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ORCIDJouko Lampinen
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2010 – 2019
- 2018
[j20]Athanasios Gotsopoulos, Heini Saarimäki, Enrico Glerean
, Iiro P. Jääskeläinen, Mikko Sams, Lauri Nummenmaa, Jouko Lampinen:
Reproducibility of importance extraction methods in neural network based fMRI classification. NeuroImage 181: 44-54 (2018)- 2016
- [j19]Matti Lehtomäki, Anttoni Jaakkola, Juha Hyyppä, Jouko Lampinen, Harri Kaartinen, Antero Kukko, Eetu Puttonen, Hannu Hyyppä:
Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment. IEEE Trans. Geosci. Remote. Sens. 54(2): 1226-1239 (2016)
2000 – 2009
- 2009
- [c23]Miika Toivanen, Jouko Lampinen:
Incremental Bayesian learning of feature points from natural images. CVPR Workshops 2009: 39-46 - [c22]Miika Toivanen, Jouko Lampinen:
Incremental Object Matching with Bayesian Methods and Particle Filters. DICTA 2009: 111-118 - [c21]Jouko Lampinen:
Probabilistic View on Self-organizing Maps and Dimension Reduction. IJCCI 2009: 9-9 - 2007
- [j18]Simo Särkkä, Aki Vehtari, Jouko Lampinen:
CATS benchmark time series prediction by Kalman smoother with cross-validated noise density. Neurocomputing 70(13-15): 2331-2341 (2007) - [j17]Simo Särkkä, Aki Vehtari, Jouko Lampinen:
Rao-Blackwellized particle filter for multiple target tracking. Inf. Fusion 8(1): 2-15 (2007) - [j16]Aapo Nummenmaa, Toni Auranen, Matti S. Hämäläinen, Iiro P. Jääskeläinen, Jouko Lampinen, Mikko Sams, Aki Vehtari:
Hierarchical Bayesian estimates of distributed MEG sources: Theoretical aspects and comparison of variational and MCMC methods. NeuroImage 35(2): 669-685 (2007) - [j15]Aapo Nummenmaa, Toni Auranen, Matti S. Hämäläinen, Iiro P. Jääskeläinen, Mikko Sams, Aki Vehtari, Jouko Lampinen:
Automatic relevance determination based hierarchical Bayesian MEG inversion in practice. NeuroImage 37(3): 876-889 (2007) - [j14]Ilkka Kalliomäki, Jouko Lampinen:
On steerability of Gabor-type filters for feature detection. Pattern Recognit. Lett. 28(8): 904-911 (2007) - 2006
- [j13]Toni Tamminen, Jouko Lampinen:
Sequential Monte Carlo for Bayesian Matching of Objects with Occlusions. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 930-941 (2006) - 2005
- [j12]Ilkka Kalliomäki, Aki Vehtari, Jouko Lampinen:
Shape analysis of concrete aggregates for statistical quality modeling. Mach. Vis. Appl. 16(3): 197-201 (2005) - [j11]Toni Auranen, Aapo Nummenmaa, Matti S. Hämäläinen, Iiro P. Jääskeläinen, Jouko Lampinen, Aki Vehtari, Mikko Sams:
Bayesian analysis of the neuromagnetic inverse problem with ℓp-norm priors. NeuroImage 26(3): 870-884 (2005) - [c20]Toni Tamminen, Jari Kätsyri, Michael Frydrych, Jouko Lampinen:
Joint Modeling of Facial Expression and Shape from Video. SCIA 2005: 151-160 - [c19]Ilkka Kalliomäki, Jouko Lampinen:
Approximate Steerability of Gabor Filters for Feature Detection. SCIA 2005: 940-949 - 2004
- [c18]Toni Tamminen, Jouko Lampinen:
A Bayesian Occlusion Model for Sequential Object Matching. BMVC 2004: 1-10 - [c17]Timo Kostiainen, Jouko Lampinen:
Efficient proposal distributions for MCMC image segmentation. ICIP 2004: 933-936 - 2003
- [j10]Jouko Lampinen:
Cam shape optimisation by genetic algorithm. Comput. Aided Des. 35(8): 727-737 (2003) - [j9]Jani Lahtinen, Jouko Lampinen:
Reversible jump MCMC for two-state multivariate Poisson mixtures. Kybernetika 39(3): 307-315 (2003) - [c16]Ilkka Kalliomäki, Jouko Lampinen:
Modeling of Pose Effects in Oriented Filter Responses for Head Pose Estimation. SCIA 2003: 156-162 - [c15]Toni Tamminen, Jouko Lampinen:
Learning an Object Model for Feature Matching in Clutter. SCIA 2003: 193-199 - 2002
- [j8]Timo Kostiainen, Jouko Lampinen:
On the generative probability density model in the self-organizing map. Neurocomputing 48(1-4): 217-228 (2002) - [j7]Aki Vehtari, Jouko Lampinen:
Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities. Neural Comput. 14(10): 2439-2468 (2002) - 2001
- [j6]Jouko Lampinen, Aki Vehtari:
Bayesian approach for neural networks--review and case studies. Neural Networks 14(3): 257-274 (2001) - [j5]Markus Varsta, Jukka Heikkonen, Jouko Lampinen, José del R. Millán:
Temporal Kohonen Map and the Recurrent Self-Organizing Map: Analytical and Experimental Comparison. Neural Process. Lett. 13(3): 237-251 (2001) - [c14]Tobias S. Andersen, Kaisa Tiippana, Jouko Lampinen, Mikko Sams:
Modeling of audiovisual speech perception in noise. AVSP 2001: 172-176 - 2000
- [j4]Aki Vehtari, Jouko Lampinen:
Bayesian MLP neural networks for image analysis. Pattern Recognit. Lett. 21(13-14): 1183-1191 (2000) - [c13]Jouko Lampinen, Timo Kostiainen:
Self-Organizing Maps in data analysis - notes on overfitting and overinterpretation. ESANN 2000: 239-244 - [c12]Markus Varsta, Jukka Heikkonen, Jouko Lampinen:
Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map. ESANN 2000: 273-280 - [c11]Jouko Lampinen, Aki Vehtari:
Bayesian techniques for neural networks - Review and case studies. EUSIPCO 2000: 1-8 - [c10]Jani Lahtinen, Tomas Martinsen, Jouko Lampinen:
Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography. IJCNN (2) 2000: 154-158 - [c9]Aki Vehtari, Simo Särkkä, Jouko Lampinen:
On MCMC Sampling in Bayesian MLP Neural Networks. IJCNN (1) 2000: 317-322
1990 – 1999
- 1999
- [c8]Jouko Lampinen, Paula Litkey, Harri Hakkarainen:
Selection of training samples for learning with hints. IJCNN 1999: 1438-1441 - [c7]Aki Vehtari, Jouko Lampinen:
Bayesian neural networks with correlating residuals. IJCNN 1999: 1662-1665 - [c6]Jouko Lampinen, Timo Kostiainen:
Overtraining and model selection with the self-organizing map. IJCNN 1999: 1911-1915 - [c5]Jouko Lampinen, Aki Vehtari, Kimmo Leinonen:
Application of Bayesian neural network in electrical impedance tomography. IJCNN 1999: 3942-3947 - 1997
- [c4]Arto Selonen, Jouko Lampinen:
Experiments on Regularizing MLP Models with Background Knowledge. ICANN 1997: 367-372 - 1996
- [j3]Jouko Lampinen, Seppo Smolander:
Self-Organizing Feature Extraction in Recognition of Wood Surface Defects and Color Images. Int. J. Pattern Recognit. Artif. Intell. 10(2): 97-113 (1996) - 1995
- [j2]Jouko Lampinen, Erkki Oja:
Distortion tolerant pattern recognition based on self-organizing feature extraction. IEEE Trans. Neural Networks 6(3): 539-547 (1995) - [c3]Jouko Lampinen, Arto Selonen:
Multilayer perceptron training with inaccurate derivative information. ICNN 1995: 2811-2815 - 1992
- [j1]Jouko Lampinen, Erkki Oja:
Clustering properties of hierarchical self-organizing maps. J. Math. Imaging Vis. 2(2-3): 261-272 (1992)
1980 – 1989
- 1989
- [c2]Jouko Lampinen, Erkki Oja:
Fast Computation of Kohonen Self-Organization. NATO Neurocomputing 1989: 65-74 - 1986
- [c1]Erkki Oja, Jouko Lampinen:
A fast local PPF restoration filter. ICASSP 1986: 1497-1500
Coauthor Index
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