Geir Storvik - researchr alias

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Viewing Publication 1 - 19 from 19

2024

Sparsifying Bayesian neural networks with latent binary variables and normalizing flowsLars Skaaret-Lund, Geir Storvik, Aliaksandr Hubin. tmlr, 2024, 2024. [doi]

2022

A subsampling approach for Bayesian model selectionJon Lachmann, Geir Storvik, Florian Frommlet, Aliaksandr Hubin. ijar, 151:33-63, 2022. [doi]

2021

Flexible Bayesian Nonlinear Model ConfigurationAliaksandr Hubin, Geir Storvik, Florian Frommlet. jair, 72:901-942, 2021. [doi]

2019

Graph Peak Caller: Calling ChIP-seq peaks on graph-based reference genomesIvar Grytten, Knut D. Rand, Alexander Johan Nederbragt, Geir Storvik, Ingrid K. Glad, Geir Kjetil Sandve. ploscb, 15(2), 2019. [doi]

2018

Mode jumping MCMC for Bayesian variable selection in GLMMAliaksandr Hubin, Geir Storvik. csda, 127:281-297, 2018. [doi]

2017

Coordinates and intervals in graph-based reference genomesKnut D. Rand, Ivar Grytten, Alexander J. Nederbragt, Geir Storvik, Ingrid K. Glad, Geir Kjetil Sandve. bmcbi, 18(1), 2017. [doi]

2009

On the Combination of Multisensor Data Using Meta-Gaussian DistributionsBard Storvik, Geir Storvik, Roger Fjørtoft. tgrs, 47(7-2):2372-2379, 2009. [doi]

2005

A bayesian approach to classification of multiresolution remote sensing dataGeir Storvik, Roger Fjørtoft, Anne H. Schistad Solberg. tgrs, 43(3):539-547, 2005. [doi]

2003

Parameter estimation and classification of multiscale remote sensing dataGeir Storvik, Roger Fjørtoft, Anne H. Schistad Solberg. igarss 2003: 1047-1049 [doi]

Joint distributions for correlated radar imagesBard Storvik, Geir Storvik, Roger Fjørtoft. igarss 2003: 2011-2013 [doi]

2002

Large-Scale Integer Programs in Image AnalysisGeir Dahl, Geir Storvik, Alice Fadnes. ior, 50(3):490-500, 2002. [doi]

A comparison of criteria for decision fusion and parameter estimation in statistical multisensor image classificationAnne H. Schistad Solberg, Geir Storvik, Roger Fjørtoft. igarss 2002: 72-74 [doi]

Particle filters for state-space models with the presence of unknown static parametersGeir Storvik. tsp, 50(2):281-289, 2002. [doi]

2001

Deterministic and Stochastic Particle Filters in State-Space ModelsErik Bølviken, Geir Storvik. In Sequential Monte Carlo Methods in Practice. Statistics for Engineering and Information Science, pages 97-116, Springer, 2001. [doi]

2000

Lagrangian-based methods for finding MAP solutions for MRF modelsGeir Storvik, Geir Dahl. TIP, 9(3):469-479, 2000. [doi]

1999

Automatic detection of oil spills in ERS SAR imagesAnne H. Schistad Solberg, Geir Storvik, Rune Solberg, Espen Volden. tgrs, 37(4):1916-1924, 1999. [doi]

1995

Segmentation of brain parenchyma and cerebrospinal fluid in multispectral magnetic resonance imagesArvid Lundervold, Geir Storvik. tmi, 14(2):339-349, 1995. [doi]

1994

A Bayesian Approach to Dynamic Contours Through Stochastic Sampling and Simulated AnnealingGeir Storvik. pami, 16(10):976-986, 1994. [doi]

1992

Combining range and intensity data with a hidden Markov modelRagnar Bang Huseby, Gutorm Thomas Hogasen, Geir Storvik, Kjersti Aas. icpr 1992: 128-131 [doi]

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