1. 2013
  2. Combining instance information to classify bags

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2013, Multiple Classifier Systems - Proceedings 11th International Workshop MCS 2013. Zhou, Z-H., Roli, F. & Kittler, J. (eds.). Berlin-Heidelberg: Springer Verlag, p. 13-24 12 p. (Lecture Notes in Computer Science; vol. 7872).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  3. Conditional random fields for protein function prediction

    Gehrmann, T., Loog, M., Reinders, MJT. & de Ridder, D., 2013, Pattern Recognition in Bioinformatics - Proceedings 8th IAPR International Conference PRIB 2013. Ngom, A., Formenti, E., Hao, J-K., Zhao, X-M. & van Laarhoven, T. (eds.). Berlin Heidelberg: Springer Verlag, p. 184-195 12 p. (Lecture Notes in Computer Science; vol. 7986).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  4. FiDOS: A generalized Fisher based feature extraction method for domain shift

    Dinh, VC., Duin, RPW., Piqueras-Salazar, I. & Loog, M., 2013, In : Pattern Recognition. 46, 9, p. 2510-2518 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Learning from weakly representative data and applications in spectral image analysis

    Dinh, VC., 2013, 112 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  6. Multi-scale pattern recognition for image classification and segmentation

    Li, Y., 2013, Delft, The Netherlands: INSY, TU Delft. 117 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  7. 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

  8. 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

  9. 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/Report/Conference proceedingChapterScientific

  10. 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 Verlag, p. 75-89 15 p. (Lecture Notes in Computer Science; vol. 7953).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  11. 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

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