Department of Information Technology

Håkan Wieslander

doctoral student at Department of Information Technology, Division of Visual Information and Interaction

Email:
hakan.wieslander[AT-sign]it.uu.se
Telephone:
+4618-471 3371
Visiting address:
Room POL 2144 ITC, hus 1,2,4 Lägerhyddsv. 2
Postal address:
Box 337
751 05 UPPSALA

Also available at

My courses

Research

Collection of large amounts of data often results in high-quality, highly informative data intermixed with data that is either of poor quality or of little interest in relation to the question at hand. Wieslander’s thesis work will focus on development of computationally inexpensive measurements that will identify non-informative data early on in the analysis process; either online at data collection, or off-line prior to full data analysis. The challenge is to use minimal computational time and power to extract a broad range of informative measurements from spatial-, temporal-, and multi-parametric image data, useful as input for conformal predictions and efficient enough to work well in a streaming setting. 

Publications

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