Jouko Lampinen
Dean, Science at Aalto University School of Business
Biography
Aalto University School of Business
Peer-reviewed scientific articles
Journal article-refereed, Original researchHidden sources of joy, fear, and sadness Explicit versus implicit neural processing of musical emotions
Bogert, Brigitte; Numminen-Kontti, Taru; Gold, Benjamin; Sams, Mikko; Numminen, Jussi; Burunat, Iballa; Lampinen, Jouko; Brattico, Elvira2016 in NEUROPSYCHOLOGIA (Elsevier Limited)ISSN: 0028-3932Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment
Lehtomäki, Matti; Jaakkola, Anttoni; Hyyppä, Juha; Lampinen, Jouko; Kaartinen, Harri; Kukko, Antero; Puttonen, Eetu; Hyyppä, Hannu2016 in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC)ISSN: 0196-2892Discrete neural signatures of basic emotions
Saarimäki, Heini; Gotsopoulos, Athanasios; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vuilleumier, Patrik; Hari, Riitta; Sams, Mikko; Nummenmaa, Lauri2016 in CEREBRAL CORTEX (OXFORD UNIV PRESS INC)ISSN: 1047-3211Posterior parietal cortex activity reflects the significance of others' actions during natural viewing
Salmi, J.; Glerean, E.; Jääskeläinen, I.P.; Lahnakoski, J.M.; Kettunen, J.; Lampinen, J.; Tikka, P.; Sams, M.2014 in HUMAN BRAIN MAPPING (Wiley-Liss Inc.)ISSN: 1065-9471Two-Stage Processing of Sounds Explains Behavioral Performance Variations due to Changes in Stimulus Contrast and Selective Attention: An MEG Study
Kauramaki, Jaakko; Jaaskelainen, Iiro P.; Hanninen, Jarno L.; Auranen, Toni; Nummenmaa, Aapo; Lampinen, Jouko; Sams, Mikko2012 in PLOS ONE (PUBLIC LIBRARY SCIENCE)Stimulus-related independent component and voxel-wise analysis of human brain activity during free viewing of a feature film.
Lahnakoski, Juha M; Salmi, Juha; Jääskeläinen, Iiro P.; Lampinen, Jouko; Glerean, Enrico; Tikka, Pia; Sams, Mikko2012 in PLOS ONE (PUBLIC LIBRARY SCIENCE)ISSN: 1932-6203State space regularization in the nonstationary inverse problem for diffuse optical tomography
Hiltunen, P.; Särkkä, S.; Nissilä, I.; Lajunen, A.; Lampinen, J.2011 in Inverse Problems (IOP PUBLISHING LTD)ISSN: 0266-5611Incremental object matching and detection with Bayesian methods and particle filters
Toivanen, M.; Lampinen, J.2011 in IET COMPUTER VISION (Institution of Engineering and Technology)ISSN: 1751-9632Automatic fMRI-guided MEG multidipole localization for visual responses
Auranen, Toni; Nummenmaa, Aapo; Vanni, Simo; Vehtari, Aki; Hämäläinen, Matti S.; Lampinen, Jouko; Jääskeläinen, Iiro P.2009 in HUMAN BRAIN MAPPING (Wiley-Liss Inc.)ISSN: 1065-9471Modeling of Subjective Responses to Indoor Air Quality and Thermal Conditions in Office Buildings
Kostiainen, T.; Welling, I.; Lahtinen, M.; Salmi, K.; Kähkonen, E.; Lampinen, J.2008 in HVAC & R Research (Taylor & Francis, Inc.)ISSN: 1078-9669Bayesian inverse analysis of neuromagnetic data using cortically constrained multiple dipoles
Auranen, Toni; Nummenmaa, Aapo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vehtari, Aki; Sams, Mikko2007 in HUMAN BRAIN MAPPING (Wiley-Liss Inc.)ISSN: 1065-9471On steerability of Gabor-type filters for feature detection
Kalliomäki, Ilkka; Lampinen, Jouko2007 in PATTERN RECOGNITION LETTERS (Elsevier)ISSN: 0167-8655Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods
Nummenmaa, Aapo; Auranen, Toni; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Sams, Mikko; Vehtari, Aki2007 in NEUROIMAGE (ACADEMIC PRESS INC ELSEVIER SCIENCE)ISSN: 1053-8119Automatic relevance-determination based on hierarchical Bayesian MEG inversion in practice
Nummenmaa, Aapo; Auranen, Toni; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Sams, Mikko; Vehtari, Aki; Lampinen, Jouko2007 in NEUROIMAGE (ACADEMIC PRESS INC ELSEVIER SCIENCE)ISSN: 1053-8119Rao-Blackwellized Particle Filter for Multiple Target Tracking
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko2007 in INFORMATION FUSION (Elsevier)ISSN: 1566-2535CATS benchmark time series prediction by Kalman smoother with cross-validated noise density
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko2007 in NEUROCOMPUTING (Elsevier Science B.V.)ISSN: 0925-2312Sequential Monte Carlo for Bayesian matching of objects with occlusions
Tamminen, Toni; Lampinen, Jouko2006 in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (IEEE COMPUTER SOC)ISSN: 0162-8828Bayesian analysis of the neuromagnetic inverse problem with l^p -norm priors
Auranen, Toni; Nummenmaa, Aapo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vehtari, Aki; Sams, Mikko2005 in NEUROIMAGE (ACADEMIC PRESS INC ELSEVIER SCIENCE)ISSN: 1053-8119Shape analysis of concrete aggregates for statistical quality modeling
Kalliomäki, Ilkka; Vehtari, Aki; Lampinen, Jouko2005 in MACHINE VISION AND APPLICATIONS (Springer Verlag)ISSN: 0932-8092Reversible jump MCMC for two-state multivariate poisson mixtures
Lahtinen, Jani; Lampinen, Jouko2003 in Kybernetika (Academy of Sciences of the Czech Republic)ISSN: 0023-5954Building spatial models from aggregate data
Orpana, Tommi; Lampinen, Jouko2003 in JOURNAL OF REGIONAL SCIENCE (Wiley-Blackwell)ISSN: 0022-4146On the Generative Probability Density Model in the Self-Organizing Map
Kostiainen, Timo; Lampinen, Jouko2002 in NEUROCOMPUTING (Elsevier Science B.V.)ISSN: 0925-2312Bayesian model assessment and comparison using cross-validation predictive densities
Vehtari, Aki; Lampinen, Jouko2002 in NEURAL COMPUTATION (MIT PRESS)ISSN: 0899-7667Bayesian Approach for Neural Networks - Review and Case Studies
Lampinen, Jouko; Vehtari, Aki2001 in NEURAL NETWORKS (PERGAMON-ELSEVIER SCIENCE LTD)ISSN: 0893-6080Improved neuron MOS-transistor structures for integrated neural network circuits
Rantala, A.; Franssila, S.; Kaski, K.; Lampinen, J.; Åberg, M.; Kuivalainen, P.2001 in IEE Proceedings - Circuits, Devices and Systems (Institute of Electrical Engineers)ISSN: 1350-2409Temporal Kohonen Map and the Recurrent Self-Organizing Map: Analytical and experimental comparison
Varsta, Markus; Heikkonen, Jukka; Lampinen, Jouko; Millán, José del R.2001 in NEURAL PROCESSING LETTERS (Springer Netherlands)ISSN: 1370-4621Bayesian MLP neural networks for image analysis.
Vehtari, Aki; Lampinen, Jouko2000 in PATTERN RECOGNITION LETTERS (Elsevier)ISSN: 0167-8655High-precision neuron MOSFET structures
Rantala, A.; Franssila, S.; Kaski, K.; Lampinen, J.; Åberg, M.; Kuivalainen, P.1999 in ELECTRONICS LETTERS (Institution of Engineering and Technology)ISSN: 0013-5194Real time indoor air monitoring system and analysis method
Welling, Irma; Kähkönen, Erkki; Lahtinen, Marjaana; Valkonen, Jyrki; Lampinen, Jouko; Varsta, Markus; Kostiainen, Timo1999 in AMERICAN JOURNAL OF INDUSTRIAL MEDICINE (Wiley-Liss Inc.)ISSN: 0271-3586Self-organizing Feature Extraction in Recognition of Wood Surface Defects and Color Images
Lampinen, Jouko; Smolander, Seppo1996 in INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (World Scientific Publishing Co. Pte Ltd)ISSN: 0218-0014Distortion Tolerant Pattern Recognition Based on Self-Organizing Feature Extraction
Lampinen, Jouko; Oja, Erkki1995 in IEEE TRANSACTIONS ON NEURAL NETWORKS (IEEE Computational Intelligence Society)Clustering properties of hierarchical self-organizing maps
Lampinen, Jouko; Oja, Erkki1992 in JOURNAL OF MATHEMATICAL IMAGING AND VISION (Springer Netherlands)ISSN: 0924-9907Book section, Chapters in research booksApproximate steerability of Gabor filters for feature detection
Kalliomäki, I.; Lampinen, J.2005 in Lecture Notes in Computer Science (Springer Berlin Heidelberg)ISBN: 978-3-540-26320-3ISSN: 0302-9743Joint modeling of facial expression and shape from video
Tamminen, T.; Kätsyri, J.; Frydrych, M.; Lampinen, J.2005 in Lecture Notes in Computer Science (Springer Berlin Heidelberg)ISBN: 978-3-540-26320-3ISSN: 0302-9743Modeling of pose effects in oriented filter responses for head pose estimation
Kalliomäki, Ilkka; Lampinen, Jouko2003 in LECTURE NOTES IN COMPUTER SCIENCE (Springer Berlin Heidelberg)ISBN: 978-3-540-40601-3ISSN: 0302-9743Learning an Object Model for Feature Matching in Clutter
Tamminen, Toni; Lampinen, Jouko2003 in Lecture Notes in Computer Science (Springer Berlin Heidelberg)ISBN: 978-3-540-40601-3ISSN: 0302-9743Bayesian object matching with hierarchical priors and Markov chain Monte Carlo
Tamminen, Toni; Lampinen, Jouko2003 ISBN: 0-19-852615-6Expected utility estimation via cross-validation
Vehtari, Aki; Lampinen, Jouko2003 ISBN: 0-19-852615-6Generative Probability Density Model in the Self-Organizing Map
Lampinen, Jouko; Kostiainen, Timo2002 Neljännesvuosisata Hatutusta: Hahmontunnistustutkimus Suomessa 1977-2002
Lampinen, Jouko; Vehtari, Aki2002 Bayesian neural networks: Case studies in industrial applications.
Vehtari, Aki; Lampinen, Jouko2000 ISBN: 978-1-4471-1155-9Pattern Recognition
Lampinen, J.; Laaksonen, J.; Oja, E.1998 Pattern reocognition
Lampinen, J.; Laakkonen, J.; Oja, E.1998 Wood surface inspection system based on generic visual features
Lampinen, J.; Smolander, S.; Korhonen, M.1998 Conference proceedingsIncremental object matching with Bayesian methods and particle filters
Toivanen, Miika; Lampinen, Jouko2009 ISBN: 978-1-4244-5297-2Bayesian online learning of corresponding points of objects with sequential Monte Carlo
Toivanen, Miika; Lampinen, Jouko2009 ISSN: 2070-3821Incremental Bayesian learning of feature points from natural images
Toivanen, Miika; Lampinen, Jouko2009 in IEEE Conference on Computer Vision and Pattern Recognition (IEEE Computer Society)ISBN: 978-1-4244-3994-2ISSN: 2160-7508Prediction of ESTSP Competition Time Series by Unscented Kalman Filter and RTS Smoother
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko2007 Probabilistic image segmentation for low-level map building in robot navigation.
Kostiainen, Timo; Lampinen, Jouko2004 Efficient proposal distributions for MCMC image segmentation.
Kostiainen, Timo; Lampinen, Jouko2004 in IEEE International Conference on Image Processing ICIP (IEEE)ISBN: 0-7803-8554-3 ISSN: 1522-4880Time series prediction by Kalman smoother with cross validated noise density
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko2004 in IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE)ISBN: 0-7803-8359-1ISSN: 1098-7576Rao-Blackwellized Monte Carlo Data Association for Multiple Target Tracking
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko2004 A Bayesian Occlusion Model for Sequential Object matching
Tamminen, Toni; Lampinen, Jouko2004 Bayesian object matching with Markov chain and sequential Monte Carlo
Tamminen, Toni; Lampinen, Jouko2004 Feature-based Inference of Human Head Shapes
Kalliomäki, Ilkka; Lampinen, Jouko2002 Face matching with learned object priors
Tamminen, Toni; Lampinen, Jouko2002 Modeling of audiovisual speech perception in noise.
Andersen, Tobias; Tiippana, Kaisa; Lampinen, Jouko; Sams, Mikko2001 3D Object Recognition Based on Hierarchical Eigen-Shapes and Bayesian Inference
Kostiainen, Timo; Kalliomäki, Ilkka; Tamminen, Toni; Lampinen, Jouko2001 in Proceedings of SPIE (SPIE - The International Society for Optical Engineering)ISBN: 0-8194-4300-XISSN: 0277-786XSelf-Organizing Map as a Probability Density Model
Kostiainen, Timo; Lampinen, Jouko2001 in IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE)ISBN: 0-7803-7044-9 ISSN: 1098-7576Bayesian object matching based on MCMC sampling and Gabor filters
Lampinen, Jouko; Tamminen, Toni; Kostiainen, Timo; Kalliomäki, Ilkka2001 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society for Optical Engineering)ISBN: 0-8194-4300-XISSN: 0277-786XMaximum likelihood optimization of self-organizing map parameters.
Kostiainen, T.; Lampinen, J.2000 Improved rotational invariance for statistical inverse in electrical impedance tomography.
Lahtinen, Jani; Martinsen, Tomas; Lampinen, Jouko2000 in IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE Computer Society)ISBN: 0-7695-0619-4 ISSN: 1098-7576Self-Organizing Map in data-analysis - notes on overfitting and overinterpretation
Lampinen, J.; Kostiainen, T.2000 Bayesian techniques for neural networks - review and case studies.
Lampinen, J.; Vehtari, A.2000 Radiation spectra of [111]in, [113m]in, and [114m]in.
Stepanek, J.; Ilvonen, S.; Kuronen, A.; Lampinen, J.; Savolainen, S.; Välimäki, P.2000 Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map.
Varsta, M.; Heikkonen, J.; Lampinen, J.2000 Bayesian MLP neural networks - review and case studies.
Vehtari, A.; Lampinen, J.2000 On MCMC sampling in Bayesian MLP neural networks
Vehtari, Aki; Särkkä, Simo; Lampinen, Jouko2000 in IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE Computer Society)ISSN: 1098-7576Comparison of different cell cluster models for cell-level dosimetry.
Välimäki, P.; Lampinen, J.; Kuronen, A.; Ilvonen, S.; Stepanek, J.; Savolainen, S.2000 Modelling of occupants' subjective responses and indoor air quality in office buildings.
Welling, I.; Kähkönen, E.; Lahtinen, M.; Salmi, K.; Lampinen, J.; Kostiainen, T.2000 ISBN: 951-802-364-6Building industrial applications with neural networks
Heikkonen, J.; Lampinen, J.1999 Cluster models in cellular level electron dose calculations
Kuronen, A.; Lampinen, J.; Välimäki, P.; Stepanek, J.; Savolainen, S.1999 Bayesian Neural Network to Solve the Inverse Problem in Electrical Impedance Tomography
Lampinen, J.; Vehtari, A.; Leinonen, K.1999 Overtraining and model selection with the self-organizing map
Lampinen, J.; Kostiainen, T.1999 Application of Bayesian Neural Network in Electrical Impedance Tomography
Lampinen, J.; Vehtari, A.; Leinonen, K.1999 Selection of training samples for learning with hints
Lampinen, J.; Litkey, P.; Hakkarainen, H.1999 Bayesian Neural Networks with Correlating Residuals
Vehtari, A.; Lampinen, J.1999 Bayesian Neural Networks for Industrial Applications
Vehtari, A.; Lampinen, J.1999 Bayesian Neural Networks for Image Analysis
Vehtari, A.; Lampinen, J.1999 Bayesian Neural Networks with Correlating Residuals
Vehtari, A.; Lampinen, J.1999 Digital image based tree measurement for forest inventory
Juujarvi, Jouni; Heikkonen, Jukka; Brandt, Sami; Lampinen, Jouko1998 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society for Optical Engineering)ISBN: 0-8194-2983-XISSN: 0277-786XDigital Image based tree measurement for forest industry
Juujärvi, J.; Heikkonen, J.; Brandt, S.; Lampinen, J.1998 Modeling of non-stationary prosecc by modular separation of stability and plasticity
Lampinen, J.1998 Modeling of non-stationary process by modular separation of stability and plasticity
Lampinen, J1998 ISBN: 0-7803-4860-5Temporal sequence processing with the recurrent, self-organizing map
Varsta, M.; Millan, Jose del R.; Heikkonen, J.; Lampinen, J.1998 Using Bayesian neural networks to classify forest scenes
Vehtari, Aki; Heikkonen, Jukka; Lampinen, Jouko; Juujärvi, Jouni1998 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society of Optical Engineering)ISBN: 0-8194-2983-XISSN: 0277-786XForest scene classification: Comparison of classifiers
Vehtari, A.; Juujärvi, J.; Heikkonen, J.; Lampinen, J.1998 Modelling absorbed dose in ideal cell clusters
Kuronen, A.; Lampinen, J.; Stepanek, J.; Savolainen, S.1997 Using Background Knowledge in Multilayer Perceptron Learning
Lampinen, J.; Selonen, A.1997 ISBN: 951-764-145-1Advances in Neural Network Modeling
Lampinen, J.1997 Variable Threshold (MOS) - Transistor for Integrated Neural Network Circuits
Rantala, A.; Franssila, S.; Kaski, K.; Lampinen, J.; Åberg, M.1997 Variable Treshold MOS-Transistors for Integrated Neural Network Circuits
Rantala, A.; Franssila, K.; Kaski, Kimmo; Lampinen, J.; Åberg, M.; Kuivalainen, P.1997 Experiments on Regularizing (MLP) Models with Background Knowledge
Selonen, A.; Lampinen, J.1997 Determining the Optimal Structure for Multilayer Self-Organizing Map with Genetic Algorithm
Smolander, S.; Lampinen, J.1997 Estimating Internal Patient Dose Using a Flexible Anatomical Phantom Based Computer Program
Kuronen, A.; Lampinen, J.; Aschan, C.; Kairemo, K.; Korppi-Tommola, T.; Savolainen, S.1996 Using Background Knowledge in Neural Network Learning
Selonen, A.; Lampinen, J.; Ikonen, L.1996 Using External Knowledge in Neural Network Models
Selonen, Arto; Lampinen, Jouko; Ikonen, Leena1996 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society for Optical Engineering)ISBN: 0-8194-2306-8Multilayer perceptron training with inaccurate derivative information
Lampinen, Jouko; Selonen, Arto1995 ISBN: 0-7803-2769-1OPTIMIZATION AND SIMULATION OF QUALITY PROPERTIES IN PAPER MACHINE WITH NEURAL NETWORKS
Lampinen, J; Taipale, O1994 ISBN: 0-7803-1901-XWOOD DEFECT RECOGNITION WITH SELF-ORGANIZING FEATURE SELECTION
Lampinen, J; Smolander, S1994 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (Spie-int Soc Optical Engineering)ISBN: 0-8194-1688-6Feature Extraction by Unsupervised Learning
Oja, E.; Lampinen, J.1994 Unsupervised Learning for Feature Extraction
Oja, E.; Lampinen, J.1994 ON CLUSTERING PROPERTIES OF HIERARCHICAL SELF-ORGANIZING MAPS
Lampinen, J.1992 ISBN: 0-444-89488-8Feature extractor giving distortion invariant hierarchical feature space
Lampinen, Jouko1991 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society for Optical Engineering)ISBN: 0819405787DISTORTION TOLERANT PATTERN-RECOGNITION USING INVARIANT TRANSFORMATIONS AND HIERARCHICAL SOFM CLUSTERING
Lampinen, J1991 ISBN: 0-444-89178-1DISTORTION TOLERANT FEATURE-EXTRACTION WITH GABOR FUNCTIONS AND TOPOLOGICAL CODING
Lampinen, J.; Oja, E.1990 ISBN: 0-7923-0831-XProjection filters for image and signal restoration
Ogawa, H.; Oja, E.; Lampinen, J.1989 Scientific books (monographs)
Book (editor)Advances in Independent Component Analysis and Learning Machines
Bingham, Ella; Kaski, Samuel; Laaksonen, Jorma; Lampinen, Jouko2015 ISBN: 9780128028063Publications intended for professional communities
Published development or research reportAuditory attention can decrease sharpness of population-level frequency tuning in the human auditory cortex
Kauramäki, Jaakko; Jääskeläinen, Iiro P.; Hänninen, Jarno L.; Auranen, Toni; Lampinen, Jouko; Sams, Mikko2009 Auditory attention decreases sharpness of frequency tuning in the human auditory cortex
Kauramäki, Jaakko; Jääskeläinen, Iiro P.; Hänninen, Jarno L.; Auranen, Toni; Lampinen, Jouko; Sams, Mikko2009 Automatic fMRI-guided MEG multidipole localization for visual responses.
Auranen, T.; Nummenmaa, A.; Vanni, S.; Vehtari, A.; Hämäläinen, M.S.; Lampinen, J.; Jääskeläinen, I.P.2007 Sparse MEG inverse solutiona via hierarchical Bayesian modeling: Evaluation with a parallel fMRI study
Nummenmaa, Aapo; Auranen, Toni; Vanni, Simo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vehtari, Aki; Sams, Mikko2007 Cortically constrained neuromagnitic inverse analysis: structure of Bayesian multidipolar solutions and effects of MEG-MRI coregistration error
Auranen, Toni; Nummenmaa, Aapo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vehtari, Aki; Sams, Mikko2006 Inverse estimates of basic auditory and visual MEG responses by hierarchical Variational Bayesian approach
Nummenmaa, Aapo; Auranen, Toni; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Sams, Mikko; Vehtari, Aki2006 Approximate Steerability of Gabor Filters for Feature Detection
Kalliomäki, Ilkka; Lampinen, Jouko2005 Rao-Blackwellized Particle Filter for Tracking Unknown Number of Targets in Clutter
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko2005 Sequential Monte Carlo for Bayesian matching of objects with occlusions
Tamminen, Toni; Lampinen, Jouko2005 Full Bayesian Analysis of the MEG Inverse Problem with 1 p-norm Priors.
Auranen, T.; Nummenmaa, A.; Hämäläinen, M.S.; Jääskeläinen, I.P.; Lampinen, J.; Vehtari, A.; Sams, M.2004 A Hierarchical Bayesian Approach in distributed MEG source Modelling
Nummenmaa, A.; Auranen, T.; Hämäläinen, M.S.; Jääskeläinen, I.P.; Lampinen, J.; Sams, M.; Vehtari, A.2004 Probabilistic methods in multiple target tracking - Review and bibliography
Särkkä, Simo; Tamminen, Toni; Vehtari, Aki; Lampinen, Jouko2004 Model selection via predictive explanatory power
Vehtari, Aki; Lampinen, Jouko2004 Brain Oscillatory responses During an Audiovisual Memory Task - a MEG study
Krause, Christina; Möttönen, Riikka; Auranen, Toni; Tiippana, Kaisa; Lampinen, Jouko; Sams, Mikko2002 Bayesian Input Variable Selection Using Posterior Probabilities and Expected Utilities
Vehtari, Aki; Lampinen, Jouko2002 Bayesian Input Variable Selection Using Cross-Validation Predictive Densities and Reversible Jump MCMC
Vehtari, Aki; Lampinen, Jouko2001 Bayesian model assesment and comparison using cross-validation predictive densities
Vehtari, Aki; Lampinen, Jouko2001 Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
Vehtari, Aki; Lampinen, Jouko2001 On Bayesian Model Asessment and Choice Using Cross-Validation Predictive Densities
Vehtari, Aki; Lampinen, Jouko2001 The Effect of Cluster Model in Cellular Level Dose Calculations
Lampinen, J.; Kuronen, A.; Välimäki, P.; Savolainen, S.1999 Neural Network Systems, Techniques and Applications in Pattern Recognition
Lampinen, J.; Laaksonen, J.; Oja, E.1997
Hidden sources of joy, fear, and sadness Explicit versus implicit neural processing of musical emotions
Bogert, Brigitte; Numminen-Kontti, Taru; Gold, Benjamin; Sams, Mikko; Numminen, Jussi; Burunat, Iballa; Lampinen, Jouko; Brattico, Elvira
2016 in NEUROPSYCHOLOGIA (Elsevier Limited)ISSN: 0028-3932
Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment
Lehtomäki, Matti; Jaakkola, Anttoni; Hyyppä, Juha; Lampinen, Jouko; Kaartinen, Harri; Kukko, Antero; Puttonen, Eetu; Hyyppä, Hannu
2016 in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC)ISSN: 0196-2892
Discrete neural signatures of basic emotions
Saarimäki, Heini; Gotsopoulos, Athanasios; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vuilleumier, Patrik; Hari, Riitta; Sams, Mikko; Nummenmaa, Lauri
2016 in CEREBRAL CORTEX (OXFORD UNIV PRESS INC)ISSN: 1047-3211
Posterior parietal cortex activity reflects the significance of others' actions during natural viewing
Salmi, J.; Glerean, E.; Jääskeläinen, I.P.; Lahnakoski, J.M.; Kettunen, J.; Lampinen, J.; Tikka, P.; Sams, M.
2014 in HUMAN BRAIN MAPPING (Wiley-Liss Inc.)ISSN: 1065-9471
Two-Stage Processing of Sounds Explains Behavioral Performance Variations due to Changes in Stimulus Contrast and Selective Attention: An MEG Study
Kauramaki, Jaakko; Jaaskelainen, Iiro P.; Hanninen, Jarno L.; Auranen, Toni; Nummenmaa, Aapo; Lampinen, Jouko; Sams, Mikko
2012 in PLOS ONE (PUBLIC LIBRARY SCIENCE)Stimulus-related independent component and voxel-wise analysis of human brain activity during free viewing of a feature film.
Lahnakoski, Juha M; Salmi, Juha; Jääskeläinen, Iiro P.; Lampinen, Jouko; Glerean, Enrico; Tikka, Pia; Sams, Mikko
2012 in PLOS ONE (PUBLIC LIBRARY SCIENCE)ISSN: 1932-6203
State space regularization in the nonstationary inverse problem for diffuse optical tomography
Hiltunen, P.; Särkkä, S.; Nissilä, I.; Lajunen, A.; Lampinen, J.
2011 in Inverse Problems (IOP PUBLISHING LTD)ISSN: 0266-5611
Incremental object matching and detection with Bayesian methods and particle filters
Toivanen, M.; Lampinen, J.
2011 in IET COMPUTER VISION (Institution of Engineering and Technology)ISSN: 1751-9632
Automatic fMRI-guided MEG multidipole localization for visual responses
Auranen, Toni; Nummenmaa, Aapo; Vanni, Simo; Vehtari, Aki; Hämäläinen, Matti S.; Lampinen, Jouko; Jääskeläinen, Iiro P.
2009 in HUMAN BRAIN MAPPING (Wiley-Liss Inc.)ISSN: 1065-9471
Modeling of Subjective Responses to Indoor Air Quality and Thermal Conditions in Office Buildings
Kostiainen, T.; Welling, I.; Lahtinen, M.; Salmi, K.; Kähkonen, E.; Lampinen, J.
2008 in HVAC & R Research (Taylor & Francis, Inc.)ISSN: 1078-9669
Bayesian inverse analysis of neuromagnetic data using cortically constrained multiple dipoles
Auranen, Toni; Nummenmaa, Aapo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vehtari, Aki; Sams, Mikko
2007 in HUMAN BRAIN MAPPING (Wiley-Liss Inc.)ISSN: 1065-9471
On steerability of Gabor-type filters for feature detection
Kalliomäki, Ilkka; Lampinen, Jouko
2007 in PATTERN RECOGNITION LETTERS (Elsevier)ISSN: 0167-8655
Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods
Nummenmaa, Aapo; Auranen, Toni; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Sams, Mikko; Vehtari, Aki
2007 in NEUROIMAGE (ACADEMIC PRESS INC ELSEVIER SCIENCE)ISSN: 1053-8119
Automatic relevance-determination based on hierarchical Bayesian MEG inversion in practice
Nummenmaa, Aapo; Auranen, Toni; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Sams, Mikko; Vehtari, Aki; Lampinen, Jouko
2007 in NEUROIMAGE (ACADEMIC PRESS INC ELSEVIER SCIENCE)ISSN: 1053-8119
Rao-Blackwellized Particle Filter for Multiple Target Tracking
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko
2007 in INFORMATION FUSION (Elsevier)ISSN: 1566-2535
CATS benchmark time series prediction by Kalman smoother with cross-validated noise density
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko
2007 in NEUROCOMPUTING (Elsevier Science B.V.)ISSN: 0925-2312
Sequential Monte Carlo for Bayesian matching of objects with occlusions
Tamminen, Toni; Lampinen, Jouko
2006 in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (IEEE COMPUTER SOC)ISSN: 0162-8828
Bayesian analysis of the neuromagnetic inverse problem with l^p -norm priors
Auranen, Toni; Nummenmaa, Aapo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vehtari, Aki; Sams, Mikko
2005 in NEUROIMAGE (ACADEMIC PRESS INC ELSEVIER SCIENCE)ISSN: 1053-8119
Shape analysis of concrete aggregates for statistical quality modeling
Kalliomäki, Ilkka; Vehtari, Aki; Lampinen, Jouko
2005 in MACHINE VISION AND APPLICATIONS (Springer Verlag)ISSN: 0932-8092
Reversible jump MCMC for two-state multivariate poisson mixtures
Lahtinen, Jani; Lampinen, Jouko
2003 in Kybernetika (Academy of Sciences of the Czech Republic)ISSN: 0023-5954
Building spatial models from aggregate data
Orpana, Tommi; Lampinen, Jouko
2003 in JOURNAL OF REGIONAL SCIENCE (Wiley-Blackwell)ISSN: 0022-4146
On the Generative Probability Density Model in the Self-Organizing Map
Kostiainen, Timo; Lampinen, Jouko
2002 in NEUROCOMPUTING (Elsevier Science B.V.)ISSN: 0925-2312
Bayesian model assessment and comparison using cross-validation predictive densities
Vehtari, Aki; Lampinen, Jouko
2002 in NEURAL COMPUTATION (MIT PRESS)ISSN: 0899-7667
Bayesian Approach for Neural Networks - Review and Case Studies
Lampinen, Jouko; Vehtari, Aki
2001 in NEURAL NETWORKS (PERGAMON-ELSEVIER SCIENCE LTD)ISSN: 0893-6080
Improved neuron MOS-transistor structures for integrated neural network circuits
Rantala, A.; Franssila, S.; Kaski, K.; Lampinen, J.; Åberg, M.; Kuivalainen, P.
2001 in IEE Proceedings - Circuits, Devices and Systems (Institute of Electrical Engineers)ISSN: 1350-2409
Temporal Kohonen Map and the Recurrent Self-Organizing Map: Analytical and experimental comparison
Varsta, Markus; Heikkonen, Jukka; Lampinen, Jouko; Millán, José del R.
2001 in NEURAL PROCESSING LETTERS (Springer Netherlands)ISSN: 1370-4621
Bayesian MLP neural networks for image analysis.
Vehtari, Aki; Lampinen, Jouko
2000 in PATTERN RECOGNITION LETTERS (Elsevier)ISSN: 0167-8655
High-precision neuron MOSFET structures
Rantala, A.; Franssila, S.; Kaski, K.; Lampinen, J.; Åberg, M.; Kuivalainen, P.
1999 in ELECTRONICS LETTERS (Institution of Engineering and Technology)ISSN: 0013-5194
Real time indoor air monitoring system and analysis method
Welling, Irma; Kähkönen, Erkki; Lahtinen, Marjaana; Valkonen, Jyrki; Lampinen, Jouko; Varsta, Markus; Kostiainen, Timo
1999 in AMERICAN JOURNAL OF INDUSTRIAL MEDICINE (Wiley-Liss Inc.)ISSN: 0271-3586
Self-organizing Feature Extraction in Recognition of Wood Surface Defects and Color Images
Lampinen, Jouko; Smolander, Seppo
1996 in INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (World Scientific Publishing Co. Pte Ltd)ISSN: 0218-0014
Distortion Tolerant Pattern Recognition Based on Self-Organizing Feature Extraction
Lampinen, Jouko; Oja, Erkki
1995 in IEEE TRANSACTIONS ON NEURAL NETWORKS (IEEE Computational Intelligence Society)Clustering properties of hierarchical self-organizing maps
Lampinen, Jouko; Oja, Erkki
1992 in JOURNAL OF MATHEMATICAL IMAGING AND VISION (Springer Netherlands)ISSN: 0924-9907
Approximate steerability of Gabor filters for feature detection
Kalliomäki, I.; Lampinen, J.
2005 in Lecture Notes in Computer Science (Springer Berlin Heidelberg)ISBN: 978-3-540-26320-3
ISSN: 0302-9743
Joint modeling of facial expression and shape from video
Tamminen, T.; Kätsyri, J.; Frydrych, M.; Lampinen, J.
2005 in Lecture Notes in Computer Science (Springer Berlin Heidelberg)ISBN: 978-3-540-26320-3
ISSN: 0302-9743
Modeling of pose effects in oriented filter responses for head pose estimation
Kalliomäki, Ilkka; Lampinen, Jouko
2003 in LECTURE NOTES IN COMPUTER SCIENCE (Springer Berlin Heidelberg)ISBN: 978-3-540-40601-3
ISSN: 0302-9743
Learning an Object Model for Feature Matching in Clutter
Tamminen, Toni; Lampinen, Jouko
2003 in Lecture Notes in Computer Science (Springer Berlin Heidelberg)ISBN: 978-3-540-40601-3
ISSN: 0302-9743
Bayesian object matching with hierarchical priors and Markov chain Monte Carlo
Tamminen, Toni; Lampinen, Jouko
2003 ISBN: 0-19-852615-6
Expected utility estimation via cross-validation
Vehtari, Aki; Lampinen, Jouko
2003 ISBN: 0-19-852615-6
Generative Probability Density Model in the Self-Organizing Map
Lampinen, Jouko; Kostiainen, Timo
2002 Neljännesvuosisata Hatutusta: Hahmontunnistustutkimus Suomessa 1977-2002
Lampinen, Jouko; Vehtari, Aki
2002 Bayesian neural networks: Case studies in industrial applications.
Vehtari, Aki; Lampinen, Jouko
2000 ISBN: 978-1-4471-1155-9
Pattern Recognition
Lampinen, J.; Laaksonen, J.; Oja, E.
1998 Pattern reocognition
Lampinen, J.; Laakkonen, J.; Oja, E.
1998 Wood surface inspection system based on generic visual features
Lampinen, J.; Smolander, S.; Korhonen, M.
1998 Conference proceedingsIncremental object matching with Bayesian methods and particle filters
Toivanen, Miika; Lampinen, Jouko2009 ISBN: 978-1-4244-5297-2Bayesian online learning of corresponding points of objects with sequential Monte Carlo
Toivanen, Miika; Lampinen, Jouko2009 ISSN: 2070-3821Incremental Bayesian learning of feature points from natural images
Toivanen, Miika; Lampinen, Jouko2009 in IEEE Conference on Computer Vision and Pattern Recognition (IEEE Computer Society)ISBN: 978-1-4244-3994-2ISSN: 2160-7508Prediction of ESTSP Competition Time Series by Unscented Kalman Filter and RTS Smoother
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko2007 Probabilistic image segmentation for low-level map building in robot navigation.
Kostiainen, Timo; Lampinen, Jouko2004 Efficient proposal distributions for MCMC image segmentation.
Kostiainen, Timo; Lampinen, Jouko2004 in IEEE International Conference on Image Processing ICIP (IEEE)ISBN: 0-7803-8554-3 ISSN: 1522-4880Time series prediction by Kalman smoother with cross validated noise density
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko2004 in IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE)ISBN: 0-7803-8359-1ISSN: 1098-7576Rao-Blackwellized Monte Carlo Data Association for Multiple Target Tracking
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko2004 A Bayesian Occlusion Model for Sequential Object matching
Tamminen, Toni; Lampinen, Jouko2004 Bayesian object matching with Markov chain and sequential Monte Carlo
Tamminen, Toni; Lampinen, Jouko2004 Feature-based Inference of Human Head Shapes
Kalliomäki, Ilkka; Lampinen, Jouko2002 Face matching with learned object priors
Tamminen, Toni; Lampinen, Jouko2002 Modeling of audiovisual speech perception in noise.
Andersen, Tobias; Tiippana, Kaisa; Lampinen, Jouko; Sams, Mikko2001 3D Object Recognition Based on Hierarchical Eigen-Shapes and Bayesian Inference
Kostiainen, Timo; Kalliomäki, Ilkka; Tamminen, Toni; Lampinen, Jouko2001 in Proceedings of SPIE (SPIE - The International Society for Optical Engineering)ISBN: 0-8194-4300-XISSN: 0277-786XSelf-Organizing Map as a Probability Density Model
Kostiainen, Timo; Lampinen, Jouko2001 in IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE)ISBN: 0-7803-7044-9 ISSN: 1098-7576Bayesian object matching based on MCMC sampling and Gabor filters
Lampinen, Jouko; Tamminen, Toni; Kostiainen, Timo; Kalliomäki, Ilkka2001 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society for Optical Engineering)ISBN: 0-8194-4300-XISSN: 0277-786XMaximum likelihood optimization of self-organizing map parameters.
Kostiainen, T.; Lampinen, J.2000 Improved rotational invariance for statistical inverse in electrical impedance tomography.
Lahtinen, Jani; Martinsen, Tomas; Lampinen, Jouko2000 in IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE Computer Society)ISBN: 0-7695-0619-4 ISSN: 1098-7576Self-Organizing Map in data-analysis - notes on overfitting and overinterpretation
Lampinen, J.; Kostiainen, T.2000 Bayesian techniques for neural networks - review and case studies.
Lampinen, J.; Vehtari, A.2000 Radiation spectra of [111]in, [113m]in, and [114m]in.
Stepanek, J.; Ilvonen, S.; Kuronen, A.; Lampinen, J.; Savolainen, S.; Välimäki, P.2000 Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map.
Varsta, M.; Heikkonen, J.; Lampinen, J.2000 Bayesian MLP neural networks - review and case studies.
Vehtari, A.; Lampinen, J.2000 On MCMC sampling in Bayesian MLP neural networks
Vehtari, Aki; Särkkä, Simo; Lampinen, Jouko2000 in IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE Computer Society)ISSN: 1098-7576Comparison of different cell cluster models for cell-level dosimetry.
Välimäki, P.; Lampinen, J.; Kuronen, A.; Ilvonen, S.; Stepanek, J.; Savolainen, S.2000 Modelling of occupants' subjective responses and indoor air quality in office buildings.
Welling, I.; Kähkönen, E.; Lahtinen, M.; Salmi, K.; Lampinen, J.; Kostiainen, T.2000 ISBN: 951-802-364-6Building industrial applications with neural networks
Heikkonen, J.; Lampinen, J.1999 Cluster models in cellular level electron dose calculations
Kuronen, A.; Lampinen, J.; Välimäki, P.; Stepanek, J.; Savolainen, S.1999 Bayesian Neural Network to Solve the Inverse Problem in Electrical Impedance Tomography
Lampinen, J.; Vehtari, A.; Leinonen, K.1999 Overtraining and model selection with the self-organizing map
Lampinen, J.; Kostiainen, T.1999 Application of Bayesian Neural Network in Electrical Impedance Tomography
Lampinen, J.; Vehtari, A.; Leinonen, K.1999 Selection of training samples for learning with hints
Lampinen, J.; Litkey, P.; Hakkarainen, H.1999 Bayesian Neural Networks with Correlating Residuals
Vehtari, A.; Lampinen, J.1999 Bayesian Neural Networks for Industrial Applications
Vehtari, A.; Lampinen, J.1999 Bayesian Neural Networks for Image Analysis
Vehtari, A.; Lampinen, J.1999 Bayesian Neural Networks with Correlating Residuals
Vehtari, A.; Lampinen, J.1999 Digital image based tree measurement for forest inventory
Juujarvi, Jouni; Heikkonen, Jukka; Brandt, Sami; Lampinen, Jouko1998 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society for Optical Engineering)ISBN: 0-8194-2983-XISSN: 0277-786XDigital Image based tree measurement for forest industry
Juujärvi, J.; Heikkonen, J.; Brandt, S.; Lampinen, J.1998 Modeling of non-stationary prosecc by modular separation of stability and plasticity
Lampinen, J.1998 Modeling of non-stationary process by modular separation of stability and plasticity
Lampinen, J1998 ISBN: 0-7803-4860-5Temporal sequence processing with the recurrent, self-organizing map
Varsta, M.; Millan, Jose del R.; Heikkonen, J.; Lampinen, J.1998 Using Bayesian neural networks to classify forest scenes
Vehtari, Aki; Heikkonen, Jukka; Lampinen, Jouko; Juujärvi, Jouni1998 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society of Optical Engineering)ISBN: 0-8194-2983-XISSN: 0277-786XForest scene classification: Comparison of classifiers
Vehtari, A.; Juujärvi, J.; Heikkonen, J.; Lampinen, J.1998 Modelling absorbed dose in ideal cell clusters
Kuronen, A.; Lampinen, J.; Stepanek, J.; Savolainen, S.1997 Using Background Knowledge in Multilayer Perceptron Learning
Lampinen, J.; Selonen, A.1997 ISBN: 951-764-145-1Advances in Neural Network Modeling
Lampinen, J.1997 Variable Threshold (MOS) - Transistor for Integrated Neural Network Circuits
Rantala, A.; Franssila, S.; Kaski, K.; Lampinen, J.; Åberg, M.1997 Variable Treshold MOS-Transistors for Integrated Neural Network Circuits
Rantala, A.; Franssila, K.; Kaski, Kimmo; Lampinen, J.; Åberg, M.; Kuivalainen, P.1997 Experiments on Regularizing (MLP) Models with Background Knowledge
Selonen, A.; Lampinen, J.1997 Determining the Optimal Structure for Multilayer Self-Organizing Map with Genetic Algorithm
Smolander, S.; Lampinen, J.1997 Estimating Internal Patient Dose Using a Flexible Anatomical Phantom Based Computer Program
Kuronen, A.; Lampinen, J.; Aschan, C.; Kairemo, K.; Korppi-Tommola, T.; Savolainen, S.1996 Using Background Knowledge in Neural Network Learning
Selonen, A.; Lampinen, J.; Ikonen, L.1996 Using External Knowledge in Neural Network Models
Selonen, Arto; Lampinen, Jouko; Ikonen, Leena1996 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society for Optical Engineering)ISBN: 0-8194-2306-8Multilayer perceptron training with inaccurate derivative information
Lampinen, Jouko; Selonen, Arto1995 ISBN: 0-7803-2769-1OPTIMIZATION AND SIMULATION OF QUALITY PROPERTIES IN PAPER MACHINE WITH NEURAL NETWORKS
Lampinen, J; Taipale, O1994 ISBN: 0-7803-1901-XWOOD DEFECT RECOGNITION WITH SELF-ORGANIZING FEATURE SELECTION
Lampinen, J; Smolander, S1994 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (Spie-int Soc Optical Engineering)ISBN: 0-8194-1688-6Feature Extraction by Unsupervised Learning
Oja, E.; Lampinen, J.1994 Unsupervised Learning for Feature Extraction
Oja, E.; Lampinen, J.1994 ON CLUSTERING PROPERTIES OF HIERARCHICAL SELF-ORGANIZING MAPS
Lampinen, J.1992 ISBN: 0-444-89488-8Feature extractor giving distortion invariant hierarchical feature space
Lampinen, Jouko1991 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society for Optical Engineering)ISBN: 0819405787DISTORTION TOLERANT PATTERN-RECOGNITION USING INVARIANT TRANSFORMATIONS AND HIERARCHICAL SOFM CLUSTERING
Lampinen, J1991 ISBN: 0-444-89178-1DISTORTION TOLERANT FEATURE-EXTRACTION WITH GABOR FUNCTIONS AND TOPOLOGICAL CODING
Lampinen, J.; Oja, E.1990 ISBN: 0-7923-0831-XProjection filters for image and signal restoration
Ogawa, H.; Oja, E.; Lampinen, J.1989 Scientific books (monographs)
Book (editor)Advances in Independent Component Analysis and Learning Machines
Bingham, Ella; Kaski, Samuel; Laaksonen, Jorma; Lampinen, Jouko2015 ISBN: 9780128028063Publications intended for professional communities
Published development or research reportAuditory attention can decrease sharpness of population-level frequency tuning in the human auditory cortex
Kauramäki, Jaakko; Jääskeläinen, Iiro P.; Hänninen, Jarno L.; Auranen, Toni; Lampinen, Jouko; Sams, Mikko2009 Auditory attention decreases sharpness of frequency tuning in the human auditory cortex
Kauramäki, Jaakko; Jääskeläinen, Iiro P.; Hänninen, Jarno L.; Auranen, Toni; Lampinen, Jouko; Sams, Mikko2009 Automatic fMRI-guided MEG multidipole localization for visual responses.
Auranen, T.; Nummenmaa, A.; Vanni, S.; Vehtari, A.; Hämäläinen, M.S.; Lampinen, J.; Jääskeläinen, I.P.2007 Sparse MEG inverse solutiona via hierarchical Bayesian modeling: Evaluation with a parallel fMRI study
Nummenmaa, Aapo; Auranen, Toni; Vanni, Simo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vehtari, Aki; Sams, Mikko2007 Cortically constrained neuromagnitic inverse analysis: structure of Bayesian multidipolar solutions and effects of MEG-MRI coregistration error
Auranen, Toni; Nummenmaa, Aapo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vehtari, Aki; Sams, Mikko2006 Inverse estimates of basic auditory and visual MEG responses by hierarchical Variational Bayesian approach
Nummenmaa, Aapo; Auranen, Toni; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Sams, Mikko; Vehtari, Aki2006 Approximate Steerability of Gabor Filters for Feature Detection
Kalliomäki, Ilkka; Lampinen, Jouko2005 Rao-Blackwellized Particle Filter for Tracking Unknown Number of Targets in Clutter
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko2005 Sequential Monte Carlo for Bayesian matching of objects with occlusions
Tamminen, Toni; Lampinen, Jouko2005 Full Bayesian Analysis of the MEG Inverse Problem with 1 p-norm Priors.
Auranen, T.; Nummenmaa, A.; Hämäläinen, M.S.; Jääskeläinen, I.P.; Lampinen, J.; Vehtari, A.; Sams, M.2004 A Hierarchical Bayesian Approach in distributed MEG source Modelling
Nummenmaa, A.; Auranen, T.; Hämäläinen, M.S.; Jääskeläinen, I.P.; Lampinen, J.; Sams, M.; Vehtari, A.2004 Probabilistic methods in multiple target tracking - Review and bibliography
Särkkä, Simo; Tamminen, Toni; Vehtari, Aki; Lampinen, Jouko2004 Model selection via predictive explanatory power
Vehtari, Aki; Lampinen, Jouko2004 Brain Oscillatory responses During an Audiovisual Memory Task - a MEG study
Krause, Christina; Möttönen, Riikka; Auranen, Toni; Tiippana, Kaisa; Lampinen, Jouko; Sams, Mikko2002 Bayesian Input Variable Selection Using Posterior Probabilities and Expected Utilities
Vehtari, Aki; Lampinen, Jouko2002 Bayesian Input Variable Selection Using Cross-Validation Predictive Densities and Reversible Jump MCMC
Vehtari, Aki; Lampinen, Jouko2001 Bayesian model assesment and comparison using cross-validation predictive densities
Vehtari, Aki; Lampinen, Jouko2001 Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
Vehtari, Aki; Lampinen, Jouko2001 On Bayesian Model Asessment and Choice Using Cross-Validation Predictive Densities
Vehtari, Aki; Lampinen, Jouko2001 The Effect of Cluster Model in Cellular Level Dose Calculations
Lampinen, J.; Kuronen, A.; Välimäki, P.; Savolainen, S.1999 Neural Network Systems, Techniques and Applications in Pattern Recognition
Lampinen, J.; Laaksonen, J.; Oja, E.1997
Incremental object matching with Bayesian methods and particle filters
Toivanen, Miika; Lampinen, Jouko
2009 ISBN: 978-1-4244-5297-2
Bayesian online learning of corresponding points of objects with sequential Monte Carlo
Toivanen, Miika; Lampinen, Jouko
2009 ISSN: 2070-3821
Incremental Bayesian learning of feature points from natural images
Toivanen, Miika; Lampinen, Jouko
2009 in IEEE Conference on Computer Vision and Pattern Recognition (IEEE Computer Society)ISBN: 978-1-4244-3994-2
ISSN: 2160-7508
Prediction of ESTSP Competition Time Series by Unscented Kalman Filter and RTS Smoother
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko
2007 Probabilistic image segmentation for low-level map building in robot navigation.
Kostiainen, Timo; Lampinen, Jouko
2004 Efficient proposal distributions for MCMC image segmentation.
Kostiainen, Timo; Lampinen, Jouko
2004 in IEEE International Conference on Image Processing ICIP (IEEE)ISBN: 0-7803-8554-3
ISSN: 1522-4880
Time series prediction by Kalman smoother with cross validated noise density
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko
2004 in IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE)ISBN: 0-7803-8359-1
ISSN: 1098-7576
Rao-Blackwellized Monte Carlo Data Association for Multiple Target Tracking
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko
2004 A Bayesian Occlusion Model for Sequential Object matching
Tamminen, Toni; Lampinen, Jouko
2004 Bayesian object matching with Markov chain and sequential Monte Carlo
Tamminen, Toni; Lampinen, Jouko
2004 Feature-based Inference of Human Head Shapes
Kalliomäki, Ilkka; Lampinen, Jouko
2002 Face matching with learned object priors
Tamminen, Toni; Lampinen, Jouko
2002 Modeling of audiovisual speech perception in noise.
Andersen, Tobias; Tiippana, Kaisa; Lampinen, Jouko; Sams, Mikko
2001 3D Object Recognition Based on Hierarchical Eigen-Shapes and Bayesian Inference
Kostiainen, Timo; Kalliomäki, Ilkka; Tamminen, Toni; Lampinen, Jouko
2001 in Proceedings of SPIE (SPIE - The International Society for Optical Engineering)ISBN: 0-8194-4300-X
ISSN: 0277-786X
Self-Organizing Map as a Probability Density Model
Kostiainen, Timo; Lampinen, Jouko
2001 in IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE)ISBN: 0-7803-7044-9
ISSN: 1098-7576
Bayesian object matching based on MCMC sampling and Gabor filters
Lampinen, Jouko; Tamminen, Toni; Kostiainen, Timo; Kalliomäki, Ilkka
2001 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society for Optical Engineering)ISBN: 0-8194-4300-X
ISSN: 0277-786X
Maximum likelihood optimization of self-organizing map parameters.
Kostiainen, T.; Lampinen, J.
2000 Improved rotational invariance for statistical inverse in electrical impedance tomography.
Lahtinen, Jani; Martinsen, Tomas; Lampinen, Jouko
2000 in IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE Computer Society)ISBN: 0-7695-0619-4
ISSN: 1098-7576
Self-Organizing Map in data-analysis - notes on overfitting and overinterpretation
Lampinen, J.; Kostiainen, T.
2000 Bayesian techniques for neural networks - review and case studies.
Lampinen, J.; Vehtari, A.
2000 Radiation spectra of [111]in, [113m]in, and [114m]in.
Stepanek, J.; Ilvonen, S.; Kuronen, A.; Lampinen, J.; Savolainen, S.; Välimäki, P.
2000 Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map.
Varsta, M.; Heikkonen, J.; Lampinen, J.
2000 Bayesian MLP neural networks - review and case studies.
Vehtari, A.; Lampinen, J.
2000 On MCMC sampling in Bayesian MLP neural networks
Vehtari, Aki; Särkkä, Simo; Lampinen, Jouko
2000 in IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE Computer Society)ISSN: 1098-7576
Comparison of different cell cluster models for cell-level dosimetry.
Välimäki, P.; Lampinen, J.; Kuronen, A.; Ilvonen, S.; Stepanek, J.; Savolainen, S.
2000 Modelling of occupants' subjective responses and indoor air quality in office buildings.
Welling, I.; Kähkönen, E.; Lahtinen, M.; Salmi, K.; Lampinen, J.; Kostiainen, T.
2000 ISBN: 951-802-364-6
Building industrial applications with neural networks
Heikkonen, J.; Lampinen, J.
1999 Cluster models in cellular level electron dose calculations
Kuronen, A.; Lampinen, J.; Välimäki, P.; Stepanek, J.; Savolainen, S.
1999 Bayesian Neural Network to Solve the Inverse Problem in Electrical Impedance Tomography
Lampinen, J.; Vehtari, A.; Leinonen, K.
1999 Overtraining and model selection with the self-organizing map
Lampinen, J.; Kostiainen, T.
1999 Application of Bayesian Neural Network in Electrical Impedance Tomography
Lampinen, J.; Vehtari, A.; Leinonen, K.
1999 Selection of training samples for learning with hints
Lampinen, J.; Litkey, P.; Hakkarainen, H.
1999 Bayesian Neural Networks with Correlating Residuals
Vehtari, A.; Lampinen, J.
1999 Bayesian Neural Networks for Industrial Applications
Vehtari, A.; Lampinen, J.
1999 Bayesian Neural Networks for Image Analysis
Vehtari, A.; Lampinen, J.
1999 Bayesian Neural Networks with Correlating Residuals
Vehtari, A.; Lampinen, J.
1999 Digital image based tree measurement for forest inventory
Juujarvi, Jouni; Heikkonen, Jukka; Brandt, Sami; Lampinen, Jouko
1998 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society for Optical Engineering)ISBN: 0-8194-2983-X
ISSN: 0277-786X
Digital Image based tree measurement for forest industry
Juujärvi, J.; Heikkonen, J.; Brandt, S.; Lampinen, J.
1998 Modeling of non-stationary prosecc by modular separation of stability and plasticity
Lampinen, J.
1998 Modeling of non-stationary process by modular separation of stability and plasticity
Lampinen, J
1998 ISBN: 0-7803-4860-5
Temporal sequence processing with the recurrent, self-organizing map
Varsta, M.; Millan, Jose del R.; Heikkonen, J.; Lampinen, J.
1998 Using Bayesian neural networks to classify forest scenes
Vehtari, Aki; Heikkonen, Jukka; Lampinen, Jouko; Juujärvi, Jouni
1998 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society of Optical Engineering)ISBN: 0-8194-2983-X
ISSN: 0277-786X
Forest scene classification: Comparison of classifiers
Vehtari, A.; Juujärvi, J.; Heikkonen, J.; Lampinen, J.
1998 Modelling absorbed dose in ideal cell clusters
Kuronen, A.; Lampinen, J.; Stepanek, J.; Savolainen, S.
1997 Using Background Knowledge in Multilayer Perceptron Learning
Lampinen, J.; Selonen, A.
1997 ISBN: 951-764-145-1
Advances in Neural Network Modeling
Lampinen, J.
1997 Variable Threshold (MOS) - Transistor for Integrated Neural Network Circuits
Rantala, A.; Franssila, S.; Kaski, K.; Lampinen, J.; Åberg, M.
1997 Variable Treshold MOS-Transistors for Integrated Neural Network Circuits
Rantala, A.; Franssila, K.; Kaski, Kimmo; Lampinen, J.; Åberg, M.; Kuivalainen, P.
1997 Experiments on Regularizing (MLP) Models with Background Knowledge
Selonen, A.; Lampinen, J.
1997 Determining the Optimal Structure for Multilayer Self-Organizing Map with Genetic Algorithm
Smolander, S.; Lampinen, J.
1997 Estimating Internal Patient Dose Using a Flexible Anatomical Phantom Based Computer Program
Kuronen, A.; Lampinen, J.; Aschan, C.; Kairemo, K.; Korppi-Tommola, T.; Savolainen, S.
1996 Using Background Knowledge in Neural Network Learning
Selonen, A.; Lampinen, J.; Ikonen, L.
1996 Using External Knowledge in Neural Network Models
Selonen, Arto; Lampinen, Jouko; Ikonen, Leena
1996 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society for Optical Engineering)ISBN: 0-8194-2306-8
Multilayer perceptron training with inaccurate derivative information
Lampinen, Jouko; Selonen, Arto
1995 ISBN: 0-7803-2769-1
OPTIMIZATION AND SIMULATION OF QUALITY PROPERTIES IN PAPER MACHINE WITH NEURAL NETWORKS
Lampinen, J; Taipale, O
1994 ISBN: 0-7803-1901-X
WOOD DEFECT RECOGNITION WITH SELF-ORGANIZING FEATURE SELECTION
Lampinen, J; Smolander, S
1994 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (Spie-int Soc Optical Engineering)ISBN: 0-8194-1688-6
Feature Extraction by Unsupervised Learning
Oja, E.; Lampinen, J.
1994 Unsupervised Learning for Feature Extraction
Oja, E.; Lampinen, J.
1994 ON CLUSTERING PROPERTIES OF HIERARCHICAL SELF-ORGANIZING MAPS
Lampinen, J.
1992 ISBN: 0-444-89488-8
Feature extractor giving distortion invariant hierarchical feature space
Lampinen, Jouko
1991 in PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (SPIE - The International Society for Optical Engineering)ISBN: 0819405787
DISTORTION TOLERANT PATTERN-RECOGNITION USING INVARIANT TRANSFORMATIONS AND HIERARCHICAL SOFM CLUSTERING
Lampinen, J
1991 ISBN: 0-444-89178-1
DISTORTION TOLERANT FEATURE-EXTRACTION WITH GABOR FUNCTIONS AND TOPOLOGICAL CODING
Lampinen, J.; Oja, E.
1990 ISBN: 0-7923-0831-X
Projection filters for image and signal restoration
Ogawa, H.; Oja, E.; Lampinen, J.
1989 Advances in Independent Component Analysis and Learning Machines
Bingham, Ella; Kaski, Samuel; Laaksonen, Jorma; Lampinen, Jouko
2015 ISBN: 9780128028063
Publications intended for professional communities
Published development or research reportAuditory attention can decrease sharpness of population-level frequency tuning in the human auditory cortex
Kauramäki, Jaakko; Jääskeläinen, Iiro P.; Hänninen, Jarno L.; Auranen, Toni; Lampinen, Jouko; Sams, Mikko2009 Auditory attention decreases sharpness of frequency tuning in the human auditory cortex
Kauramäki, Jaakko; Jääskeläinen, Iiro P.; Hänninen, Jarno L.; Auranen, Toni; Lampinen, Jouko; Sams, Mikko2009 Automatic fMRI-guided MEG multidipole localization for visual responses.
Auranen, T.; Nummenmaa, A.; Vanni, S.; Vehtari, A.; Hämäläinen, M.S.; Lampinen, J.; Jääskeläinen, I.P.2007 Sparse MEG inverse solutiona via hierarchical Bayesian modeling: Evaluation with a parallel fMRI study
Nummenmaa, Aapo; Auranen, Toni; Vanni, Simo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vehtari, Aki; Sams, Mikko2007 Cortically constrained neuromagnitic inverse analysis: structure of Bayesian multidipolar solutions and effects of MEG-MRI coregistration error
Auranen, Toni; Nummenmaa, Aapo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vehtari, Aki; Sams, Mikko2006 Inverse estimates of basic auditory and visual MEG responses by hierarchical Variational Bayesian approach
Nummenmaa, Aapo; Auranen, Toni; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Sams, Mikko; Vehtari, Aki2006 Approximate Steerability of Gabor Filters for Feature Detection
Kalliomäki, Ilkka; Lampinen, Jouko2005 Rao-Blackwellized Particle Filter for Tracking Unknown Number of Targets in Clutter
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko2005 Sequential Monte Carlo for Bayesian matching of objects with occlusions
Tamminen, Toni; Lampinen, Jouko2005 Full Bayesian Analysis of the MEG Inverse Problem with 1 p-norm Priors.
Auranen, T.; Nummenmaa, A.; Hämäläinen, M.S.; Jääskeläinen, I.P.; Lampinen, J.; Vehtari, A.; Sams, M.2004 A Hierarchical Bayesian Approach in distributed MEG source Modelling
Nummenmaa, A.; Auranen, T.; Hämäläinen, M.S.; Jääskeläinen, I.P.; Lampinen, J.; Sams, M.; Vehtari, A.2004 Probabilistic methods in multiple target tracking - Review and bibliography
Särkkä, Simo; Tamminen, Toni; Vehtari, Aki; Lampinen, Jouko2004 Model selection via predictive explanatory power
Vehtari, Aki; Lampinen, Jouko2004 Brain Oscillatory responses During an Audiovisual Memory Task - a MEG study
Krause, Christina; Möttönen, Riikka; Auranen, Toni; Tiippana, Kaisa; Lampinen, Jouko; Sams, Mikko2002 Bayesian Input Variable Selection Using Posterior Probabilities and Expected Utilities
Vehtari, Aki; Lampinen, Jouko2002 Bayesian Input Variable Selection Using Cross-Validation Predictive Densities and Reversible Jump MCMC
Vehtari, Aki; Lampinen, Jouko2001 Bayesian model assesment and comparison using cross-validation predictive densities
Vehtari, Aki; Lampinen, Jouko2001 Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
Vehtari, Aki; Lampinen, Jouko2001 On Bayesian Model Asessment and Choice Using Cross-Validation Predictive Densities
Vehtari, Aki; Lampinen, Jouko2001 The Effect of Cluster Model in Cellular Level Dose Calculations
Lampinen, J.; Kuronen, A.; Välimäki, P.; Savolainen, S.1999 Neural Network Systems, Techniques and Applications in Pattern Recognition
Lampinen, J.; Laaksonen, J.; Oja, E.1997
Auditory attention can decrease sharpness of population-level frequency tuning in the human auditory cortex
Kauramäki, Jaakko; Jääskeläinen, Iiro P.; Hänninen, Jarno L.; Auranen, Toni; Lampinen, Jouko; Sams, Mikko
2009 Auditory attention decreases sharpness of frequency tuning in the human auditory cortex
Kauramäki, Jaakko; Jääskeläinen, Iiro P.; Hänninen, Jarno L.; Auranen, Toni; Lampinen, Jouko; Sams, Mikko
2009 Automatic fMRI-guided MEG multidipole localization for visual responses.
Auranen, T.; Nummenmaa, A.; Vanni, S.; Vehtari, A.; Hämäläinen, M.S.; Lampinen, J.; Jääskeläinen, I.P.
2007 Sparse MEG inverse solutiona via hierarchical Bayesian modeling: Evaluation with a parallel fMRI study
Nummenmaa, Aapo; Auranen, Toni; Vanni, Simo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vehtari, Aki; Sams, Mikko
2007 Cortically constrained neuromagnitic inverse analysis: structure of Bayesian multidipolar solutions and effects of MEG-MRI coregistration error
Auranen, Toni; Nummenmaa, Aapo; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Vehtari, Aki; Sams, Mikko
2006 Inverse estimates of basic auditory and visual MEG responses by hierarchical Variational Bayesian approach
Nummenmaa, Aapo; Auranen, Toni; Hämäläinen, Matti S.; Jääskeläinen, Iiro P.; Lampinen, Jouko; Sams, Mikko; Vehtari, Aki
2006 Approximate Steerability of Gabor Filters for Feature Detection
Kalliomäki, Ilkka; Lampinen, Jouko
2005 Rao-Blackwellized Particle Filter for Tracking Unknown Number of Targets in Clutter
Särkkä, Simo; Vehtari, Aki; Lampinen, Jouko
2005 Sequential Monte Carlo for Bayesian matching of objects with occlusions
Tamminen, Toni; Lampinen, Jouko
2005 Full Bayesian Analysis of the MEG Inverse Problem with 1 p-norm Priors.
Auranen, T.; Nummenmaa, A.; Hämäläinen, M.S.; Jääskeläinen, I.P.; Lampinen, J.; Vehtari, A.; Sams, M.
2004 A Hierarchical Bayesian Approach in distributed MEG source Modelling
Nummenmaa, A.; Auranen, T.; Hämäläinen, M.S.; Jääskeläinen, I.P.; Lampinen, J.; Sams, M.; Vehtari, A.
2004 Probabilistic methods in multiple target tracking - Review and bibliography
Särkkä, Simo; Tamminen, Toni; Vehtari, Aki; Lampinen, Jouko
2004 Model selection via predictive explanatory power
Vehtari, Aki; Lampinen, Jouko
2004 Brain Oscillatory responses During an Audiovisual Memory Task - a MEG study
Krause, Christina; Möttönen, Riikka; Auranen, Toni; Tiippana, Kaisa; Lampinen, Jouko; Sams, Mikko
2002 Bayesian Input Variable Selection Using Posterior Probabilities and Expected Utilities
Vehtari, Aki; Lampinen, Jouko
2002 Bayesian Input Variable Selection Using Cross-Validation Predictive Densities and Reversible Jump MCMC
Vehtari, Aki; Lampinen, Jouko
2001 Bayesian model assesment and comparison using cross-validation predictive densities
Vehtari, Aki; Lampinen, Jouko
2001 Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
Vehtari, Aki; Lampinen, Jouko
2001 On Bayesian Model Asessment and Choice Using Cross-Validation Predictive Densities
Vehtari, Aki; Lampinen, Jouko
2001 The Effect of Cluster Model in Cellular Level Dose Calculations
Lampinen, J.; Kuronen, A.; Välimäki, P.; Savolainen, S.
1999 Neural Network Systems, Techniques and Applications in Pattern Recognition
Lampinen, J.; Laaksonen, J.; Oja, E.
1997 Videos
Jouko Lampinen: "Pattern Recognition and Computer Vision" - Professor Erkki Oja Symposium 2013
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