Kim Steenstrup Pedersen

Kim Steenstrup Pedersen

Sektionsleder, Professor

ORCID: 0000-0003-3713-0960

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.

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  1. Published

    A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation

    Kouw, W. M., Ørting, S. N., Petersen, Jens, Steenstrup Pedersen, Kim & de Bruijne, Marleen, 1 Jan 2019, Information Processing in Medical Imaging : 26th International Conference, IPMI 2019, Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (eds.). Springer, p. 360-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11492 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  2. Published

    A Novel PLS2-Based Algorithm for Imputing Missing Values in Foodomics/Metabolomics Studies with multiple response variables

    Tashk, Ashkan, Engelsen, Søren Balling, Khakimov, Bekzod, Steenstrup Pedersen, Kim, Sørensen, Klavs Martin & Engstrøm, Ole-Christian Galbo, 2023.

    Research output: Contribution to conference › Poster › Research › peer-review

  3. Published

    A SVD Based Image Complexity Measure

    Gustafsson, D. K. J., Steenstrup Pedersen, Kim & Nielsen, Mads, 2009, VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS. Vol. 2. p. 34-39 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. Published

    A curious robot: An explorative-exploitive inference algorithm

    Steenstrup Pedersen, Kim & Johansen, P., 2007, RoboMat 07: Coimbra, Portugal, 17-19 September, 2007. Araujo, H. & Ribeiro, M. I. (eds.). CIM (Centro Internacional de Matematica), p. 51-57 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. Published

    A physically natural metric for human motion and the associated Brownian motion model

    Hauberg, S. & Steenstrup Pedersen, Kim, 2011.

    Research output: Contribution to conference › Conference abstract for conference › Research

  6. Published

    A scale invariant covariance structure on jet space

    Steenstrup Pedersen, Kim, Loog, M. & Markussen, Bo, 2005, Deep Structure, Singularities, and Computer Vision. <Forlag uden navn>, p. 12-23 (Lecture notes in computer science, Vol. 3753/2005).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. Published

    Absolute and Relative Pose Estimation in Refractive Multi View

    Hu, X., Lauze, Francois Bernard, Steenstrup Pedersen, Kim & Melou, J., 2021, Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, p. 2569-2578

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Published

    Active learning with support vector machines

    Kremer, J., Steenstrup Pedersen, Kim & Igel, Christian, 2014, In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 4, 4, p. 313-326 14 p.

    Research output: Contribution to journal › Review › Research › peer-review

  9. 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 proceeding › Article in proceedings › Research › peer-review

  10. Published

    Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios

    Engstrøm, Ole-Christian Galbo, Dreier, E. S., Jespersen, Birthe P Møller & Steenstrup Pedersen, Kim, 2023, arxiv.org. 21 p.

    Research output: Book/Report › Report › Research

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