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ORCIDLasse Holmström
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2010 – 2019
- 2018
[j13]Ville Vuollo, Lasse Holmström:
A scale space approach for exploring structure in spherical data. Comput. Stat. Data Anal. 125: 57-69 (2018)- 2017
- [j12]Terhi Mäkinen
, Lasse Holmström:
Modeling probability density through ultraspherical polynomial transformations. Commun. Stat. Simul. Comput. 46(8): 5879-5900 (2017) - [j11]Leena Pasanen, Lasse Holmström:
Scale space multiresolution correlation analysis for time series data. Comput. Stat. 32(1): 197-218 (2017) - [j10]Lasse Holmström, Kyösti Karttunen, Jussi Klemelä:
Estimation of level set trees using adaptive partitions. Comput. Stat. 32(3): 1139-1163 (2017) - [j9]Ilkka Launonen, Lasse Holmström:
Multivariate posterior singular spectrum analysis. Stat. Methods Appl. 26(3): 361-382 (2017) - 2014
- [c7]Kyösti Karttunen, Lasse Holmström, Jussi Klemelä:
Level Set Trees with Enhanced Marginal Density Visualization. IVAPP 2014: 210-217 - 2013
- [j8]Lasse Holmström, Ilkka Launonen:
Posterior singular spectrum analysis. Stat. Anal. Data Min. 6(5): 387-402 (2013) - [c6]Leena Pasanen, Lasse Holmström:
Bayesian scale space analysis of images. ISPA 2013: 96-100 - 2012
- [j7]Lasse Holmström, Leena Pasanen:
Bayesian Scale Space Analysis of Differences in Images. Technometrics 54(1): 16-29 (2012) - 2011
- [j6]Lasse Holmström, Leena Pasanen, Reinhard Furrer, Stephan R. Sain:
Scale space multiresolution analysis of random signals. Comput. Stat. Data Anal. 55(10): 2840-2855 (2011)
2000 – 2009
- 2004
- [j5]Fabian Hoti, Lasse Holmström:
A semiparametric density estimation approach to pattern classification. Pattern Recognit. 37(3): 409-419 (2004) - [c5]Lasse Holmström, Fabian Hoti:
Application of Semiparametric Density Estimation to Classification. ICPR (3) 2004: 371-374 - 2002
- [j4]Lasse Holmström, Panu Erästö:
Making inferences about past environmental change using smoothing in multiple time scales. Comput. Stat. Data Anal. 41(2): 289-309 (2002)
1990 – 1999
- 1997
- [j3]Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja:
Neural and statistical classifiers-taxonomy and two case studies. IEEE Trans. Neural Networks 8(1): 5-17 (1997) - 1996
- [c4]Ari Hämäläinen, Lasse Holmström:
Complexity Reduction in Probabilistic Neural Networks. ICANN 1996: 65-70 - [c3]Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja:
Neural network and statistical perspectives of classification. ICPR 1996: 286-290 - 1993
- [c2]Lasse Holmström, Ari Hämäläinen:
The self-organizing reduced kernel density estimator. ICNN 1993: 417-421 - 1992
- [j2]Lasse Holmström, Petri Koistinen:
Using additive noise in back-propagation training. IEEE Trans. Neural Networks 3(1): 24-38 (1992) - 1991
- [c1]Petri Koistinen, Lasse Holmström:
Kernel Regression and Backpropagation Training With Noise. NIPS 1991: 1033-1039
1980 – 1989
- 1987
- [j1]Lasse Holmström:
Piecewise quadric blending of implicitly defined surfaces. Comput. Aided Geom. Des. 4(3): 171-189 (1987)
Coauthor Index
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