| 2007 |
|---|
| 22 | EE | Simo Särkkä,
Aki Vehtari,
Jouko Lampinen:
Rao-Blackwellized particle filter for multiple target tracking.
Information Fusion 8(1): 2-15 (2007) |
| 21 | EE | 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) |
| 20 | EE | Ilkka Kalliomäki,
Jouko Lampinen:
On steerability of Gabor-type filters for feature detection.
Pattern Recognition Letters 28(8): 904-911 (2007) |
| 2006 |
|---|
| 19 | EE | 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 |
|---|
| 18 | EE | Toni Tamminen,
Jari Kätsyri,
Michael Frydrych,
Jouko Lampinen:
Joint Modeling of Facial Expression and Shape from Video.
SCIA 2005: 151-160 |
| 17 | EE | Ilkka Kalliomäki,
Jouko Lampinen:
Approximate Steerability of Gabor Filters for Feature Detection.
SCIA 2005: 940-949 |
| 16 | EE | Ilkka Kalliomäki,
Aki Vehtari,
Jouko Lampinen:
Shape analysis of concrete aggregates for statistical quality modeling.
Mach. Vis. Appl. 16(3): 197-201 (2005) |
| 2004 |
|---|
| 15 | EE | Timo Kostiainen,
Jouko Lampinen:
Efficient proposal distributions for MCMC image segmentation.
ICIP 2004: 933-936 |
| 2003 |
|---|
| 14 | EE | Ilkka Kalliomäki,
Jouko Lampinen:
Modeling of Pose Effects in Oriented Filter Responses for Head Pose Estimation.
SCIA 2003: 156-162 |
| 13 | EE | Toni Tamminen,
Jouko Lampinen:
Learning an Object Model for Feature Matching in Clutter.
SCIA 2003: 193-199 |
| 12 | EE | Jouko Lampinen:
Cam shape optimisation by genetic algorithm.
Computer-Aided Design 35(8): 727-737 (2003) |
| 2002 |
|---|
| 11 | EE | Aki Vehtari,
Jouko Lampinen:
Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities.
Neural Computation 14(10): 2439-2468 (2002) |
| 10 | EE | Timo Kostiainen,
Jouko Lampinen:
On the generative probability density model in the self-organizing map.
Neurocomputing 48(1-4): 217-228 (2002) |
| 2001 |
|---|
| 9 | EE | Jouko Lampinen,
Aki Vehtari:
Bayesian approach for neural networks--review and case studies.
Neural Networks 14(3): 257-274 (2001) |
| 8 | | Markus Varsta,
Jukka Heikkonen,
Jouko Lampinen,
José del R. Millán:
Temporal Kohonen Map and the Recurrent Self-Organizing Map: Analytical and Experimental Comparison.
Neural Processing Letters 13(3): 237-251 (2001) |
| 2000 |
|---|
| 7 | EE | Jouko Lampinen,
Timo Kostiainen:
Self-Organizing Maps in data analysis - notes on overfitting and overinterpretation.
ESANN 2000: 239-244 |
| 6 | EE | Markus Varsta,
Jukka Heikkonen,
Jouko Lampinen:
Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map.
ESANN 2000: 273-280 |
| 5 | EE | Aki Vehtari,
Simo Särkkä,
Jouko Lampinen:
On MCMC Sampling in Bayesian MLP Neural Networks.
IJCNN (1) 2000: 317-322 |
| 4 | EE | Jani Lahtinen,
Tomas Martinsen,
Jouko Lampinen:
Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography.
IJCNN (2) 2000: 154-158 |
| 3 | EE | Aki Vehtari,
Jouko Lampinen:
Bayesian MLP neural networks for image analysis.
Pattern Recognition Letters 21(13-14): 1183-1191 (2000) |
| 1997 |
|---|
| 2 | | Arto Selonen,
Jouko Lampinen:
Experiments on Regularizing MLP Models with Background Knowledge.
ICANN 1997: 367-372 |
| 1996 |
|---|
| 1 | | Jouko Lampinen,
Seppo Smolander:
Self-Organizing Feature Extraction in Recognition of Wood Surface Defects and Color Images.
IJPRAI 10(2): 97-113 (1996) |
