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SAMBA

SAMBA

Statistical Analysis, Image Analysis and Pattern Recognition - SAMBA

The SAMBA department has comprehensive theoretical and practical knowledge in the fields of statistics, image analysis and pattern recognition. We are one of Europe's largest and most competent groups within applied statistics and statistical-matematical modelling. We cover a broad spectrum of methods and are a world leader in some of these areas. The appropriate choice of method for the various problems is thus one of our strengths. Many calculations involve uncertainty and the accurate calculation of this parameter is an important speciality.

Research areas

Statistics for finance, insurance and commodity markets
We use statistical methods to quantify all kinds of risk in the banking, insurance and commodity markets. We work a lot with models related to Basel II and Solvency II and have developed a large number of systems related to trading and risk management for various power companies.
Statistics for climate, environment, marine resources and health
We cover a wide range of applications within the fields of climate, environment, marine resources and health. To mention a few, we work with climate sensitivity estimation, reconstructing past global climate, pollution in air and water, abundance estimation of wild fish and whales, and we also do research in genomics and bioinformatics.
Statistics for technology, industry and administration
We cover a wide range of applications including forecasting, time series analysis, network modelling, optimal delivery, logistics, optimal steering of industry processes, reliability analysis, cost surveys and analysis of very large data sets.
Earth observation
We do research and development of methodologies for analysis of digital remote sensing data from satellites and aircrafts. Application areas include environmental monitoring, climate change monitoring, environmental emergency detection, natural resource mapping and map revision.
Image Analysis and Pattern Recognition
We have extensive knowledge in the fields of image analysis and pattern recognition. Object extraction, characterization and recognition from images are central for many of these applications. Another central theme is the analysis of sequences of data, including motion detection and characterization.
Statistics for innovation
This is a center for Research-based-innovation funded by the Research Council of Norway. The center has a close cooperation with industry and academia developing new methods that improve innovation within finance, petroleum, health and marine resources.

Scientific publications

2012, 2011, 2010, 2009

Contact

Andre Teigland (eng)

Research Director SAMBA André Teigland

Kjersti Aas (eng)

Assistant Research Director Kjersti Aas

About the department

Staff

Selected projects

  • Travel time estimation using Bluetooth devices
Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Norway
Visit address:
Norsk Regnesentral
Gaustadalleen 23a/b
Kristen Nygaards hus
NO-0373 Oslo.
Phone:
(+47) 22 85 25 00
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