha Karhunen
Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map. IJCNN (2017)
Topi Toosi, Miki Sirola, Jarkko Laukkanen, Mark van Heeswijk, Juha Karhunen
Detecting aging of process sensors with noise signal measurement. IDAACS (2017)
Matti Lankinen, Hannes Heikinheimo, Pyry Takala, Tapani Raiko, Juha Karhunen
A Character-Word Compositional Neural Language Model for Finnish. CoRR (2016)
Alexander Grigorievskiy, Juha Karhunen
Gaussian Process kernels for popular state-space time series models. IJCNN (2016)
Huiling Wang, Tapani Raiko, Lasse Lensu, Tinghuai Wang, Juha Karhunen
Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation. ACCV (1) (2016)
Chen Zhao, Mark van Heeswijk, Juha Karhunen
Air quality forecasting using neural networks. SSCI (2016)
Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Juha Karhunen
Android Malware Detection: Building Useful Representations. ICMLA (2016)
Huiling Wang, Tapani Raiko, Lasse Lensu, Tinghuai Wang, Juha Karhunen
Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation. CoRR (2016)
Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Yoan Miché, Amaury Lendasse, Juha Karhunen
Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes. TrustCom/BigDataSE/ISPA (1) (2015)
Anton Akusok, Yoan Miche, Juha Karhunen, Kaj-Mikael Björk, Rui Nian, Amaury Lendasse
Arbitrary Category Classification of Websites Based on Image Content. IEEE Comput. Intell. Mag. 10 (2) (2015)
Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha Karhunen
Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series. CoRR (2015)
Mika Juuti, Francesco Corona, Juha Karhunen
Stochastic Discriminant Analysis. IJCNN (2015)
Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha Karhunen
Bidirectional Recurrent Neural Networks as Generative Models. NIPS (2015)
Emil Eirola, Amaury Lendasse, Juha Karhunen
Variable selection for regression problems using Gaussian mixture models to estimate mutual information. IJCNN (2014)
KyungHyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen
A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines. ICANN (2013)
Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi
Finding dependent and independent components from related data sets: A generalized canonical correlation analysis based method. Neurocomputing 113 (2013)
Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi
A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets. LVA/ICA (2012)
Tele Hao, Tapani Raiko, Alexander Ilin, Juha Karhunen
Gated Boltzmann Machine in Texture Modeling. ICANN (2) (2012)
Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework CoRR (2012)
Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi
A generalized canonical correlation analysis based method for blind source separation from related data sets. IJCNN (2012)
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
Bayesian Robust PCA of Incomplete Data. Neural Process. Lett. 36 (2) (2012)
Juha Karhunen, Tele Hao
Finding dependent and independent components from two related data sets. IJCNN (2011)
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti Tornio, Juha Karhunen
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes. J. Mach. Learn. Res. 11 (2010)
Mikael Kuusela, Tapani Raiko, Antti Honkela, Juha Karhunen
A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians. IJCNN (2009)
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
Bayesian Robust PCA for Incomplete Data. ICA (2009)
Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen
Building Blocks for Variational Bayesian Learning of Latent Variable Models. J. Mach. Learn. Res. 8 (2007)
Tapani Raiko, Alexander Ilin, Juha Karhunen
Principal Component Analysis for Large Scale Problems with Lots of Missing Values. ECML (2007)
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Karhunen
Natural Conjugate Gradient in Variational Inference. ICONIP (2) (2007)
Juha Karhunen, Tomas Ukkonen
Extending ICA for finding jointly dependent components from two related data sets. Neurocomputing 70 (16-18) (2007)
Tapani Raiko, Alexander Ilin, Juha Karhunen
Principal Component Analysis for Sparse High-Dimensional Data. ICONIP (1) (2007)
Antti Honkela, Harri Valpola, Alexander Ilin, Juha Karhunen
Blind separation of nonlinear mixtures by variational Bayesian learning. Digit. Signal Process. 17 (5) (2007)
Karthikesh Raju, Tapani Ristaniemi, Juha Karhunen, Erkki Oja
Jammer suppression in DS-CDMA arrays using independent component analysis. IEEE Trans. Wirel. Commun. 5 (1) (2006)
Tapani Raiko, Matti Tornio, Antti Honkela, Juha Karhunen
State Inference in Variational Bayesian Nonlinear State-Space Models. ICA (2006)
Juha Karhunen, Tomas Ukkonen
Generalizing Independent Component Analysis for Two Related Data Sets. IJCNN (2006)
Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. UAI (2005)
Harri Valpola, Markus Harva, Juha Karhunen
Hierarchical models of variance sources. Signal Process. 84 (2) (2004)
Christian Jutten, Juha Karhunen
Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures. Int. J. Neural Syst. 14 (5) (2004)
Antti Honkela, Harri Valpola, Juha Karhunen
Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches. Neural Process. Lett. 17 (2) (2003)
Harri Valpola, Erkki Oja, Alexander Ilin, Antti Honkela, Juha Karhunen
Nonlinear Blind Source Separation by Variational Bayesian Learning. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2003)
Tapani Ristaniemi, Karthikesh Raju, Juha Karhunen, Erkki Oja
Jammer cancellation in DS-CDMA arrays: pre and post switching of ICA and RAKE. NNSP (2002)
Tapani Ristaniemi, Karthikesh Raju, Juha Karhunen
Jammer mitigation in DS-CDMA array system using independent component analysis. ICC (2002)
Harri Valpola, Juha Karhunen
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models. Neural Comput. 14 (11) (2002)
Karthikesh 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)
Juha Karhunen, Simona Malaroiu, Mika Ilmoniemi
Local Linear Independent Component Analysis Based on Clustering. Int. J. Neural Syst. 10 (6) (2000)
Razvan Cristescu, Tapani Ristaniemi, Jyrki Joutsensalo, Juha Karhunen
Blind separation of convolved mixtures for CDMA systems. EUSIPCO (2000)
Razvan Cristescu, Tapani Ristaniemi, Jyrki Joutsensalo, Juha Karhunen
CDMA delay estimation using fast ICA algorithm. PIMRC (2000)
Juha Karhunen, Simona Malaroiu
Locally linear independent component analysis. IJCNN (1999)
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) (1999)
Xavier Giannakopoulos, Juha Karhunen, Erkki Oja
A comparison of neural ICA algorithms using real-world data. IJCNN (1999)
Andrzej Cichocki, Juha Karhunen, Wlodzimierz Kasprzak, Ricardo Vigário
Neural networks for blind separation with unknown number of sources. Neurocomputing 24 (1-3) (1999)
Visa Koivunen, Petteri Pajunen, Juha Karhunen, Erkki Oja
Blind separation from ε-contaminated mixtures. EUSIPCO (1998)
Juha Karhunen, Petteri Pajunen, Erkki Oja
The nonlinear PCA criterion in blind source separation: Relations with other approaches. Neurocomputing 22 (1-3) (1998)
Juha Karhunen
. John Wiley, New York, 1996. xii+255 pp. ISBN 0-471-05436-4. Pattern Anal. Appl. 1 (1) (1998)
Juha Karhunen, Petteri Pajunen
Blind source separation using least-squares type adaptive algorithms. ICASSP (1997)
Erkki Oja, Juha Karhunen, Aapo Hyvärinen
From Neural Principal Components to Neural Independent Components. ICANN (1997)
Juha Karhunen, Erkki Oja, Liuyue Wang, Ricardo Vigário, Jyrki Joutsensalo
A class of neural networks for independent component analysis. IEEE Trans. Neural Networks 8 (3) (1997)
Petteri Pajunen, Juha Karhunen
Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA. Int. J. Neural Syst. 8 (5-6) (1997)
Juha Karhunen, Petteri Pajunen
Blind source separation and tracking using nonlinear PCA criterion: a least-squares approach. ICNN (1997)
Petteri Pajunen, Juha Karhunen
A Maximum Likelihood Approach to Nonlinear Blind Source Separation. ICANN (1997)
Juha Karhunen, Aapo Hyvärinen, Ricardo Vigário, Jarmo Hurri, Erkki Oja
Applications of neural blind separation to signal and image processing. ICASSP (1997)
Juha Karhunen, Andrzej Cichocki, Wlodzimierz Kasprzak, Petteri Pajunen
On Neural Blind Separation with Noise Suppression and Redundancy Reduction. Int. J. Neural Syst. 8 (2) (1997)
Liuyue Wang, Juha Karhunen
A Unified Neural Bigradient Algorithm for robust PCA and MCA. Int. J. Neural Syst. 7 (1) (1996)
Juha Karhunen
Neural approaches to independent component analysis and source separation. ESANN (1996)
Juha Karhunen, Jyrki Joutsensalo
Generalizations of principal component analysis, optimization problems, and neural networks. Neural Networks 8 (4) (1995)
Liuyue Wang, Juha Karhunen, Erkki Oja
A bigradient optimization approach for robust PCA, MCA, and source separation. ICNN (1995)
Juha Karhunen, Liuyue Wang, Ricardo Vigário
Nonlinear PCA type approaches for source separation and independent component analysis. ICNN (1995)
Jyrki Joutsensalo, Juha Karhunen
A nonlinear extension of the Generalized Hebbian learning. Neural Process. Lett. 2 (1) (1995)
Juha Karhunen
Stability of Oja's PCA Subspace Rule. Neural Comput. 6 (4) (1994)
Juha Karhunen, Jyrki Joutsensalo
Representation and separation of signals using nonlinear PCA type learning. Neural Networks 7 (1) (1994)
Juha Karhunen, Jyrki Joutsensalo
Sinusoidal frequency estimation by signal subspace approximation. IEEE Trans. Signal Process. 40 (12) (1992)
Juha Karhunen, Jyrki Joutsensalo
Tracking of sinusoidal frequencies by neural network learning algorithms. ICASSP (1991)
Juha Karhunen, Jyrki Joutsensalo
Robust MUSIC based on direct signal subspace estimation. ICASSP (1991)
Juha Karhunen
Adaptive algorithms for estimating eigenvectors of correlation type matrices. ICASSP (1984)