J. Karhunen

Sandeep Kumar Pathak, H. T. Kim, J. K. Blackburn, 2018, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation

Erkki Oja, Juha Karhunen, Xavier Giannakopoulos, 1999, Int. J. Neural Syst..

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

Juha Karhunen, Petteri Pajunen, J. Karhunen, 1997, Int. J. Neural Syst..

Stability of Oja's PCA Subspace Rule

Juha Karhunen, J. Karhunen, 1994, Neural Computation.

Finding dependent and independent components from related data sets: A generalized canonical correlation analysis based method

Juha Karhunen, Jarkko Ylipaavalniemi, Tele Hao, 2013, Neurocomputing.

Finding dependent and independent components from two related data sets

Juha Karhunen, Tele Hao, J. Karhunen, 2011, The 2011 International Joint Conference on Neural Networks.

Final Technical Report on BSS Models and Methods for Non-Independent BSS

Juha Karhunen, Harri Valpola, F. Meinecke, 2003 .

CDMA delay estimation using fast ICA algorithm

Tapani Ristaniemi, Juha Karhunen, Jyrki Joutsensalo, 2000, 11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525).

A comparison of neural ICA algorithms using real-world data

Erkki Oja, Juha Karhunen, Xavier Giannakopoulos, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Locally linear independent component analysis

Juha Karhunen, Simona Malaroiu, J. Karhunen, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Local Independent Component Analysis Using Clustering

Juha Karhunen, S. Malaroiu, J. Karhunen, 1999 .

Blind separation from ε-contaminated mixtures

Erkki Oja, Juha Karhunen, Visa Koivunen, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

From Neural Principal Components to Neural Independent Components

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 1997, ICANN.

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

P. Pajunen, J. Karhunen, J. Karhunen, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Image Feature Extraction Using Independent Component Analysis

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 1996 .

Chapter 7 – Unsupervised deep learning: A short review

Juha Karhunen, Tapani Raiko, Kyunghyun Cho, 2015 .

Stochastic Discriminant Analysis

Juha Karhunen, Francesco Corona, Mika Juuti, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Learning of robust principal component subspace

Juha Karhunen, Jyrki Joutsensalo, J. Karhunen, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Nonlinear multilayer principal component type subspace learning algorithms

J. Karhunen, J. Joutsensalo, J. Karhunen, 1993, Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE-SP Workshop.

Tracking of sinusoidal frequencies by neural network learning algorithms

Juha Karhunen, J. Joutsensalo, J. Karhunen, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Sinusoidal frequency estimation by signal subspace approximation

Juha Karhunen, Jyrki Joutsensalo, J. Karhunen, 1992, IEEE Trans. Signal Process..

Semi-Blind Interference Suppression on Coherent Multipath Environments

Tapani Ristaniemi, Juha Karhunen, Karthikesh Raju, 2004 .

Inter-Cell Interference Cancellation in CDMA Array Systems by Independent Component Analysis

Erkki Oja, Tapani Ristaniemi, Juha Karhunen, 2003 .

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

Erkki Oja, Tapani Ristaniemi, Juha Karhunen, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

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

Tapani Ristaniemi, Juha Karhunen, Karthikesh Raju, 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

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

Tapani Ristaniemi, Juha Karhunen, Karthikesh Raju, 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).

Air quality forecasting using neural networks

Juha Karhunen, Chen Zhao, Mark van Heeswijk, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

A Complexity Minimization Approach for Estimating Fading Gaussian Channel in CDMA Communications

Erkki Oja, Juha Karhunen, Jyrki Joutsensalo, 2000 .

Arbitrary Category Classification of Websites Based on Image Content

Juha Karhunen, Amaury Lendasse, Kaj-Mikael Björk, 2015, IEEE Computational Intelligence Magazine.

A Unified Neural Bigradient Algorithm for robust PCA and MCA

Juha Karhunen, Liuyue Wang, J. Karhunen, 1996, Int. J. Neural Syst..

Building Blocks for Variational Bayesian Learning of Latent Variable Models

Juha Karhunen, Tapani Raiko, Markus Harva, 2007, J. Mach. Learn. Res..

Unsupervised deep learning

Juha Karhunen, Tapani Raiko, Kyunghyun Cho, 2015 .

Development of laser-induced breakdown spectroscopy for analyzing deposited layers in ITER

Jari Likonen, J. Karhunen, C. P. Lungu, 2014 .

Development of laser-based techniques for in situ characterization of the first wall in ITER and future fusion devices

Salvatore Almaviva, Marek J. Rubel, B. Schweer, 2013 .

Demonstration of improvement in 2D tomographic reconstructions of filtered cameras in the JET ITER-like wall divertor due to corrected interpretation of reflections

J. Karhunen, J. Contributors, M. Groth, 2019, Journal of Instrumentation.

Effect of reflections on 2D tomographic reconstructions of filtered cameras and on interpreting spectroscopic measurements in the JET ITER-like wall divertor

J. Karhunen, M. Groth, G. Matthews, 2019, Review of Scientific Instruments.

Bidirectional Recurrent Neural Networks as Generative Models

Juha Karhunen, Tapani Raiko, Mikko Honkala, 2015, NIPS.

METHOD FOR DETECTING AGING RELATED FAILURES OF PROCESS SENSORS VIA NOISE SIGNAL MEASUREMENT

Miki Sirola, Topi Toosi, Jarkko Laukkanen, 2019, International Journal of Computing.

Micro-NRA and micro-3HIXE with 3He microbeam on samples exposed in ASDEX Upgrade and Pilot-PSI machines

J. Karhunen, P. Pelicon, P. Vavpetič, 2017 .

On Neural Blind Separation with Noise Suppression and Redundancy Reduction

Juha Karhunen, Andrzej Cichocki, Wlodzimierz Kasprzak, 1997, Int. J. Neural Syst..

Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes

Juha Karhunen, Amaury Lendasse, Emil Eirola, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Learning of sinusoidal frequencies by nonlinear constrained Hebbian algorithms

J. Karhunen, J. Joutsensalo, J. Karhunen, 1992, Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop.

Adaptive frequency estimation by MUSIC (Multiple Signal Classification) method

Juha Karhunen, Esko Nieminen, Jyrki Joutsensalo, 1989 .

Test of electrical resistivity and current diffusion modelling on MAST and JET

Sandeep Kumar Pathak, H. T. Kim, J. K. Blackburn, 2017 .

Laser-based diagnostics applications for plasma-surface interaction studies

J. Karhunen, R. Scannell, M. Laan, 2013 .

Divertor currents optimization procedure for JET-ILW high flux expansion experiments

Sandeep Kumar Pathak, H. T. Kim, J. K. Blackburn, 2018 .

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

Juha Karhunen, Antti Honkela, Tapani Raiko, 2009, 2009 International Joint Conference on Neural Networks.

Bayesian learning of latent variable models

Juha Karhunen, Antti Honkela, Tapani Raiko, 2008 .

Chapter 2 Bayesian learning of latent variable models

J. Karhunen, T. Raiko, M. Tornio, 2008 .

Measurement of dust conversion factor for the JET carbon divertor phases

J. Karhunen, R. Pitts, J. Likonen, 2015 .

Thermal desorption spectrometry of beryllium plasma facing tiles exposed in the JET tokamak

Sandeep Kumar Pathak, H. T. Kim, J. K. Blackburn, 2018, Fusion Engineering and Design.

Global scaling of the heat transport in fusion plasmas

H. T. Kim, B. B. Carvalho, P. A. Simmons, 2019, Physical Review Research.

Monitoring of tritium and impurities in the first wall of fusion devices using a LIBS based diagnostic

J. Karhunen, S. Brezinsek, I. Jõgi, 2021, Nuclear Fusion.

SOLPS 5.0 simulations of the high-field side divertor detachment of L-mode plasmas in ASDEX upgrade with convection-dominated radial SOL transport

J. Karhunen, D. Coster, T. Pütterich, 2019, Nuclear Materials and Energy.

Computer Vision – ACCV 2018

Juha Karhunen, Tapani Raiko, Tinghuai Wang, 2018, Lecture Notes in Computer Science.

A Character-Word Compositional Neural Language Model for Finnish pdf

Juha Karhunen, Tapani Raiko, Hannes Heikinheimo, 2016, ArXiv.

Gated Boltzmann Machine in Texture Modeling

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2012, ICANN.

Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series pdf

Juha Karhunen, Tapani Raiko, Mikko Honkala, 2015, ArXiv.

Long-term erosion of plasma-facing materials with different surface roughness in ASDEX Upgrade

J. Karhunen, R. Neu, V. Rohde, 2014 .

Jammer suppression in DS-CDMA arrays using independent component analysis

Erkki Oja, Tapani Ristaniemi, Juha Karhunen, 2006, IEEE Transactions on Wireless Communications.

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

Juha Karhunen, Tapani Raiko, Tinghuai Wang, 2016, ACCV.

Blind source separation using least-squares type adaptive algorithms

Juha Karhunen, Petteri Pajunen, J. Karhunen, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

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

Juha Karhunen, Amaury Lendasse, Emil Eirola, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A pragmatic android malware detection procedure

Juha Karhunen, Emil Eirola, Luiza Sayfullina, 2017, Comput. Secur..

Stochastic discriminant analysis for linear supervised dimension reduction

Juha Karhunen, Francesco Corona, Mika Juuti, 2018, Neurocomputing.

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

Juha Karhunen, Antti Honkela, Tapani Raiko, 2005, UAI.

Bayesian Robust PCA of Incomplete Data

Juha Karhunen, Alexander Ilin, Jaakko Luttinen, 2012, Neural Processing Letters.

Bayesian Robust PCA of Incomplete Data

Juha Karhunen, Alexander Ilin, Jaakko Luttinen, 2009, Neural Processing Letters.

How to Pretrain Deep Boltzmann Machines in Two Stages

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2015 .

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

Juha Karhunen, Tomas Ukkonen, J. Karhunen, 2007, Neurocomputing.

Generalizing Independent Component Analysis for Two Related Data Sets

Juha Karhunen, Tomas Ukkonen, J. Karhunen, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Independent Component Analysis

E. Oja, J. Karhunen, Aapo Hyvärinen, 2004, IEEE Transactions on Neural Networks.

Nonlinear Blind Source Separation by Self-Organizing Maps

Petteri Pajunen, J. Karhunen, P. Pajunen, 1996 .

NIPS 2012 Workshop on Deep Learning and Unsupervised Feature Learning, Lake Tahoe, Usa, December 8, 2012

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2012 .

Blind separation of convolved mixtures for CDMA systems

Tapani Ristaniemi, Juha Karhunen, Jyrki Joutsensalo, 2000, 2000 10th European Signal Processing Conference.

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

Jorma Laaksonen, Juha Karhunen, Satoru Ishikawa, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

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

Juha Karhunen, Jarkko Ylipaavalniemi, Tele Hao, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Applications of Independent Component Analysis

Erkki Oja, E. Oja, J. Karhunen, 2004, ICONIP.

Self-Organizing Maps for Independent Component Analysis

Juha Karhunen, P. Pajunen, J. Karhunen, 1997 .

Hierarchic Nonlinear PCA Algorithms for Neural Blind Source Separation

P. Pajunen, J. Karhunen, J. Karhunen, 1996 .

Independent Component Analysis

James V. Stone, E. Oja, J. Karhunen, 2015, Encyclopedia of Biometrics.

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

Juha Karhunen, Jarkko Ylipaavalniemi, Tele Hao, 2012, LVA/ICA.

Tritium distributions on W-coated divertor tiles used in the third JET ITER-like wall campaign

Sandeep Kumar Pathak, Rohde, Bobkov, 2019, Nuclear Materials and Energy.