1. 2013
  2. Multi-spectral video endoscopy system for the detection of cancerous tissue

    Leitner, R., Biasio, MD., Arnold, T., Dinh, VC., Loog, M. & Duin, RPW., 2013, In : Pattern Recognition Letters. 34, 1, p. 85-93 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Multiple-instance learning as a classifier combining problem

    Li, Y., Tax, DMJ., Duin, RPW. & Loog, M., 2013, In : Pattern Recognition. 46, 3, p. 865-874 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Non-Euclidean dissimilarities: causes, embedding and informativeness

    Duin, RPW., Pekalska, E. & Loog, M., 2013, Similarity-based pattern analysis and recognition. Pelillo, M. (ed.). Berlin, Germany: Springer, p. 13-44 291 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

  5. On the informativeness of asymmetric dissimilarities

    Plasencia Calana, Y., Cheplygina, VV., Duin, RPW., García-Reyes, EB., Orozco-Alzate, M., Tax, DMJ. & Loog, M., 2013, Similarity-based pattern recognition - Proceedings Second International Workshop SIMBAD 2013. Hancock, E. & Pelillo, M. (eds.). Berlin-Heidelberg: Springer, p. 75-89 15 p. (Lecture Notes in Computer Science; vol. 7953).

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

  6. Stratified generalized procrustes analysis

    Bartoli, A., Pizarro, D. & Loog, M., 2013, In : International Journal of Computer Vision. 101, 2, p. 227-253 27 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. 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

  8. 2014
  9. Classification of COPD with multiple instance learning

    Cheplygina, VV., Sørensen, L., Tax, DMJ., Pedersen, JH., Loog, M. & Feragen, A., 2014, Proceedings of the 2014 22nd International Conference on Pattern Recognition. Los Alamitos, CA, USA: IEEE Society, p. 1508-1513 6 p.

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

  10. Diagnostic classification of arterial spin labeling and structural MRI in presenile early-stage dementia

    Bron, EE., Steketee, RME., Houston, G., Oliver, RA., Achterberg, HC., Loog, M., van Swieten, JC., Hammers, A., Niessen, WJ., Smits, M. & Klein, S., 2014, In : Human Brain Mapping. 35, p. 4916-4931 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. Evaluating Classification Performance with only Positive and Unlabeled Samples

    Hajizadeh, S., Li, Z., Dollevoet, RPBJ. & Tax, DMJ., 2014, Structural, Syntactic, and Statistical Pattern Recognition. Franti, P., Brown, G., Loog, M., Escolano, F. & Pelillo, M. (eds.). Berlin: Springer, p. 233-242 10 p. (Lecture Notes in Computer Science; vol. 8621).

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

  12. Metric learning in dissimilarity space for improved nearest neighbor performance

    Duin, RPW., Bicego, M., Orozco-Alzate, M., Kim, S-W. & Loog, M., 2014, Proceedings of the Joint IAPR International Workshop, S+SSPR 2014. Fränti, P., Brown, G., Loog, M., Escolano, F. & Pelillo, M. (eds.). Berlin Heidelberg Germany: Springer, p. 183-192 10 p. (Lecture Notes in Computer Science; vol. 8621).

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

Previous 1...6 7 8 9 10 11 12 13 ...17 Next