Juha Karhunen
Professor at Aalto University School of Business
Schools
- Aalto University School of Business
Links
Biography
Aalto University School of Business
Peer-reviewed scientific articles
Journal article-refereed, Original researchA pragmatic android malware detection procedure
Palumbo, Paolo; Sayfullina, Luiza; Komashinskiy, Dmitriy; Eirola, Emil; Karhunen, Juha2017 in COMPUTERS AND SECURITY (ELSEVIER ADVANCED TECHNOLOGY)ISSN: 0167-4048Arbitrary Category Classification of Websites Based on Image Content
Akusok, Anton; Miche, Yoan; Karhunen, Juha; Björk, Kaj-Mikael; Nian, Rui; Lendasse, Amaury2015 in IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (Institute of Electrical and Electronics Engineers Inc.)ISSN: 1556-603XFinding Dependent and Independent Components from Related Data Sets: A Generalized Canonical Correlation Based Method
Karhunen, Juha; Hao, Tele; Ylipaavalniemi, Jarkko2013 in NEUROCOMPUTING (Elsevier Science B.V.)ISSN: 0925-2312Development of a Neural Network Model for Cloud Detection by Means of NASA-Aura OMI VIS Radiance Measurements
Saponaro, Giulia; Kolmonen, Pekka; Karhunen, Juha; Tamminen, Johanna; de Leeuw, Gerrit2013 in ATMOSPHERIC MEASUREMENT TECHNIQUES (Copernicus Gesellschaft mbH)ISSN: 1867-1381A neural network algorithm for cloud fraction estimation using NASA-Aura OMI VIS radiance measurements
Saponaro, Giulia; Kolmonen, Pekka; Karhunen, J.; Tamminen, J.; de Leeuw, G.2013 in ATMOSPHERIC MEASUREMENT TECHNIQUES (Copernicus Gesellschaft mbH)ISSN: 1867-1381Bayesian Robust PCA of Incomplete Data
Luttinen, Jaakko; Ilin, Alexander; Karhunen, Juha2012 in NEURAL PROCESSING LETTERS (Springer Netherlands)ISSN: 1370-4621Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Honkela, Antti; Raiko, Tapani; Kuusela, Mikael; Tornio, Matti; Karhunen, Juha2010 in JOURNAL OF MACHINE LEARNING RESEARCH (MICROTOME PUBL)ISSN: 1532-4435Blind Separation of Nonlinear Mixtures by Variational Bayesian Learning
Honkela, Antti; Valpola, Harri; Ilin, Alexander; Karhunen, Juha2007 in DIGITAL SIGNAL PROCESSING (Elsevier Inc.)Extending ICA for Finding Jointly Dependent Components from Two Related Data Sets
Karhunen, Juha; Ukkonen, Tomas2007 in NEUROCOMPUTING (Elsevier Science B.V.)Building Blocks for Variational Bayesian Learning of Latent Variable Models
Raiko, Tapani; Valpola, Harri; Harva, Markus; Karhunen, Juha2007 in JOURNAL OF MACHINE LEARNING RESEARCH (MICROTOME PUBL)Jammer suppression in DS-CDMA arrays using independent component analysis
Raju, Karthikesh; Ristaniemi, Tapani; Karhunen, Juha; Oja, Erkki2006 in IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC)ISSN: 1536-1276Advances in Blind Source Separation (BSS) and Independent Component Analysis (ICA) for Nonlinear Mixtures
Jutten, C.; Karhunen, J.2004 in INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (WORLD SCIENTIFIC PUBL CO PTE LTD)Hierarchical Models of Variance Sources
Valpola, Harri; Harva, Markus; Karhunen, Juha2004 in SIGNAL PROCESSING (Elsevier)ISSN: 0165-1684Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches
Honkela, Antti; Valpola, H.; Karhunen, J.2003 in NEURAL PROCESSING LETTERS (Springer Netherlands)Nonlinear Blind Source Separation by Variational Bayesian Learning
Valpola, Harri; Oja, E.; Ilin, A.; Honkela, A.; Karhunen, J.2003 in IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Springer Netherlands)An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
Valpola, Harri; Karhunen, J.2002 in NEURAL COMPUTATION (MIT PRESS)Local Linear Independent Component Analysis Based on Clustering
Karhunen, Juha; Malaroiu, S.; Ilmoniemi, M.2000 in INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (WORLD SCIENTIFIC PUBL CO PTE LTD)Neural Networks for Blind Separation with Unknown Number of Sources
Cichocki, A.; Karhunen, J.; Kasprzak, W.; Vigário, R.1999 in NEUROCOMPUTING (Elsevier Science B.V.)An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation
Giannakopoulos, X.; Karhunen, J.; Oja, E.1999 in INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (WORLD SCIENTIFIC PUBL CO PTE LTD)The Nonlinear PCA Criterion in Blind Source Separation: Relations with Other Approaches
Karhunen, J.; Pajunen, P.; Oja, E.1998 in NEUROCOMPUTING (Elsevier Science B.V.)Book Review.Principal Component Neural Networks - Theory and Applications by K.I.Diamantaras and S.Y.Kung (New York, John Wiley 1996)
Karhunen, J.1998 in PATTERN ANALYSIS AND APPLICATIONS (Springer London)On Neural Blind Separation with Noise Suppression and Redundancy Reduction
Karhunen, J.; Cichocki, A.; Kasprzak, W.; Pajunen, P.1997 in INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (WORLD SCIENTIFIC PUBL CO PTE LTD)A Class of Neural Networks for Independent Component Analysis
Karhunen, J.; Oja, E.; Wang, L.; Vigário, R.; Joutsensalo, J.1997 in IEEE TRANSACTIONS ON NEURAL NETWORKS (IEEE Computational Intelligence Society)Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA
Pajunen, Petteri; Karhunen, J.1997 in INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (WORLD SCIENTIFIC PUBL CO PTE LTD)Cul-de-sac Hypernasality Test with Pattern Recognition of LPC Indices
Haapanen, M.; Liu, L.; Hiltunen, T.; Leinonen, L.; Karhunen, J.1996 in FOLIA PHONIATRICA ET LOGOPAEDICA (S. Karger AG)A Unified Neural Bigradient Algorithm for Robust PCA and MCA
Wang, L.; Karhunen, J.1996 in INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (WORLD SCIENTIFIC PUBL CO PTE LTD)A Nonlinear Extension of the Generalized Hebbian Learning
Joutsensalo, J.; Karhunen, J.1995 in NEURAL PROCESSING LETTERS (Springer Netherlands)Generalizations of Principal Component Analysis, Optimization Problems, and Neural Networks
Karhunen, J.; Joutsensalo, J.1995 in NEURAL NETWORKS (PERGAMON-ELSEVIER SCIENCE LTD)Stability of Oja's Subspace Rule
Karhunen, J.1994 in NEURAL COMPUTATION (MIT PRESS)Representation and Separation of Signals Using Nonlinear PCA Type Learning
Karhunen, J.; Joutsensalo, J.1994 in NEURAL NETWORKS (PERGAMON-ELSEVIER SCIENCE LTD)Review article, Literature review, Systematic reviewRobust PCA Methods for Complete and Missing Data
Karhunen, Juha2011 in NEURAL NETWORK WORLD (Institute of Computer Science)ISSN: 1210-0552Book section, Chapters in research booksHow to Pretrain Deep Boltzmann Machines in Two Stages
Cho, KyungHyun; Raiko, Tapani; Ilin, Alexander; Karhunen, Juha2015 ISBN: 978-3-319-09903-3Nonlinear Mixtures (Chapter 14)
Jutten, Christian; Babaie-Zadeh, Massoud; Karhunen, Juha2010 Nonlinear Independent Component Analysis
Karhunen, Juha2001 Neural Independent Component Analysis - Approaches and Applications
Oja, E.; Karhunen, J.; Hyvärinen, A.; Vigário, R.; Hurri, J.1998 Conference proceedingsImage pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map
Ishikawa, Satoru; Laaksonen, Jorma; Karhunen, Juha2017 ISBN: 9781509061815Android Malfare Detection Building Useful Representations
Sayfullina, Luiza; Eirola, Emil; Komashinskiy, Dmitri; Palumbo, Paolo; Karhunen, Juha2017 ISBN: 978-1-5090-6166-2Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
Wang, Huiling ; Raiko, Tapani; Lensu, Lasse; Wang, Tinghuai; Karhunen, Juha2017 in Lecture Notes in Computer Science (SPRINGER)ISBN: 9783319541815ISSN: 0302-9743Air Quality Forecasting Using Neural Networks
Zhao, Cheng; van Heeswijk, Mark; Karhunen, Juha2017 ISBN: 9781509042401Gaussian Process Kernels for Popular State-Space Time Series Models
Grigorevskiy, Alexander; Karhunen, Juha2016 in International joint conference on neural networks (IEEE)ISBN: 978-1-5090-0619-9ISSN: 2161-4407Bidirectional recurrent neural networks as generative models
Berglund, Mathias; Raiko, Tapani; Honkala, Mikko; Kärkkäinen, Leo; Vetek, Akos; Karhunen, Juha2015 ISSN: 1049-5258Stochastic Discriminant Analysis
Juuti, Mika; Corona, Francesco; Karhunen, Juha2015 ISSN: 2161-4407Efficient Detection of Zero-Day Android Malware Using Normalized Bernoulli Naive Bayes
Sayfullina, L.; Eirola, E.; Komashinsky, D.; Palumbo, P.; Miche, Y.; Lendasse, A.; Karhunen, J.2015 ISBN: 978-1-4673-7952-6ISSN: 2324-9013Variable Selection for Regression Problems Using Gaussian Mixture Models to Estimate Mutual Information
Eirola, Emil; Lendasse, Amaury; Karhunen, Juha2014 ISBN: 978-1-4799-6627-1A Two-stage Pretraining Algorithm for Deep Boltzmann Machines
Cho, KyungHyun; Raiko, Tapani; Ilin, Alexander; Karhunen, Juha2013 ISBN: 978-3-642-40727-7A Two-stage Pretraining Algorithm for Deep Boltzmann Machines
Cho, KyungHyun; Raiko, Tapani; Ilin, Alexander; Karhunen, Juha2012 A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets
Karhunen, Juha; Hao, Tele; Ylipaavalniemi, Jarkko2012 ISBN: 978-3-642-28550-9A generalized canonical correlation analysis based method for blind source separation from related data sets
Karhunen, Juha; Hao, Tele; Ylipaavalniemi, Jarkko2012 ISBN: 978-1-5673-1488-6Finding dependent and independent components from two related data sets
Karhunen, J.; Hao, T.2011 ISBN: 978-1-4577-1086-5A Gradient-Based Algorithm Competitive with Variational Bayesian EM for Mixture of Gaussians
Kuusela, Mikael; Raiko, Tapani; Honkela, Antti; Karhunen, Juha2009 Bayesian Robust PCA for Incomplete Data
Luttinen, Jaakko; Ilin, Alexander; Karhunen, Juha2009 Natural Conjugate Gradient in Variational Inference
Honkela, Antti; Tornio, Matti; Raiko, Tapani; Karhunen, Juha2008 Variational Inference and Learning for Continuous-Time Nonlinear State-Space Models
Honkela, Antti; Harva, Markus; Raiko, Tapani; Karhunen, Juha2008 Principal Component Analysis for Sparse High-Dimensional Data
Raiko, Tapani; Ilin, Alexander; Karhunen, Juha2008 Macadamia: Master's Programme in Machine Learning and Data Mining
Raiko, Tapani; Puolamäki, Kai; Karhunen, Juha; Hollmén, Jaakko; Honkela, Antti; Kaski, Samuel; Mannila, Heikki; Oja, Erkki; Simula, Olli2008 Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Raiko, Tapani; Ilin, Alexander; Karhunen, Juha2007 Time Series Prediction with Variational Bayesian Nonlinear State-Space Models
Tornio, Matti; Honkela, Antti; Karhunen, Juha2007 Generalizing Independent Component Analysis for Two Related Data Sets
Karhunen, Juha; Ukkonen, Tomas2006 ISBN: 0-7803-9489-5State Inference in Variational Bayesian Nonlinear State-Space Models
Raiko, Tapani; Tornio, Matti; Honkela, Antti; Karhunen, Juha2006 ISBN: 3-540-32630-8ISSN: 0302-9743Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework
Harva, M.; Raiko, T.; Honkela, A.; Valpola, H.; Karhunen, J.2005 Semi-Blind Interference Suppression on Coherent Multipath Environments
Raju, K.; Ristaniemi, T.; Karhunen, J.2004 Advances in Nonlinear Blind Source Separation
Jutten, C.; Karhunen, Juha2003 Missing Values in Hierarchical Nonlinear Factor Analysis
Raiko, Tapani; Valpola, H.; Östman, T.; Karhunen, J.2003 Inter-Cell Interference Cancellation in CDMA Array Systems by Independent Component Analysis
Ristaniemi, T.; Raju, Karthikesh; Karhunen, J.; Oja, E.2003 Nonlinear Independent Factor Analysis by Hierarchical Models
Valpola, Harri; Östman, T.; Karhunen, J.2003 Hierarchical Models of Variance Sources
Valpola, Harri; Harva, M.; Karhunen, J.2003 Bayesian Learning of Logical Hidden Markov Models
Raiko, Tapani; Kersting, K.; Karhunen, J.; De Raedt, L.2002 Suppression of Bit-Pulsed Jammer Signals in a DS-CDMA Array Systems Using Independent Component Analysis
Raju, Karthikesh; Ristaniemi, T.; Karhunen, J.; Oja, E.2002 Jammer Mitigation in DS-CDMA Array Systems Using Independent Component Analysis
Ristaniemi, T.; Raju, Karthikesh; Karhunen, J.2002 Jammer Cancellation in DS-CDMA Array Systems: Pre and Post Switching of ICA and RAKE
Ristaniemi, T.; Raju, Karthikesh; Karhunen, J.; Oja, E.2002 An Ensemble Learning Approach to Nonlinear Dynamic Blind Source Separation Using State-Space Models
Valpola, Harri; Honkela, A.; Karhunen, J.2002 Constructing Graphical Models for Bayesian Ensemble Learning from Simple Building Blocks
Valpola, Harri; Raiko, T.; Karhunen, J.2002 An Ensemble Learning Approach to Nonlinear Independent Component Analysis
Honkela, Antti; Karhunen, J.2001 Nonlinear Static and Dynamic Blind Source Separation Using Ensemble Learning
Valpola, Harri; Honkela, A.; Karhunen, J.2001 Building Blocks for Hierarchical Latent Variable Models
Valpola, Harri; Raiko, T.; Karhunen, J.2001 Blind Separation Methods for CDMA Communications
Cristescu, Razvan; Karhunen, J.; Joutsensalo, J.; Ristaniemi, T.2000 CDMA Delay Estimation Using Fast ICA Algorithm
Cristescu, Razvan; Ristaniemi, T.; Joutsensalo, J.; Karhunen, J.2000 Blind Separation of Convolved Mixtures for CDMA Systems
Cristescu, Razvan; Ristaniemi, T.; Joutsensalo, J.; Karhunen, J.2000 Nonlinear Blind Source Separation Using Ensemble Learning
Lappalainen, H.; Giannakopoulos, X.; Karhunen, J.1999 New Results on Nonlinear PCA Criterion in Blind Source Separation
Karhunen, J.; Pajunen, P.1998 Extending Neural ICA and Blind Source Separation for Nonlinear Data Models
Karhunen, J.; Pajunen, P.; Hyvärinen, A.1998 Blind Separation from e-Contaminated Mixtures
Koivunen, V.; Pajunen, P.; Karhunen, J.; Oja, E.1998 Information Theoretic and Nonlinear PCA Approaches to Independent Component Analysis
Oja, E.; Karhunen, J.1998 Subspace Algorithms for Synchronization and Tracking in CDMA
Joutsensalo, J.; Lilleberg, J.; Hottinen, A.; Karhunen, J.1997 Applications of Neural Blind Separation to Signal and Image Processing
Karhunen, J.; Hyvärinen, A.; Vigário, R.; Hurri, J.; Oja, E.1997 Blind Source Separation and Tracking Using Nonlinear PCA Criterion: A Least-Squares Approach
Karhunen, J.; Pajunen, P.1997 From Neural Principal Components to Neural Independent Components
Oja, E.; Karhunen, J.; Hyvärinen, A.1997 A Maximum Likelihood Approach to Nonlinear Blind Source Separation
Pajunen, P.; Karhunen, J.1997 Hierarchic Method for CDMA Synchronization
Joutsensalo, J.; Lilleberg, J.; Hottinen, A.; Karhunen, J.1996 A Hierarchic Maximum Likelihood Method for Delay Estimation in CDMA
Joutsensalo, J.; Lilleberg, J.; Hottinen, A.; Karhunen, J.1996 Hierarchic Nonlinear PCA Algorithms for Neural Blind Source Separation
Karhunen, J.; Pajunen, P.1996 Neural Approaches to Independent Component Analysis and Source Separation
Karhunen, J.1996 Nonlinear Blind Source Separation by Self-Organizing Maps
Pajunen, P.; Hyvärinen, A.; Karhunen, J.1996 Neural Estimation of Basis Vectors in Independent Component Analysis
Karhunen, J.; Wang, L.; Joutsensalo, J.1995 Nonlinear PCA Type Approaches for Source Separation and Independent Component Analysis
Karhunen, J.; Wang, L.; Vigario, R.1995 Signal Separation by Nonlinear Hebbian Learning
Oja, E.; Karhunen, J.1995 Estimation of Equispaced Sinusoids Using Maximum Likelihood Method
Pajunen, P.; Joutsensalo, J.; Karhunen, J.; Saarinen, K.1995 Maximum Likelihood Estimation of Equispaced Sinusoids in Machine Vibration Analysis
Pajunen, P.; Joutsensalo, J.; Karhunen, J.; Saarinen, K.1995 Blind Separation of Sources Using Nonlinear PCA Type Learning Algorithms
Wang, L.; Karhunen, J.; Oja, E.; Vigario, R.1995 A Bigradient Optimization Approach for Robust PCA, MCA, and Source Separation
Wang, L.; Karhunen, J.; Oja, E.1995 Optimization Criteria and Nonlinear PCA Neural Networks
Karhunen, J.1994 Nonlinear Generalizations of Principal Component Learning Algorithms
Karhunen, J.; Joutsensalo, J.1993 Learning of Robust Principal Component Subspace
Karhunen, J.; Joutsensalo, J.1993 Non-refereed scientific articles
Book sectionUnsupervised Deep Learning: A Short Review
Karhunen, J.; Raiko, T.; Cho, K.2015 ISBN: 9780128028063Unrefereed conference proceedingsAdvances in Training Restricted Boltzmann Machines
Cho, K.; Raiko, Tapani; Karhunen, Juha2012 ISBN: 978-3-642-34155-7Scientific books (monographs)
BookIndependent Component Analysis.Japanese translation
Hyvärinen, Aapo; Karhunen, J.; Oja, E.2005 Independent Component Analysis
Hyvärinen, Aapo; Karhunen, J.; Oja, E.2001 Publications intended for professional communities
Article in professional journalTop Research in Learning and Adaptive Information Processing Systems
Karhunen, J.1999 in Polysteekki (John Wiley)ISSN: 1455-9595Published development or research reportNatural Conjugate Gradient in Variational Inference
Honkela, Antti; Tornio, Matti; Raiko, Tapani; Karhunen, Juha2007 Building blocks for variational Bayesian learning of latent variable models
Raiko, Tapani; Valpola, Harri; Harva, Markus; Karhunen, Juha2006 Technical Report on Separation Methods for Nonlinear Mixtures
Jutten, C.; Karhunen, Juha; Almeida, L.; Harmeling, S.2003 Final Technical Report on BSS Models and Methods for Non-Independent BSS
Karhunen, Juha; Meinecke, F.; Valpola, H.; Ziehe, A.2003 Final Technical Report on Linear ICA
Pham, D.-T.; Ziehe, A.; Karhunen, Juha; Jutten, C.2003 A Complexity Minimization Approach for Estimating Fading Gaussian Channel in CDMA Communications
Cristescu, Razvan; Joutsensalo, J.; Karhunen, J.; Oja, E.2000 Delay Estimation in CDMA Communications Using A FastICA Algorithm
Cristescu, Razvan; Ristaniemi, T.; Joutsensalo, J.; Karhunen, J.2000 Nonlinear Source Separation Using Ensemble Learning and MLP Networks
Lappalainen, H.; Honkela, A.; Giannakopoulos, X.; Karhunen, J.2000 Nonlinear Independent Component Analysis Using Ensemble Learning: Experiments and Discussion
Valpola, Harri; Giannakopoulos, X.; Honkela, A.; Karhunen, J.2000 A Comparison of Neural ICA Algorithms using Real-World Data
Giannakopoulos, X.; Karhunen, J.; Oja, E.1999 Local Independent Component Analysis Using Clustering
Karhunen, J.; Malaroiu, S.1999 Locally Linear Independent Component Analysis
Karhunen, J.; Malaroiu, S.1999 Neural Networks for Blind Separation with Unknown Number of Sources
Cichocki, A.; Karhunen, J.; Kasprzak, W.; Vigário, R.1998 An Experimental Comparison of Neural ICA Algorithms
Giannakopoulos, X.; Karhunen, J.; Oja, E.1998 Blind Source Separation Using Least-Squares Type Adaptive Algorithms
Karhunen, J.; Pajunen, P.1997 Self-Organizing Maps for Independent Component Analysis
Pajunen, P.; Karhunen, J.1997 Image Feature Extraction Using Independent Component Analysis
Hurri, J.; Hyvärinen, A.; Karhunen, J.; Oja, E.1996 A Class of Neural Networks for Independent Component Analysis
Karhunen, J.; Oja, E.; Wang, L.; Vigario, R.; Joutsensalo, J.1995 Nonlinear Multilayer Principal Component Type Subspace Learning Algorithms
Joutsensalo, J.; Karhunen, J.1993 Representation and Separation of Signals Using Nonlinear PCA Type Learning
Karhunen, J.; Joutsensalo, J.1993 Nonlinear PCA: Algorithms and Applications
Oja, E.; Karhunen, J.1993
A pragmatic android malware detection procedure
Palumbo, Paolo; Sayfullina, Luiza; Komashinskiy, Dmitriy; Eirola, Emil; Karhunen, Juha
2017 in COMPUTERS AND SECURITY (ELSEVIER ADVANCED TECHNOLOGY)ISSN: 0167-4048
Arbitrary Category Classification of Websites Based on Image Content
Akusok, Anton; Miche, Yoan; Karhunen, Juha; Björk, Kaj-Mikael; Nian, Rui; Lendasse, Amaury
2015 in IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (Institute of Electrical and Electronics Engineers Inc.)ISSN: 1556-603X
Finding Dependent and Independent Components from Related Data Sets: A Generalized Canonical Correlation Based Method
Karhunen, Juha; Hao, Tele; Ylipaavalniemi, Jarkko
2013 in NEUROCOMPUTING (Elsevier Science B.V.)ISSN: 0925-2312
Development of a Neural Network Model for Cloud Detection by Means of NASA-Aura OMI VIS Radiance Measurements
Saponaro, Giulia; Kolmonen, Pekka; Karhunen, Juha; Tamminen, Johanna; de Leeuw, Gerrit
2013 in ATMOSPHERIC MEASUREMENT TECHNIQUES (Copernicus Gesellschaft mbH)ISSN: 1867-1381
A neural network algorithm for cloud fraction estimation using NASA-Aura OMI VIS radiance measurements
Saponaro, Giulia; Kolmonen, Pekka; Karhunen, J.; Tamminen, J.; de Leeuw, G.
2013 in ATMOSPHERIC MEASUREMENT TECHNIQUES (Copernicus Gesellschaft mbH)ISSN: 1867-1381
Bayesian Robust PCA of Incomplete Data
Luttinen, Jaakko; Ilin, Alexander; Karhunen, Juha
2012 in NEURAL PROCESSING LETTERS (Springer Netherlands)ISSN: 1370-4621
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Honkela, Antti; Raiko, Tapani; Kuusela, Mikael; Tornio, Matti; Karhunen, Juha
2010 in JOURNAL OF MACHINE LEARNING RESEARCH (MICROTOME PUBL)ISSN: 1532-4435
Blind Separation of Nonlinear Mixtures by Variational Bayesian Learning
Honkela, Antti; Valpola, Harri; Ilin, Alexander; Karhunen, Juha
2007 in DIGITAL SIGNAL PROCESSING (Elsevier Inc.)Extending ICA for Finding Jointly Dependent Components from Two Related Data Sets
Karhunen, Juha; Ukkonen, Tomas
2007 in NEUROCOMPUTING (Elsevier Science B.V.)Building Blocks for Variational Bayesian Learning of Latent Variable Models
Raiko, Tapani; Valpola, Harri; Harva, Markus; Karhunen, Juha
2007 in JOURNAL OF MACHINE LEARNING RESEARCH (MICROTOME PUBL)Jammer suppression in DS-CDMA arrays using independent component analysis
Raju, Karthikesh; Ristaniemi, Tapani; Karhunen, Juha; Oja, Erkki
2006 in IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC)ISSN: 1536-1276
Advances in Blind Source Separation (BSS) and Independent Component Analysis (ICA) for Nonlinear Mixtures
Jutten, C.; Karhunen, J.
2004 in INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (WORLD SCIENTIFIC PUBL CO PTE LTD)Hierarchical Models of Variance Sources
Valpola, Harri; Harva, Markus; Karhunen, Juha
2004 in SIGNAL PROCESSING (Elsevier)ISSN: 0165-1684
Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches
Honkela, Antti; Valpola, H.; Karhunen, J.
2003 in NEURAL PROCESSING LETTERS (Springer Netherlands)Nonlinear Blind Source Separation by Variational Bayesian Learning
Valpola, Harri; Oja, E.; Ilin, A.; Honkela, A.; Karhunen, J.
2003 in IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Springer Netherlands)An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
Valpola, Harri; Karhunen, J.
2002 in NEURAL COMPUTATION (MIT PRESS)Local Linear Independent Component Analysis Based on Clustering
Karhunen, Juha; Malaroiu, S.; Ilmoniemi, M.
2000 in INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (WORLD SCIENTIFIC PUBL CO PTE LTD)Neural Networks for Blind Separation with Unknown Number of Sources
Cichocki, A.; Karhunen, J.; Kasprzak, W.; Vigário, R.
1999 in NEUROCOMPUTING (Elsevier Science B.V.)An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation
Giannakopoulos, X.; Karhunen, J.; Oja, E.
1999 in INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (WORLD SCIENTIFIC PUBL CO PTE LTD)The Nonlinear PCA Criterion in Blind Source Separation: Relations with Other Approaches
Karhunen, J.; Pajunen, P.; Oja, E.
1998 in NEUROCOMPUTING (Elsevier Science B.V.)Book Review.Principal Component Neural Networks - Theory and Applications by K.I.Diamantaras and S.Y.Kung (New York, John Wiley 1996)
Karhunen, J.
1998 in PATTERN ANALYSIS AND APPLICATIONS (Springer London)On Neural Blind Separation with Noise Suppression and Redundancy Reduction
Karhunen, J.; Cichocki, A.; Kasprzak, W.; Pajunen, P.
1997 in INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (WORLD SCIENTIFIC PUBL CO PTE LTD)A Class of Neural Networks for Independent Component Analysis
Karhunen, J.; Oja, E.; Wang, L.; Vigário, R.; Joutsensalo, J.
1997 in IEEE TRANSACTIONS ON NEURAL NETWORKS (IEEE Computational Intelligence Society)Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA
Pajunen, Petteri; Karhunen, J.
1997 in INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (WORLD SCIENTIFIC PUBL CO PTE LTD)Cul-de-sac Hypernasality Test with Pattern Recognition of LPC Indices
Haapanen, M.; Liu, L.; Hiltunen, T.; Leinonen, L.; Karhunen, J.
1996 in FOLIA PHONIATRICA ET LOGOPAEDICA (S. Karger AG)A Unified Neural Bigradient Algorithm for Robust PCA and MCA
Wang, L.; Karhunen, J.
1996 in INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (WORLD SCIENTIFIC PUBL CO PTE LTD)A Nonlinear Extension of the Generalized Hebbian Learning
Joutsensalo, J.; Karhunen, J.
1995 in NEURAL PROCESSING LETTERS (Springer Netherlands)Generalizations of Principal Component Analysis, Optimization Problems, and Neural Networks
Karhunen, J.; Joutsensalo, J.
1995 in NEURAL NETWORKS (PERGAMON-ELSEVIER SCIENCE LTD)Stability of Oja's Subspace Rule
Karhunen, J.
1994 in NEURAL COMPUTATION (MIT PRESS)Representation and Separation of Signals Using Nonlinear PCA Type Learning
Karhunen, J.; Joutsensalo, J.
1994 in NEURAL NETWORKS (PERGAMON-ELSEVIER SCIENCE LTD)Robust PCA Methods for Complete and Missing Data
Karhunen, Juha
2011 in NEURAL NETWORK WORLD (Institute of Computer Science)ISSN: 1210-0552
Book section, Chapters in research booksHow to Pretrain Deep Boltzmann Machines in Two Stages
Cho, KyungHyun; Raiko, Tapani; Ilin, Alexander; Karhunen, Juha2015 ISBN: 978-3-319-09903-3Nonlinear Mixtures (Chapter 14)
Jutten, Christian; Babaie-Zadeh, Massoud; Karhunen, Juha2010 Nonlinear Independent Component Analysis
Karhunen, Juha2001 Neural Independent Component Analysis - Approaches and Applications
Oja, E.; Karhunen, J.; Hyvärinen, A.; Vigário, R.; Hurri, J.1998 Conference proceedingsImage pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map
Ishikawa, Satoru; Laaksonen, Jorma; Karhunen, Juha2017 ISBN: 9781509061815Android Malfare Detection Building Useful Representations
Sayfullina, Luiza; Eirola, Emil; Komashinskiy, Dmitri; Palumbo, Paolo; Karhunen, Juha2017 ISBN: 978-1-5090-6166-2Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
Wang, Huiling ; Raiko, Tapani; Lensu, Lasse; Wang, Tinghuai; Karhunen, Juha2017 in Lecture Notes in Computer Science (SPRINGER)ISBN: 9783319541815ISSN: 0302-9743Air Quality Forecasting Using Neural Networks
Zhao, Cheng; van Heeswijk, Mark; Karhunen, Juha2017 ISBN: 9781509042401Gaussian Process Kernels for Popular State-Space Time Series Models
Grigorevskiy, Alexander; Karhunen, Juha2016 in International joint conference on neural networks (IEEE)ISBN: 978-1-5090-0619-9ISSN: 2161-4407Bidirectional recurrent neural networks as generative models
Berglund, Mathias; Raiko, Tapani; Honkala, Mikko; Kärkkäinen, Leo; Vetek, Akos; Karhunen, Juha2015 ISSN: 1049-5258Stochastic Discriminant Analysis
Juuti, Mika; Corona, Francesco; Karhunen, Juha2015 ISSN: 2161-4407Efficient Detection of Zero-Day Android Malware Using Normalized Bernoulli Naive Bayes
Sayfullina, L.; Eirola, E.; Komashinsky, D.; Palumbo, P.; Miche, Y.; Lendasse, A.; Karhunen, J.2015 ISBN: 978-1-4673-7952-6ISSN: 2324-9013Variable Selection for Regression Problems Using Gaussian Mixture Models to Estimate Mutual Information
Eirola, Emil; Lendasse, Amaury; Karhunen, Juha2014 ISBN: 978-1-4799-6627-1A Two-stage Pretraining Algorithm for Deep Boltzmann Machines
Cho, KyungHyun; Raiko, Tapani; Ilin, Alexander; Karhunen, Juha2013 ISBN: 978-3-642-40727-7A Two-stage Pretraining Algorithm for Deep Boltzmann Machines
Cho, KyungHyun; Raiko, Tapani; Ilin, Alexander; Karhunen, Juha2012 A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets
Karhunen, Juha; Hao, Tele; Ylipaavalniemi, Jarkko2012 ISBN: 978-3-642-28550-9A generalized canonical correlation analysis based method for blind source separation from related data sets
Karhunen, Juha; Hao, Tele; Ylipaavalniemi, Jarkko2012 ISBN: 978-1-5673-1488-6Finding dependent and independent components from two related data sets
Karhunen, J.; Hao, T.2011 ISBN: 978-1-4577-1086-5A Gradient-Based Algorithm Competitive with Variational Bayesian EM for Mixture of Gaussians
Kuusela, Mikael; Raiko, Tapani; Honkela, Antti; Karhunen, Juha2009 Bayesian Robust PCA for Incomplete Data
Luttinen, Jaakko; Ilin, Alexander; Karhunen, Juha2009 Natural Conjugate Gradient in Variational Inference
Honkela, Antti; Tornio, Matti; Raiko, Tapani; Karhunen, Juha2008 Variational Inference and Learning for Continuous-Time Nonlinear State-Space Models
Honkela, Antti; Harva, Markus; Raiko, Tapani; Karhunen, Juha2008 Principal Component Analysis for Sparse High-Dimensional Data
Raiko, Tapani; Ilin, Alexander; Karhunen, Juha2008 Macadamia: Master's Programme in Machine Learning and Data Mining
Raiko, Tapani; Puolamäki, Kai; Karhunen, Juha; Hollmén, Jaakko; Honkela, Antti; Kaski, Samuel; Mannila, Heikki; Oja, Erkki; Simula, Olli2008 Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Raiko, Tapani; Ilin, Alexander; Karhunen, Juha2007 Time Series Prediction with Variational Bayesian Nonlinear State-Space Models
Tornio, Matti; Honkela, Antti; Karhunen, Juha2007 Generalizing Independent Component Analysis for Two Related Data Sets
Karhunen, Juha; Ukkonen, Tomas2006 ISBN: 0-7803-9489-5State Inference in Variational Bayesian Nonlinear State-Space Models
Raiko, Tapani; Tornio, Matti; Honkela, Antti; Karhunen, Juha2006 ISBN: 3-540-32630-8ISSN: 0302-9743Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework
Harva, M.; Raiko, T.; Honkela, A.; Valpola, H.; Karhunen, J.2005 Semi-Blind Interference Suppression on Coherent Multipath Environments
Raju, K.; Ristaniemi, T.; Karhunen, J.2004 Advances in Nonlinear Blind Source Separation
Jutten, C.; Karhunen, Juha2003 Missing Values in Hierarchical Nonlinear Factor Analysis
Raiko, Tapani; Valpola, H.; Östman, T.; Karhunen, J.2003 Inter-Cell Interference Cancellation in CDMA Array Systems by Independent Component Analysis
Ristaniemi, T.; Raju, Karthikesh; Karhunen, J.; Oja, E.2003 Nonlinear Independent Factor Analysis by Hierarchical Models
Valpola, Harri; Östman, T.; Karhunen, J.2003 Hierarchical Models of Variance Sources
Valpola, Harri; Harva, M.; Karhunen, J.2003 Bayesian Learning of Logical Hidden Markov Models
Raiko, Tapani; Kersting, K.; Karhunen, J.; De Raedt, L.2002 Suppression of Bit-Pulsed Jammer Signals in a DS-CDMA Array Systems Using Independent Component Analysis
Raju, Karthikesh; Ristaniemi, T.; Karhunen, J.; Oja, E.2002 Jammer Mitigation in DS-CDMA Array Systems Using Independent Component Analysis
Ristaniemi, T.; Raju, Karthikesh; Karhunen, J.2002 Jammer Cancellation in DS-CDMA Array Systems: Pre and Post Switching of ICA and RAKE
Ristaniemi, T.; Raju, Karthikesh; Karhunen, J.; Oja, E.2002 An Ensemble Learning Approach to Nonlinear Dynamic Blind Source Separation Using State-Space Models
Valpola, Harri; Honkela, A.; Karhunen, J.2002 Constructing Graphical Models for Bayesian Ensemble Learning from Simple Building Blocks
Valpola, Harri; Raiko, T.; Karhunen, J.2002 An Ensemble Learning Approach to Nonlinear Independent Component Analysis
Honkela, Antti; Karhunen, J.2001 Nonlinear Static and Dynamic Blind Source Separation Using Ensemble Learning
Valpola, Harri; Honkela, A.; Karhunen, J.2001 Building Blocks for Hierarchical Latent Variable Models
Valpola, Harri; Raiko, T.; Karhunen, J.2001 Blind Separation Methods for CDMA Communications
Cristescu, Razvan; Karhunen, J.; Joutsensalo, J.; Ristaniemi, T.2000 CDMA Delay Estimation Using Fast ICA Algorithm
Cristescu, Razvan; Ristaniemi, T.; Joutsensalo, J.; Karhunen, J.2000 Blind Separation of Convolved Mixtures for CDMA Systems
Cristescu, Razvan; Ristaniemi, T.; Joutsensalo, J.; Karhunen, J.2000 Nonlinear Blind Source Separation Using Ensemble Learning
Lappalainen, H.; Giannakopoulos, X.; Karhunen, J.1999 New Results on Nonlinear PCA Criterion in Blind Source Separation
Karhunen, J.; Pajunen, P.1998 Extending Neural ICA and Blind Source Separation for Nonlinear Data Models
Karhunen, J.; Pajunen, P.; Hyvärinen, A.1998 Blind Separation from e-Contaminated Mixtures
Koivunen, V.; Pajunen, P.; Karhunen, J.; Oja, E.1998 Information Theoretic and Nonlinear PCA Approaches to Independent Component Analysis
Oja, E.; Karhunen, J.1998 Subspace Algorithms for Synchronization and Tracking in CDMA
Joutsensalo, J.; Lilleberg, J.; Hottinen, A.; Karhunen, J.1997 Applications of Neural Blind Separation to Signal and Image Processing
Karhunen, J.; Hyvärinen, A.; Vigário, R.; Hurri, J.; Oja, E.1997 Blind Source Separation and Tracking Using Nonlinear PCA Criterion: A Least-Squares Approach
Karhunen, J.; Pajunen, P.1997 From Neural Principal Components to Neural Independent Components
Oja, E.; Karhunen, J.; Hyvärinen, A.1997 A Maximum Likelihood Approach to Nonlinear Blind Source Separation
Pajunen, P.; Karhunen, J.1997 Hierarchic Method for CDMA Synchronization
Joutsensalo, J.; Lilleberg, J.; Hottinen, A.; Karhunen, J.1996 A Hierarchic Maximum Likelihood Method for Delay Estimation in CDMA
Joutsensalo, J.; Lilleberg, J.; Hottinen, A.; Karhunen, J.1996 Hierarchic Nonlinear PCA Algorithms for Neural Blind Source Separation
Karhunen, J.; Pajunen, P.1996 Neural Approaches to Independent Component Analysis and Source Separation
Karhunen, J.1996 Nonlinear Blind Source Separation by Self-Organizing Maps
Pajunen, P.; Hyvärinen, A.; Karhunen, J.1996 Neural Estimation of Basis Vectors in Independent Component Analysis
Karhunen, J.; Wang, L.; Joutsensalo, J.1995 Nonlinear PCA Type Approaches for Source Separation and Independent Component Analysis
Karhunen, J.; Wang, L.; Vigario, R.1995 Signal Separation by Nonlinear Hebbian Learning
Oja, E.; Karhunen, J.1995 Estimation of Equispaced Sinusoids Using Maximum Likelihood Method
Pajunen, P.; Joutsensalo, J.; Karhunen, J.; Saarinen, K.1995 Maximum Likelihood Estimation of Equispaced Sinusoids in Machine Vibration Analysis
Pajunen, P.; Joutsensalo, J.; Karhunen, J.; Saarinen, K.1995 Blind Separation of Sources Using Nonlinear PCA Type Learning Algorithms
Wang, L.; Karhunen, J.; Oja, E.; Vigario, R.1995 A Bigradient Optimization Approach for Robust PCA, MCA, and Source Separation
Wang, L.; Karhunen, J.; Oja, E.1995 Optimization Criteria and Nonlinear PCA Neural Networks
Karhunen, J.1994 Nonlinear Generalizations of Principal Component Learning Algorithms
Karhunen, J.; Joutsensalo, J.1993 Learning of Robust Principal Component Subspace
Karhunen, J.; Joutsensalo, J.1993 Non-refereed scientific articles
Book sectionUnsupervised Deep Learning: A Short Review
Karhunen, J.; Raiko, T.; Cho, K.2015 ISBN: 9780128028063Unrefereed conference proceedingsAdvances in Training Restricted Boltzmann Machines
Cho, K.; Raiko, Tapani; Karhunen, Juha2012 ISBN: 978-3-642-34155-7Scientific books (monographs)
BookIndependent Component Analysis.Japanese translation
Hyvärinen, Aapo; Karhunen, J.; Oja, E.2005 Independent Component Analysis
Hyvärinen, Aapo; Karhunen, J.; Oja, E.2001 Publications intended for professional communities
Article in professional journalTop Research in Learning and Adaptive Information Processing Systems
Karhunen, J.1999 in Polysteekki (John Wiley)ISSN: 1455-9595Published development or research reportNatural Conjugate Gradient in Variational Inference
Honkela, Antti; Tornio, Matti; Raiko, Tapani; Karhunen, Juha2007 Building blocks for variational Bayesian learning of latent variable models
Raiko, Tapani; Valpola, Harri; Harva, Markus; Karhunen, Juha2006 Technical Report on Separation Methods for Nonlinear Mixtures
Jutten, C.; Karhunen, Juha; Almeida, L.; Harmeling, S.2003 Final Technical Report on BSS Models and Methods for Non-Independent BSS
Karhunen, Juha; Meinecke, F.; Valpola, H.; Ziehe, A.2003 Final Technical Report on Linear ICA
Pham, D.-T.; Ziehe, A.; Karhunen, Juha; Jutten, C.2003 A Complexity Minimization Approach for Estimating Fading Gaussian Channel in CDMA Communications
Cristescu, Razvan; Joutsensalo, J.; Karhunen, J.; Oja, E.2000 Delay Estimation in CDMA Communications Using A FastICA Algorithm
Cristescu, Razvan; Ristaniemi, T.; Joutsensalo, J.; Karhunen, J.2000 Nonlinear Source Separation Using Ensemble Learning and MLP Networks
Lappalainen, H.; Honkela, A.; Giannakopoulos, X.; Karhunen, J.2000 Nonlinear Independent Component Analysis Using Ensemble Learning: Experiments and Discussion
Valpola, Harri; Giannakopoulos, X.; Honkela, A.; Karhunen, J.2000 A Comparison of Neural ICA Algorithms using Real-World Data
Giannakopoulos, X.; Karhunen, J.; Oja, E.1999 Local Independent Component Analysis Using Clustering
Karhunen, J.; Malaroiu, S.1999 Locally Linear Independent Component Analysis
Karhunen, J.; Malaroiu, S.1999 Neural Networks for Blind Separation with Unknown Number of Sources
Cichocki, A.; Karhunen, J.; Kasprzak, W.; Vigário, R.1998 An Experimental Comparison of Neural ICA Algorithms
Giannakopoulos, X.; Karhunen, J.; Oja, E.1998 Blind Source Separation Using Least-Squares Type Adaptive Algorithms
Karhunen, J.; Pajunen, P.1997 Self-Organizing Maps for Independent Component Analysis
Pajunen, P.; Karhunen, J.1997 Image Feature Extraction Using Independent Component Analysis
Hurri, J.; Hyvärinen, A.; Karhunen, J.; Oja, E.1996 A Class of Neural Networks for Independent Component Analysis
Karhunen, J.; Oja, E.; Wang, L.; Vigario, R.; Joutsensalo, J.1995 Nonlinear Multilayer Principal Component Type Subspace Learning Algorithms
Joutsensalo, J.; Karhunen, J.1993 Representation and Separation of Signals Using Nonlinear PCA Type Learning
Karhunen, J.; Joutsensalo, J.1993 Nonlinear PCA: Algorithms and Applications
Oja, E.; Karhunen, J.1993
How to Pretrain Deep Boltzmann Machines in Two Stages
Cho, KyungHyun; Raiko, Tapani; Ilin, Alexander; Karhunen, Juha
2015 ISBN: 978-3-319-09903-3
Nonlinear Mixtures (Chapter 14)
Jutten, Christian; Babaie-Zadeh, Massoud; Karhunen, Juha
2010 Nonlinear Independent Component Analysis
Karhunen, Juha
2001 Neural Independent Component Analysis - Approaches and Applications
Oja, E.; Karhunen, J.; Hyvärinen, A.; Vigário, R.; Hurri, J.
1998 Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map
Ishikawa, Satoru; Laaksonen, Jorma; Karhunen, Juha
2017 ISBN: 9781509061815
Android Malfare Detection Building Useful Representations
Sayfullina, Luiza; Eirola, Emil; Komashinskiy, Dmitri; Palumbo, Paolo; Karhunen, Juha
2017 ISBN: 978-1-5090-6166-2
Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
Wang, Huiling ; Raiko, Tapani; Lensu, Lasse; Wang, Tinghuai; Karhunen, Juha
2017 in Lecture Notes in Computer Science (SPRINGER)ISBN: 9783319541815
ISSN: 0302-9743
Air Quality Forecasting Using Neural Networks
Zhao, Cheng; van Heeswijk, Mark; Karhunen, Juha
2017 ISBN: 9781509042401
Gaussian Process Kernels for Popular State-Space Time Series Models
Grigorevskiy, Alexander; Karhunen, Juha
2016 in International joint conference on neural networks (IEEE)ISBN: 978-1-5090-0619-9
ISSN: 2161-4407
Bidirectional recurrent neural networks as generative models
Berglund, Mathias; Raiko, Tapani; Honkala, Mikko; Kärkkäinen, Leo; Vetek, Akos; Karhunen, Juha
2015 ISSN: 1049-5258
Stochastic Discriminant Analysis
Juuti, Mika; Corona, Francesco; Karhunen, Juha
2015 ISSN: 2161-4407
Efficient Detection of Zero-Day Android Malware Using Normalized Bernoulli Naive Bayes
Sayfullina, L.; Eirola, E.; Komashinsky, D.; Palumbo, P.; Miche, Y.; Lendasse, A.; Karhunen, J.
2015 ISBN: 978-1-4673-7952-6
ISSN: 2324-9013
Variable Selection for Regression Problems Using Gaussian Mixture Models to Estimate Mutual Information
Eirola, Emil; Lendasse, Amaury; Karhunen, Juha
2014 ISBN: 978-1-4799-6627-1
A Two-stage Pretraining Algorithm for Deep Boltzmann Machines
Cho, KyungHyun; Raiko, Tapani; Ilin, Alexander; Karhunen, Juha
2013 ISBN: 978-3-642-40727-7
A Two-stage Pretraining Algorithm for Deep Boltzmann Machines
Cho, KyungHyun; Raiko, Tapani; Ilin, Alexander; Karhunen, Juha
2012 A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets
Karhunen, Juha; Hao, Tele; Ylipaavalniemi, Jarkko
2012 ISBN: 978-3-642-28550-9
A generalized canonical correlation analysis based method for blind source separation from related data sets
Karhunen, Juha; Hao, Tele; Ylipaavalniemi, Jarkko
2012 ISBN: 978-1-5673-1488-6
Finding dependent and independent components from two related data sets
Karhunen, J.; Hao, T.
2011 ISBN: 978-1-4577-1086-5
A Gradient-Based Algorithm Competitive with Variational Bayesian EM for Mixture of Gaussians
Kuusela, Mikael; Raiko, Tapani; Honkela, Antti; Karhunen, Juha
2009 Bayesian Robust PCA for Incomplete Data
Luttinen, Jaakko; Ilin, Alexander; Karhunen, Juha
2009 Natural Conjugate Gradient in Variational Inference
Honkela, Antti; Tornio, Matti; Raiko, Tapani; Karhunen, Juha
2008 Variational Inference and Learning for Continuous-Time Nonlinear State-Space Models
Honkela, Antti; Harva, Markus; Raiko, Tapani; Karhunen, Juha
2008 Principal Component Analysis for Sparse High-Dimensional Data
Raiko, Tapani; Ilin, Alexander; Karhunen, Juha
2008 Macadamia: Master's Programme in Machine Learning and Data Mining
Raiko, Tapani; Puolamäki, Kai; Karhunen, Juha; Hollmén, Jaakko; Honkela, Antti; Kaski, Samuel; Mannila, Heikki; Oja, Erkki; Simula, Olli
2008 Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Raiko, Tapani; Ilin, Alexander; Karhunen, Juha
2007 Time Series Prediction with Variational Bayesian Nonlinear State-Space Models
Tornio, Matti; Honkela, Antti; Karhunen, Juha
2007 Generalizing Independent Component Analysis for Two Related Data Sets
Karhunen, Juha; Ukkonen, Tomas
2006 ISBN: 0-7803-9489-5
State Inference in Variational Bayesian Nonlinear State-Space Models
Raiko, Tapani; Tornio, Matti; Honkela, Antti; Karhunen, Juha
2006 ISBN: 3-540-32630-8
ISSN: 0302-9743
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework
Harva, M.; Raiko, T.; Honkela, A.; Valpola, H.; Karhunen, J.
2005 Semi-Blind Interference Suppression on Coherent Multipath Environments
Raju, K.; Ristaniemi, T.; Karhunen, J.
2004 Advances in Nonlinear Blind Source Separation
Jutten, C.; Karhunen, Juha
2003 Missing Values in Hierarchical Nonlinear Factor Analysis
Raiko, Tapani; Valpola, H.; Östman, T.; Karhunen, J.
2003 Inter-Cell Interference Cancellation in CDMA Array Systems by Independent Component Analysis
Ristaniemi, T.; Raju, Karthikesh; Karhunen, J.; Oja, E.
2003 Nonlinear Independent Factor Analysis by Hierarchical Models
Valpola, Harri; Östman, T.; Karhunen, J.
2003 Hierarchical Models of Variance Sources
Valpola, Harri; Harva, M.; Karhunen, J.
2003 Bayesian Learning of Logical Hidden Markov Models
Raiko, Tapani; Kersting, K.; Karhunen, J.; De Raedt, L.
2002 Suppression of Bit-Pulsed Jammer Signals in a DS-CDMA Array Systems Using Independent Component Analysis
Raju, Karthikesh; Ristaniemi, T.; Karhunen, J.; Oja, E.
2002 Jammer Mitigation in DS-CDMA Array Systems Using Independent Component Analysis
Ristaniemi, T.; Raju, Karthikesh; Karhunen, J.
2002 Jammer Cancellation in DS-CDMA Array Systems: Pre and Post Switching of ICA and RAKE
Ristaniemi, T.; Raju, Karthikesh; Karhunen, J.; Oja, E.
2002 An Ensemble Learning Approach to Nonlinear Dynamic Blind Source Separation Using State-Space Models
Valpola, Harri; Honkela, A.; Karhunen, J.
2002 Constructing Graphical Models for Bayesian Ensemble Learning from Simple Building Blocks
Valpola, Harri; Raiko, T.; Karhunen, J.
2002 An Ensemble Learning Approach to Nonlinear Independent Component Analysis
Honkela, Antti; Karhunen, J.
2001 Nonlinear Static and Dynamic Blind Source Separation Using Ensemble Learning
Valpola, Harri; Honkela, A.; Karhunen, J.
2001 Building Blocks for Hierarchical Latent Variable Models
Valpola, Harri; Raiko, T.; Karhunen, J.
2001 Blind Separation Methods for CDMA Communications
Cristescu, Razvan; Karhunen, J.; Joutsensalo, J.; Ristaniemi, T.
2000 CDMA Delay Estimation Using Fast ICA Algorithm
Cristescu, Razvan; Ristaniemi, T.; Joutsensalo, J.; Karhunen, J.
2000 Blind Separation of Convolved Mixtures for CDMA Systems
Cristescu, Razvan; Ristaniemi, T.; Joutsensalo, J.; Karhunen, J.
2000 Nonlinear Blind Source Separation Using Ensemble Learning
Lappalainen, H.; Giannakopoulos, X.; Karhunen, J.
1999 New Results on Nonlinear PCA Criterion in Blind Source Separation
Karhunen, J.; Pajunen, P.
1998 Extending Neural ICA and Blind Source Separation for Nonlinear Data Models
Karhunen, J.; Pajunen, P.; Hyvärinen, A.
1998 Blind Separation from e-Contaminated Mixtures
Koivunen, V.; Pajunen, P.; Karhunen, J.; Oja, E.
1998 Information Theoretic and Nonlinear PCA Approaches to Independent Component Analysis
Oja, E.; Karhunen, J.
1998 Subspace Algorithms for Synchronization and Tracking in CDMA
Joutsensalo, J.; Lilleberg, J.; Hottinen, A.; Karhunen, J.
1997 Applications of Neural Blind Separation to Signal and Image Processing
Karhunen, J.; Hyvärinen, A.; Vigário, R.; Hurri, J.; Oja, E.
1997 Blind Source Separation and Tracking Using Nonlinear PCA Criterion: A Least-Squares Approach
Karhunen, J.; Pajunen, P.
1997 From Neural Principal Components to Neural Independent Components
Oja, E.; Karhunen, J.; Hyvärinen, A.
1997 A Maximum Likelihood Approach to Nonlinear Blind Source Separation
Pajunen, P.; Karhunen, J.
1997 Hierarchic Method for CDMA Synchronization
Joutsensalo, J.; Lilleberg, J.; Hottinen, A.; Karhunen, J.
1996 A Hierarchic Maximum Likelihood Method for Delay Estimation in CDMA
Joutsensalo, J.; Lilleberg, J.; Hottinen, A.; Karhunen, J.
1996 Hierarchic Nonlinear PCA Algorithms for Neural Blind Source Separation
Karhunen, J.; Pajunen, P.
1996 Neural Approaches to Independent Component Analysis and Source Separation
Karhunen, J.
1996 Nonlinear Blind Source Separation by Self-Organizing Maps
Pajunen, P.; Hyvärinen, A.; Karhunen, J.
1996 Neural Estimation of Basis Vectors in Independent Component Analysis
Karhunen, J.; Wang, L.; Joutsensalo, J.
1995 Nonlinear PCA Type Approaches for Source Separation and Independent Component Analysis
Karhunen, J.; Wang, L.; Vigario, R.
1995 Signal Separation by Nonlinear Hebbian Learning
Oja, E.; Karhunen, J.
1995 Estimation of Equispaced Sinusoids Using Maximum Likelihood Method
Pajunen, P.; Joutsensalo, J.; Karhunen, J.; Saarinen, K.
1995 Maximum Likelihood Estimation of Equispaced Sinusoids in Machine Vibration Analysis
Pajunen, P.; Joutsensalo, J.; Karhunen, J.; Saarinen, K.
1995 Blind Separation of Sources Using Nonlinear PCA Type Learning Algorithms
Wang, L.; Karhunen, J.; Oja, E.; Vigario, R.
1995 A Bigradient Optimization Approach for Robust PCA, MCA, and Source Separation
Wang, L.; Karhunen, J.; Oja, E.
1995 Optimization Criteria and Nonlinear PCA Neural Networks
Karhunen, J.
1994 Nonlinear Generalizations of Principal Component Learning Algorithms
Karhunen, J.; Joutsensalo, J.
1993 Learning of Robust Principal Component Subspace
Karhunen, J.; Joutsensalo, J.
1993 Non-refereed scientific articles
Book sectionUnsupervised Deep Learning: A Short Review
Karhunen, J.; Raiko, T.; Cho, K.2015 ISBN: 9780128028063Unrefereed conference proceedingsAdvances in Training Restricted Boltzmann Machines
Cho, K.; Raiko, Tapani; Karhunen, Juha2012 ISBN: 978-3-642-34155-7Scientific books (monographs)
BookIndependent Component Analysis.Japanese translation
Hyvärinen, Aapo; Karhunen, J.; Oja, E.2005 Independent Component Analysis
Hyvärinen, Aapo; Karhunen, J.; Oja, E.2001 Publications intended for professional communities
Article in professional journalTop Research in Learning and Adaptive Information Processing Systems
Karhunen, J.1999 in Polysteekki (John Wiley)ISSN: 1455-9595Published development or research reportNatural Conjugate Gradient in Variational Inference
Honkela, Antti; Tornio, Matti; Raiko, Tapani; Karhunen, Juha2007 Building blocks for variational Bayesian learning of latent variable models
Raiko, Tapani; Valpola, Harri; Harva, Markus; Karhunen, Juha2006 Technical Report on Separation Methods for Nonlinear Mixtures
Jutten, C.; Karhunen, Juha; Almeida, L.; Harmeling, S.2003 Final Technical Report on BSS Models and Methods for Non-Independent BSS
Karhunen, Juha; Meinecke, F.; Valpola, H.; Ziehe, A.2003 Final Technical Report on Linear ICA
Pham, D.-T.; Ziehe, A.; Karhunen, Juha; Jutten, C.2003 A Complexity Minimization Approach for Estimating Fading Gaussian Channel in CDMA Communications
Cristescu, Razvan; Joutsensalo, J.; Karhunen, J.; Oja, E.2000 Delay Estimation in CDMA Communications Using A FastICA Algorithm
Cristescu, Razvan; Ristaniemi, T.; Joutsensalo, J.; Karhunen, J.2000 Nonlinear Source Separation Using Ensemble Learning and MLP Networks
Lappalainen, H.; Honkela, A.; Giannakopoulos, X.; Karhunen, J.2000 Nonlinear Independent Component Analysis Using Ensemble Learning: Experiments and Discussion
Valpola, Harri; Giannakopoulos, X.; Honkela, A.; Karhunen, J.2000 A Comparison of Neural ICA Algorithms using Real-World Data
Giannakopoulos, X.; Karhunen, J.; Oja, E.1999 Local Independent Component Analysis Using Clustering
Karhunen, J.; Malaroiu, S.1999 Locally Linear Independent Component Analysis
Karhunen, J.; Malaroiu, S.1999 Neural Networks for Blind Separation with Unknown Number of Sources
Cichocki, A.; Karhunen, J.; Kasprzak, W.; Vigário, R.1998 An Experimental Comparison of Neural ICA Algorithms
Giannakopoulos, X.; Karhunen, J.; Oja, E.1998 Blind Source Separation Using Least-Squares Type Adaptive Algorithms
Karhunen, J.; Pajunen, P.1997 Self-Organizing Maps for Independent Component Analysis
Pajunen, P.; Karhunen, J.1997 Image Feature Extraction Using Independent Component Analysis
Hurri, J.; Hyvärinen, A.; Karhunen, J.; Oja, E.1996 A Class of Neural Networks for Independent Component Analysis
Karhunen, J.; Oja, E.; Wang, L.; Vigario, R.; Joutsensalo, J.1995 Nonlinear Multilayer Principal Component Type Subspace Learning Algorithms
Joutsensalo, J.; Karhunen, J.1993 Representation and Separation of Signals Using Nonlinear PCA Type Learning
Karhunen, J.; Joutsensalo, J.1993 Nonlinear PCA: Algorithms and Applications
Oja, E.; Karhunen, J.1993
Unsupervised Deep Learning: A Short Review
Karhunen, J.; Raiko, T.; Cho, K.
2015 ISBN: 9780128028063
Advances in Training Restricted Boltzmann Machines
Cho, K.; Raiko, Tapani; Karhunen, Juha
2012 ISBN: 978-3-642-34155-7
Scientific books (monographs)
BookIndependent Component Analysis.Japanese translation
Hyvärinen, Aapo; Karhunen, J.; Oja, E.2005 Independent Component Analysis
Hyvärinen, Aapo; Karhunen, J.; Oja, E.2001 Publications intended for professional communities
Article in professional journalTop Research in Learning and Adaptive Information Processing Systems
Karhunen, J.1999 in Polysteekki (John Wiley)ISSN: 1455-9595Published development or research reportNatural Conjugate Gradient in Variational Inference
Honkela, Antti; Tornio, Matti; Raiko, Tapani; Karhunen, Juha2007 Building blocks for variational Bayesian learning of latent variable models
Raiko, Tapani; Valpola, Harri; Harva, Markus; Karhunen, Juha2006 Technical Report on Separation Methods for Nonlinear Mixtures
Jutten, C.; Karhunen, Juha; Almeida, L.; Harmeling, S.2003 Final Technical Report on BSS Models and Methods for Non-Independent BSS
Karhunen, Juha; Meinecke, F.; Valpola, H.; Ziehe, A.2003 Final Technical Report on Linear ICA
Pham, D.-T.; Ziehe, A.; Karhunen, Juha; Jutten, C.2003 A Complexity Minimization Approach for Estimating Fading Gaussian Channel in CDMA Communications
Cristescu, Razvan; Joutsensalo, J.; Karhunen, J.; Oja, E.2000 Delay Estimation in CDMA Communications Using A FastICA Algorithm
Cristescu, Razvan; Ristaniemi, T.; Joutsensalo, J.; Karhunen, J.2000 Nonlinear Source Separation Using Ensemble Learning and MLP Networks
Lappalainen, H.; Honkela, A.; Giannakopoulos, X.; Karhunen, J.2000 Nonlinear Independent Component Analysis Using Ensemble Learning: Experiments and Discussion
Valpola, Harri; Giannakopoulos, X.; Honkela, A.; Karhunen, J.2000 A Comparison of Neural ICA Algorithms using Real-World Data
Giannakopoulos, X.; Karhunen, J.; Oja, E.1999 Local Independent Component Analysis Using Clustering
Karhunen, J.; Malaroiu, S.1999 Locally Linear Independent Component Analysis
Karhunen, J.; Malaroiu, S.1999 Neural Networks for Blind Separation with Unknown Number of Sources
Cichocki, A.; Karhunen, J.; Kasprzak, W.; Vigário, R.1998 An Experimental Comparison of Neural ICA Algorithms
Giannakopoulos, X.; Karhunen, J.; Oja, E.1998 Blind Source Separation Using Least-Squares Type Adaptive Algorithms
Karhunen, J.; Pajunen, P.1997 Self-Organizing Maps for Independent Component Analysis
Pajunen, P.; Karhunen, J.1997 Image Feature Extraction Using Independent Component Analysis
Hurri, J.; Hyvärinen, A.; Karhunen, J.; Oja, E.1996 A Class of Neural Networks for Independent Component Analysis
Karhunen, J.; Oja, E.; Wang, L.; Vigario, R.; Joutsensalo, J.1995 Nonlinear Multilayer Principal Component Type Subspace Learning Algorithms
Joutsensalo, J.; Karhunen, J.1993 Representation and Separation of Signals Using Nonlinear PCA Type Learning
Karhunen, J.; Joutsensalo, J.1993 Nonlinear PCA: Algorithms and Applications
Oja, E.; Karhunen, J.1993
Independent Component Analysis.Japanese translation
Hyvärinen, Aapo; Karhunen, J.; Oja, E.
2005 Independent Component Analysis
Hyvärinen, Aapo; Karhunen, J.; Oja, E.
2001 Top Research in Learning and Adaptive Information Processing Systems
Karhunen, J.
1999 in Polysteekki (John Wiley)ISSN: 1455-9595
Published development or research reportNatural Conjugate Gradient in Variational Inference
Honkela, Antti; Tornio, Matti; Raiko, Tapani; Karhunen, Juha2007 Building blocks for variational Bayesian learning of latent variable models
Raiko, Tapani; Valpola, Harri; Harva, Markus; Karhunen, Juha2006 Technical Report on Separation Methods for Nonlinear Mixtures
Jutten, C.; Karhunen, Juha; Almeida, L.; Harmeling, S.2003 Final Technical Report on BSS Models and Methods for Non-Independent BSS
Karhunen, Juha; Meinecke, F.; Valpola, H.; Ziehe, A.2003 Final Technical Report on Linear ICA
Pham, D.-T.; Ziehe, A.; Karhunen, Juha; Jutten, C.2003 A Complexity Minimization Approach for Estimating Fading Gaussian Channel in CDMA Communications
Cristescu, Razvan; Joutsensalo, J.; Karhunen, J.; Oja, E.2000 Delay Estimation in CDMA Communications Using A FastICA Algorithm
Cristescu, Razvan; Ristaniemi, T.; Joutsensalo, J.; Karhunen, J.2000 Nonlinear Source Separation Using Ensemble Learning and MLP Networks
Lappalainen, H.; Honkela, A.; Giannakopoulos, X.; Karhunen, J.2000 Nonlinear Independent Component Analysis Using Ensemble Learning: Experiments and Discussion
Valpola, Harri; Giannakopoulos, X.; Honkela, A.; Karhunen, J.2000 A Comparison of Neural ICA Algorithms using Real-World Data
Giannakopoulos, X.; Karhunen, J.; Oja, E.1999 Local Independent Component Analysis Using Clustering
Karhunen, J.; Malaroiu, S.1999 Locally Linear Independent Component Analysis
Karhunen, J.; Malaroiu, S.1999 Neural Networks for Blind Separation with Unknown Number of Sources
Cichocki, A.; Karhunen, J.; Kasprzak, W.; Vigário, R.1998 An Experimental Comparison of Neural ICA Algorithms
Giannakopoulos, X.; Karhunen, J.; Oja, E.1998 Blind Source Separation Using Least-Squares Type Adaptive Algorithms
Karhunen, J.; Pajunen, P.1997 Self-Organizing Maps for Independent Component Analysis
Pajunen, P.; Karhunen, J.1997 Image Feature Extraction Using Independent Component Analysis
Hurri, J.; Hyvärinen, A.; Karhunen, J.; Oja, E.1996 A Class of Neural Networks for Independent Component Analysis
Karhunen, J.; Oja, E.; Wang, L.; Vigario, R.; Joutsensalo, J.1995 Nonlinear Multilayer Principal Component Type Subspace Learning Algorithms
Joutsensalo, J.; Karhunen, J.1993 Representation and Separation of Signals Using Nonlinear PCA Type Learning
Karhunen, J.; Joutsensalo, J.1993 Nonlinear PCA: Algorithms and Applications
Oja, E.; Karhunen, J.1993
Natural Conjugate Gradient in Variational Inference
Honkela, Antti; Tornio, Matti; Raiko, Tapani; Karhunen, Juha
2007 Building blocks for variational Bayesian learning of latent variable models
Raiko, Tapani; Valpola, Harri; Harva, Markus; Karhunen, Juha
2006 Technical Report on Separation Methods for Nonlinear Mixtures
Jutten, C.; Karhunen, Juha; Almeida, L.; Harmeling, S.
2003 Final Technical Report on BSS Models and Methods for Non-Independent BSS
Karhunen, Juha; Meinecke, F.; Valpola, H.; Ziehe, A.
2003 Final Technical Report on Linear ICA
Pham, D.-T.; Ziehe, A.; Karhunen, Juha; Jutten, C.
2003 A Complexity Minimization Approach for Estimating Fading Gaussian Channel in CDMA Communications
Cristescu, Razvan; Joutsensalo, J.; Karhunen, J.; Oja, E.
2000 Delay Estimation in CDMA Communications Using A FastICA Algorithm
Cristescu, Razvan; Ristaniemi, T.; Joutsensalo, J.; Karhunen, J.
2000 Nonlinear Source Separation Using Ensemble Learning and MLP Networks
Lappalainen, H.; Honkela, A.; Giannakopoulos, X.; Karhunen, J.
2000 Nonlinear Independent Component Analysis Using Ensemble Learning: Experiments and Discussion
Valpola, Harri; Giannakopoulos, X.; Honkela, A.; Karhunen, J.
2000 A Comparison of Neural ICA Algorithms using Real-World Data
Giannakopoulos, X.; Karhunen, J.; Oja, E.
1999 Local Independent Component Analysis Using Clustering
Karhunen, J.; Malaroiu, S.
1999 Locally Linear Independent Component Analysis
Karhunen, J.; Malaroiu, S.
1999 Neural Networks for Blind Separation with Unknown Number of Sources
Cichocki, A.; Karhunen, J.; Kasprzak, W.; Vigário, R.
1998 An Experimental Comparison of Neural ICA Algorithms
Giannakopoulos, X.; Karhunen, J.; Oja, E.
1998 Blind Source Separation Using Least-Squares Type Adaptive Algorithms
Karhunen, J.; Pajunen, P.
1997 Self-Organizing Maps for Independent Component Analysis
Pajunen, P.; Karhunen, J.
1997 Image Feature Extraction Using Independent Component Analysis
Hurri, J.; Hyvärinen, A.; Karhunen, J.; Oja, E.
1996 A Class of Neural Networks for Independent Component Analysis
Karhunen, J.; Oja, E.; Wang, L.; Vigario, R.; Joutsensalo, J.
1995 Nonlinear Multilayer Principal Component Type Subspace Learning Algorithms
Joutsensalo, J.; Karhunen, J.
1993 Representation and Separation of Signals Using Nonlinear PCA Type Learning
Karhunen, J.; Joutsensalo, J.
1993 Nonlinear PCA: Algorithms and Applications
Oja, E.; Karhunen, J.
1993 Read about executive education
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