Kim Steenstrup Pedersen

Kim Steenstrup Pedersen

Sektionsleder, Professor

Introductory remarks on publicationslist

Best paper award at the 3DPVT 2010 conference for the paper “On Recall Rate of Interest Point Detectors”. Henrik Aanæs, Anders Dahl and Kim Steenstrup Pedersen.

  1. Published

    An empirical study on the performance of spectral manifold learning techniques

    Mysling, P., Hauberg, S. & Steenstrup Pedersen, Kim, 2011, Artificial Neural Networks and Machine Learning – ICANN 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I. Honkela, T., Duch, W., Girolami, M. & Kaski, S. (eds.). Springer, p. 347-354 8 p. (Lecture notes in computer science, Vol. 6791).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  2. Published

    Tribute Workshop for Peter Johansen

    Nielsen, Mads (ed.), de Bruijne, Marleen (ed.), Jørgensen, Camilla Holm (ed.), Olsen, Søren Ingvor (ed.), Steenstrup Pedersen, Kim (ed.) & Sporring, Jon (ed.), 2008, Berlin: Springer. 151 p. (Journal of Mathematical Imaging and Vision; No. 31(2-3)p.119-269).

    Research output: Book/ReportAnthologyResearch

  3. Published

    Special Issue on Tribute Workshop for Peter Johansen

    Nielsen, Mads, de Bruijne, Marleen, Jørgensen, Camilla Holm, Olsen, Søren Ingvor, Steenstrup Pedersen, Kim & Sporring, Jon, 2008, In: Journal of Mathematical Imaging and Vision. 31, 2-3, p. 119-120

    Research output: Contribution to journalEditorialResearch

  4. Published

    Image analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings

    Paulsen, R. R. (ed.) & Steenstrup Pedersen, Kim (ed.), 2015, Springer. (Lecture notes in computer science, Vol. 9127).

    Research output: Book/ReportBookResearchpeer-review

  5. Published

    Toward a Full probability Model of Edges in Natural Images

    Steenstrup Pedersen, Kim & Lee, A. B., 2002, Proceedings of the 7th European Conference on Computer Vision. Springer, p. 328-342

    Research output: Chapter in Book/Report/Conference proceedingReport chapterResearch

  6. Published

    Salient Point and Scale Detection by Minimum Likelihood

    Steenstrup Pedersen, Kim, Loog, M. & van Dorst, P., 2007, Gaussian processes in practice. Microtome Publishing, p. 59-72 14 p. (JMLR: Workshop and Conference Proceedings; No. 1).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. Published

    The Hausdorff Dimension and Scale-Space Normalisation of Natural Images

    Steenstrup Pedersen, Kim & Nielsen, M., 2000, In: Journal of Visual Communication and Image Representation. 11, 2, p. 266-277

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Minimum Likelihood Image Feature and Scale Detection Based on the Brownian Image Model

    Steenstrup Pedersen, Kim, van Dorst, P. & Loog, M., 2006

    Research output: Other contributionResearch

  9. Brownian Images: a generic background model

    Steenstrup Pedersen, Kim & Lillholm, Martin, 2004, Proceedings of the ECCV'04 Workshop on Statistical Learning in Computer Vision.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    The Hausdorff Dimension and Scale-Space Normalisation of Natural Images

    Steenstrup Pedersen, Kim & Nielsen, M., 1999, Scale-space Theories in Computer Vision. Berlin Heidelberg: Springer Science+Business Media, Vol. 1682. p. 271-282

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearch

ID: 545595