Lasse Holmström

According to our database, Lasse Holmström authored at least 20 papers between 1987 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

A scale space approach for exploring structure in spherical data.

Ville Vuollo, Lasse Holmström

Comput. Stat. Data Anal., 2018

2017

Multivariate posterior singular spectrum analysis.

Ilkka Launonen, Lasse Holmström

Stat. Methods Appl., 2017

Scale space multiresolution correlation analysis for time series data.

Leena Pasanen, Lasse Holmström

Comput. Stat., 2017

Estimation of level set trees using adaptive partitions.

Lasse Holmström, Kyösti Karttunen, Jussi Klemelä

Comput. Stat., 2017

Modeling probability density through ultraspherical polynomial transformations.

Terhi Mäkinen, Lasse Holmström

Commun. Stat. Simul. Comput., 2017

2014

Level Set Trees with Enhanced Marginal Density Visualization.

Kyösti Karttunen, Lasse Holmström, Jussi Klemelä

Proceedings of the 5th International Conference on Information Visualization Theory and Applications, 2014

2013

Posterior singular spectrum analysis.

Lasse Holmström, Ilkka Launonen

Stat. Anal. Data Min., 2013

Bayesian scale space analysis of images.

Leena Pasanen, Lasse Holmström

Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

2012

Bayesian Scale Space Analysis of Differences in Images.

Lasse Holmström, Leena Pasanen

Technometrics, 2012

2011

Scale space multiresolution analysis of random signals.

Lasse Holmström, Leena Pasanen, Reinhard Furrer, Stephan R. Sain

Comput. Stat. Data Anal., 2011

2004

A semiparametric density estimation approach to pattern classification.

Fabian Hoti, Lasse Holmström

Pattern Recognit., 2004

Application of Semiparametric Density Estimation to Classification.

Lasse Holmström, Fabian Hoti

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2002

Making inferences about past environmental change using smoothing in multiple time scales.

Lasse Holmström, Panu Erästö

Comput. Stat. Data Anal., 2002

1997

Neural and statistical classifiers-taxonomy and two case studies.

Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja

IEEE Trans. Neural Networks, 1997

1996

Neural network and statistical perspectives of classification.

Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Complexity Reduction in Probabilistic Neural Networks.

Ari Hämäläinen, Lasse Holmström

Proceedings of the Artificial Neural Networks, 1996

1993

The self-organizing reduced kernel density estimator.

Lasse Holmström, Ari Hämäläinen

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992

Using additive noise in back-propagation training.

Lasse Holmström, Petri Koistinen

IEEE Trans. Neural Networks, 1992

1991

Kernel Regression and Backpropagation Training With Noise.

Petri Koistinen, Lasse Holmström

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1987

Piecewise quadric blending of implicitly defined surfaces.

Lasse Holmström

Comput. Aided Geom. Des., 1987