Lasse Holmström

Publication Activity (10 Years)

Years Active: 1987-2018
Publications (10 Years): 5

Top Topics

Singular Spectrum Analysis

Intensity Inhomogeneity

Top Venues

Stat. Anal. Data Min.

Stat. Methods Appl.

Publications

Ville Vuollo, Lasse Holmström
A scale space approach for exploring structure in spherical data. Comput. Stat. Data Anal. 125 (2018)
Terhi Mäkinen, Lasse Holmström
Modeling probability density through ultraspherical polynomial transformations. Commun. Stat. Simul. Comput. 46 (8) (2017)
Lasse Holmström, Kyösti Karttunen, Jussi Klemelä
Estimation of level set trees using adaptive partitions. Comput. Stat. 32 (3) (2017)
Ilkka Launonen, Lasse Holmström
Multivariate posterior singular spectrum analysis. Stat. Methods Appl. 26 (3) (2017)
Leena Pasanen, Lasse Holmström
Scale space multiresolution correlation analysis for time series data. Comput. Stat. 32 (1) (2017)
Kyösti Karttunen, Lasse Holmström, Jussi Klemelä
Level Set Trees with Enhanced Marginal Density Visualization. IVAPP (2014)
Leena Pasanen, Lasse Holmström
Bayesian scale space analysis of images. ISPA (2013)
Lasse Holmström, Ilkka Launonen
Posterior singular spectrum analysis. Stat. Anal. Data Min. 6 (5) (2013)
Lasse Holmström, Leena Pasanen
Bayesian Scale Space Analysis of Differences in Images. Technometrics 54 (1) (2012)
Lasse Holmström, Leena Pasanen, Reinhard Furrer, Stephan R. Sain
Scale space multiresolution analysis of random signals. Comput. Stat. Data Anal. 55 (10) (2011)
Lasse Holmström, Fabian Hoti
Application of Semiparametric Density Estimation to Classification. ICPR (3) (2004)
Fabian Hoti, Lasse Holmström
A semiparametric density estimation approach to pattern classification. Pattern Recognit. 37 (3) (2004)
Lasse Holmström, Panu Erästö
Making inferences about past environmental change using smoothing in multiple time scales. Comput. Stat. Data Anal. 41 (2) (2002)
Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja
Neural and statistical classifiers-taxonomy and two case studies. IEEE Trans. Neural Networks 8 (1) (1997)
Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja
Neural network and statistical perspectives of classification. ICPR (1996)
Ari Hämäläinen, Lasse Holmström
Complexity Reduction in Probabilistic Neural Networks. ICANN (1996)
Lasse Holmström, Ari Hämäläinen
The self-organizing reduced kernel density estimator. ICNN (1993)
Lasse Holmström, Petri Koistinen
Using additive noise in back-propagation training. IEEE Trans. Neural Networks 3 (1) (1992)
Petri Koistinen, Lasse Holmström
Kernel Regression and Backpropagation Training With Noise. NIPS (1991)
Lasse Holmström
Piecewise quadric blending of implicitly defined surfaces. Comput. Aided Geom. Des. 4 (3) (1987)