1. The improbability of Harris interest points

    Loog, M. & Lauze, F., 2010, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 32, 6, p. 1141-1147 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  2. The link between multiple-instance learning and learning from only positive and unlabelled examples

    Li, Y., Tax, DMJ., Duin, RPW. & Loog, M., 2013, Proceedings 11th International Workshop on Multiple Classifier Systems. Zhou, Z-H., Roli, F. & Kittler, J. (eds.). Berlin-Heidelberg: Springer, p. 157-166 10 p. (Lecture Notes in Computer Science; vol. 7872).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  3. Towards Practical Active Learning for Classification

    Yang, Y., 2018, 133 p.

    Research output: ThesisDissertation (TU Delft)

  4. Towards exaggerated emphysema stereotypes

    Chen, C., Sørensen, L., Lauze, F., Igel, C., Loog, M., Feragen, A., Bruijne, M. D. & Nielsen, M., 2012, In : Proceedings of SPIE- International Society for Optical Engineering. 8315, p. 1-13 13 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  5. Towards scalable prototype selection by genetic algorithms with fast criteria

    Plasencia Calana, Y., Orozco Alzate, M., Mendez-Vasquez, H., García-Reyes, EB. & Duin, RPW., 2014, Proceedings of the Joint IAPR International Workshop, S+SSPR 2014. Fränti, P., Brown, G., Loog, M., Escolano, F. & Peilllo, M. (eds.). Berlin Heidelberg, Germany: Springer, p. 343-352 10 p. (Lecture Notes in Computer Science; vol. 8621).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  6. Training data selection for cancer detection in multispectral endoscopy images

    Dinh, VC., Nap, M., Leitner, R., Loog, M. & Duin, RPW., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 161-164 4 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  7. Training of templates for object recognition in invertible orientation scores: Application to optic nerve head detection in retinal images

    Bekkers, E., Duits, R. & Loog, M., 2015, Proceedings - 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition. Tai, XC., Bae, E., Chan, TF. & Lysaker, M. (eds.). Cham, Switzerland: Springer, p. 464-477 14 p. (Lecture Notes in Computer Science; vol. 8932).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  8. Using multiscale spectra in regularizing covariance matrices for hyperspectral image classification

    Jensen, AFC., Loog, M. & Solberg, AHS., 2010, In : IEEE Transactions on Geoscience and Remote Sensing. 48, 4, p. 1851-1859 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Weighted K-Nearest Neighbor Revisited

    Bicego, M. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 1642-1647 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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