1. 1999
  2. Approximate pairwise accuracy criteria for multiclass linear dimension in reduction

    Loog, M., 1999, Delft: Delft University Press. 69 p.

    Research output: Book/ReportReportScientific

  3. 2000
  4. Multi-class Linear Feature Extraction by Nonlinear PCA.

    Duin, RPW., Loog, M. & Haeb-Umbach, R., 2000, ICPR15, Proc. 15th Int. Conference on Pattern Recognition. Sanfeliu, A., Villanueva, JJ., Vanrell, M., Alquezar, R., Jain, AK. & Kittler, J. (eds.). Los Alamitos: IEEE Computer Society, p. 398-401 4 p. (International Conference on Pattern Recognition; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

  5. 2001
  6. Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria.

    Loog, M., Duin, RPW. & Haeb-Umbach, R., 2001, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 23, 7, p. 762-766 5 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. 2002
  8. Non-iterative heteroscedastic linear dimension reduction for two-class data; from Fisher to Chernoff

    Loog, M. & Duin, RPW., 2002, Structural, Syntactic, and Statistical Pattern Recognition, Proceedings. Caelli, T., Amin, A., Duin, RPW., Kamel, M. & de Ridder, D. (eds.). Berlin: Springer Verlag, p. 488-496 9 p. (Lecture Notes in Computer Science; vol. 2396).

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

  9. 2004
  10. Dimensionality reduction by canonical contextual correlation projections

    Loog, M., van Ginneken, B. & Duin, RPW., 2004, ECCV 2004; Proceedings of the eight European conference on computer vision. Pajdla, T. & Matas, J. (eds.). Berlin: Springer, p. 562-573 12 p.

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

  11. Linear dimensionality reduction via a heteroscedastic extention of LDA: The Chernoff criterion

    Loog, M. & Duin, RPW., 2004, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 26, 6, p. 732-739 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. Local Fisher embedding

    de Ridder, D., Loog, M. & Reinders, MJT., 2004, ICPR2004; Proceedings of the 17th international conference on pattern recognition. Kittler, J., Petrou, M. & Nixon, M. (eds.). Los Alamitos: IEEE Society, p. 295-298 4 p.

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

  13. Supervised dimensionality reduction and contextual pattern recognition in medical image processing

    Loog, M., 2004, S.l.: s.n.. 116 p.

    Research output: ThesisDissertation (external)Scientific

  14. The MDF discrimination measure: Fisher in disguise

    Loog, M., Duin, RPW. & Viergever, MA., 2004, In : Neural Networks. 17, p. 563-566 4 p.

    Research output: Contribution to journalArticleScientificpeer-review

  15. 2005
  16. Dimensionality reduction of image features using the canonical contextual correlation projection

    Loog, M., van Ginneken, B. & Duin, RPW., 2005, In : Pattern Recognition. 38, 12, p. 2409-2418 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

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