1. 2020
  2. Assumptions & Expectations in Semi-Supervised Machine Learning

    Mey, A., 2020, 117 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  3. 2019
  4. A dissimilarity-based multiple instance learning approach for protein remote homology detection

    Mensi, A., Bicego, M., Lovato, P., Loog, M. & Tax, D. M. J., 1 Dec 2019, In : Pattern Recognition Letters. 128, p. 231-236 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Multi-scale convolutional neural network for pixel-wise reconstruction of Van Gogh’s drawings

    Zeng, Y., van der Lubbe, J. C. A. & Loog, M., 1 Oct 2019, In : Machine Vision and Applications. 30, 7-8, p. 1229-1241 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Critical rainfall thresholds for urban pluvial flooding inferred from citizen observations

    Tian, X., ten Veldhuis, M. C., Schleiss, M., Bouwens, C. & van de Giesen, N., 2019, In : Science of the Total Environment. 689, p. 258-268 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Electrochemical recycling of rare earth elements from NdFeB magnet waste

    Venkatesan, P., 2019, 90 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  8. Gaussian process variance reduction by location selection

    Bottarelli, L. & Loog, M., 2019, In : Pattern Recognition Letters. 125, p. 727-734 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Hydrometallurgical recycling of rare earth elements from secondary resources

    Peelman, S., 2019, 139 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  10. Learning an MR acquisition-invariant representation using Siamese neural networks

    Kouw, W. M., Loog, M., Bartels, L. W. & Mendrik, A. M., 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) : Proceedings. Danvers: IEEE, p. 364-367 4 p.

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

  11. On the Statistical Detection of Adversarial Instances over Encrypted Data

    Sheikhalishahi, M., Nateghizad, M., Martinelli, F., Erkin, Z. & Loog, M., 2019, Security and Trust Management - 15th International Workshop, STM 2019, Proceedings. Mauw, S. & Conti, M. (eds.). Springer, p. 71-88 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11738 LNCS).

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

  12. PRECISE: A domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors

    Mourragui, S., Loog, M., van der Wiel, M. A., Reinders, M. & Wessels, L., 2019, In : Bioinformatics. 35, 14, p. i510-i519 10 p., btz372.

    Research output: Contribution to journalArticleScientificpeer-review

  13. Single shot active learning using pseudo annotators

    Yang, Y. & Loog, M., 2019, In : Pattern Recognition. 89, p. 22-31 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. 2018
  15. A benchmark and comparison of active learning for logistic regression

    Yang, Y. & Loog, M., 2018, In : Pattern Recognition. 83, p. 401-415 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  16. A variance maximization criterion for active learning

    Yang, Y. & Loog, M., 2018, In : Pattern Recognition. 78, p. 358-370 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  17. Afbraak zonder zuurstof, win-win-win

    van Lier, J., 2018, Afvalwater: Hoe maken we de cirkel weer rond?: biowetenschappen en maatschappij, kwartaal 2 2018. Vol. Cahier 2. p. 49-51 (biowetenschappen en maatschappij).

    Research output: Chapter in Book/Report/Conference proceedingChapterProfessional

  18. Bioinformatic Analysis of Genomic and Transcriptomic Variation in Fungi

    Gehrmann, T., 2018, 121 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  19. Contextual loss functions for optimization of convolutional neural networks generating pseudo CTs from MRI

    van Stralen, M., Zhou, Y., Wozny, P. J., Seevinck, P. R. & Loog, M., 2018, Medical Imaging 2018: Image Processing. Angelini, E. D. & Landman, B. A. (eds.). Bellingham: SPIE, p. 105741N-1 - 105741N-6 6 p. 105741N. (Proceedings of Spie; vol. 10574).

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

  20. De industrie en haar watergebruik

    Spanjers, H. & van Lier, J., 2018, Afvalwater: Hoe maken we de cirkel weer rond?: biowetenschappen en maatschappij, kwartaal 2 2018. Vol. Cahier 2. p. 45-48 (biowetenschappen en maatschappij).

    Research output: Chapter in Book/Report/Conference proceedingChapterProfessional

  21. Effects of sampling skewness of the importance-weighted risk estimator on model selection

    Kouw, W. & Loog, M., 2018, 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, p. 1468-1473 6 p.

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

  22. Gradient descent for gaussian processes variance reduction

    Bottarelli, L. & Loog, M., 2018, Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, Proceedings. Bai, X., Hancock, E. R., Ho, T. K., Wilson, R. C., Biggio, B. & Robles-Kelly, A. (eds.). Cham: Springer, p. 160-169 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11004 ).

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

  23. On domain-adaptive machine learning

    Kouw, W., 2018, 189 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  24. Protein remote homology detection using dissimilarity-based multiple instance learning

    Mensi, A., Bicego, M., Lovato, P., Loog, M. & Tax, D. M. J., 2018, Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, Proceedings. Bai, X., Hancock, E. R., Ho, T. K., Wilson, R. C., Biggio, B. & Robles-Kelly, A. (eds.). Cham: Springer, p. 119-129 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11004 ).

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

  25. Supervised Classification: Quite a Brief Overview

    Loog, M., 2018, Machine Learning Techniques for Space Weather. Camporeale, E., Wing, S. & Johnson, J. R. (eds.). Elsevier, p. 113-145 33 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterScientific

  26. Template Matching via Densities on the Roto-Translation Group

    Bekkers, E. J., Loog, M., ter Haar Romeny, B. M. & Duits, R., 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 2, p. 452-466 15 p., 7864477.

    Research output: Contribution to journalArticleScientificpeer-review

  27. The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning

    Krijthe, J. H. & Loog, M., 2018, NIPS'18: Proceedings of the 32nd International Conference on Neural Information Processing Systems. Bengio, S., Wallach, H. M., Larochelle, H., Grauman, K. & Cesa-Bianchi, N. (eds.). Curran Associates, Inc., p. 1793-1802 10 p.

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

  28. Towards Practical Active Learning for Classification

    Yang, Y., 2018, 133 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  29. 2017
  30. Projected estimators for robust semi-supervised classification

    Krijthe, J. H. & Loog, M., 1 Jul 2017, In : Machine Learning. 106, 7, p. 993-1008 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  31. A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection

    Plasencia-Calaña, Y., Li, Y., Duin, R. P. W., Orozco-Alzate, M., Loog, M. & García-Reyes, E., 2017, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, Proceedings. Beltrán-Castañón, C., Nyström, I. & Famili, F. (eds.). Cham: Springer International Publishing AG, p. 150-157 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10125 LNCS).

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

  32. Define and Let Go: An Interview with John Habraken

    Havik, K. & Teerds, H., 2017, Facing Value: Radical Perspectives From The Arts. Lauwaert, M. & van Westrenen, F. (eds.). Valiz, p. 313-320

    Research output: Chapter in Book/Report/Conference proceedingChapterPopular

  33. Do you trust your multiple instance learning classifier?

    Cheplygina, V., Sørensen, L., Tax, D., de Bruijne, M. & Loog, M., 2017, p. 72-73. 2 p.

    Research output: Contribution to conferenceAbstractScientific

  34. Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision

    Wu, J., Bai, X., Loog, M., Roli, F. & Zhou, Z-H., 2017, In : Pattern Recognition. 71, p. 444-445 2 p.

    Research output: Contribution to journalEditorialScientific

  35. Generalization Bound Minimization for Active Learning

    Viering, T., Krijthe, J. & Loog, M., 2017, p. 108-109. 2 p.

    Research output: Contribution to conferenceAbstractScientific

  36. Over culturele referentiekaders en ankerpunten: Aantekeningen bij een semantische zoektocht in Nederland en Vlaanderen: Essay

    Avermaete, T., 2017, Frankfurt dialogen: Aanleidingen voor een gesprek over architectuur. Raats, M. (ed.). Rotterdam: Het Nieuwe Instituut, p. 92-118

    Research output: Chapter in Book/Report/Conference proceedingChapterProfessional

  37. Reproducible pattern recognition research: The case of optimistic SSL

    Krijthe, J. H. & Loog, M., 2017, Reproducible Research in Pattern Recognition: 1st International Workshop, RRPR 2016, Revised Selected Papers. Kerautret, B., Colom, M. & Monasse, P. (eds.). Cham: Springer, p. 48-59 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10214 ).

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

  38. Retorische terughoudendheid: Essay

    Rosbottom, D., 2017, Frankfurt dialogen: Aanleidingen voor een gesprek over architectuur. Raats, M. (ed.). Rotterdam: Het Nieuwe Instituut, p. 64-90

    Research output: Chapter in Book/Report/Conference proceedingChapterProfessional

  39. Robust semi-supervised least squares classification by implicit constraints

    Krijthe, J. & Loog, M., 2017, In : Pattern Recognition. 63, p. 115-126 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  40. Supervised scale-regularized linear convolutionary filters

    Loog, M. & Lauze, F., 2017, British Machine Vision Conference 2017, BMVC 2017. BMVA Press, 11 p.

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

  41. The Infrastructure of Bare Life: Another Definition of Housing from and for the Global South

    Avermaete, T., 2017, Infrastructure Space. Ruby, I. & Ruby, A. (eds.). Berlin: Ruby Press, p. 250-263

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

  42. 2016
  43. Use of volunteers' information to support proactive inspection of hydraulic structures

    Cortes Arevalo, J., 26 Apr 2016, 177 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  44. A soft-labeled self-training approach

    Mey, A. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 2604-2609 6 p.

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

  45. Active Learning Using Uncertainty Information

    Yang, Y. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 2646-2651 6 p.

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

  46. An Empirical Investigation into the Inconsistency of Sequential Active Learning

    Loog, M. & Yang, Y., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 210-215 6 p.

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

  47. Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification

    Loog, M., 2016, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 38, 3, p. 462-475 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  48. Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings

    Carneiro, G. (ed.), Mateus, D. (ed.), Peter, L. (ed.), Bradley, A. (ed.), Tavares, J. M. R. S. (ed.), Belagiannis, V. (ed.), Papa, J. P. (ed.), Nascimento, J. C. (ed.), Loog, M. (ed.), Lu, Z. (ed.), Cardoso, J. S. (ed.) & Cornebise, J. (ed.), 2016, 1 ed. Springer. 280 p. (Lecture Notes in Computer Science: Image Processing, Computer Vision, Pattern Recognition, and Graphics; vol. 10008)

    Research output: Book/ReportBook editingScientificpeer-review

  49. Dissimilarity-based ensembles for multiple instance learning

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2016, In : IEEE Transactions on Neural Networks and Learning Systems. 27, 6, p. 1379-1391 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  50. Early Experiences with Crowdsourcing Airway Annotations in Chest CT

    Cheplygina, V., Perez-Rovira, A., Kuo, W., Tiddens, H. A. W. M. & Bruijne, M. D., 2016, Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Proceedings. Carneiro, G., Mateus, D., Peter, L., Bradley, A., Tavares, J. M. R. S., Belagiannis, V., Papa, J. P., Nascimento, J. C., Loog, M., Lu, Z., Cardoso, J. S. & Cornebise, J. (eds.). Cham: Springer, p. 209-2018 10 p. (Lecture Notes in Computer Science; vol. 10008).

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

  51. Feature-Level Domain Adaptation

    Kouw, W., van der Maaten, L., Krijthe, J. & Loog, M., 2016, In : Journal of Machine Learning Research . 17, p. 1-32 32 p.

    Research output: Contribution to journalArticleScientificpeer-review

  52. Learning Algorithms for Digital Reconstruction of Van Gogh’s Drawings

    Zeng, Y., Tang, J., van der Lubbe, J. & Loog, M., 2016, EuroMed 2016 - 6th International Conference - Proceedings: Digital Heritage - Progress in Cultural Heritage: Documentation, Preservation, and Protection. Ioannides, M., Vink, E., Moropoulou, A., Hagedorn-Saupe, M., Fresa, A., Liestøl, G., Rajcic, V. & Grussenmeyer, P. (eds.). Cham: Springer International Publishing, Vol. 1. p. 322-333 12 p. (Lecture Notes in Computer Science; vol. 10058).

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

  53. On Regularization Parameter Estimation under Covariate Shift

    Kouw, W. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 426-431 6 p.

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

  54. Optimistic semi-supervised least squares classification

    Krijthe, J. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, p. 1677-1682 6 p.

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

  55. Optimum Single Molecule Localization Microscopy: From Single Molecule Detections to Nanoscopic Observations

    Smith, C., 2016, 210 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  56. Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings

    Robles-Kelly, A. (ed.), Loog, M. (ed.), Biggio, B. (ed.), Escolano, F. (ed.) & Wilson, R. (ed.), 2016, Cham: Springer International Publishing. 378 p. (Lecture Notes in Computer Science; vol. 10029)

    Research output: Book/ReportBook editingScientificpeer-review

  57. The Peaking Phenomenon in Semi-supervised Learning

    Krijthe, J. & Loog, M., 2016, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, proceedings. Robles-Kelly, A., Loog, M., Biggio, B., Escolano, F. & Wilson, R. (eds.). Cham: Springer, p. 299-309 11 p. (Lecture Notes in Computer Science; vol. 10029).

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

  58. The Similarity Between Dissimilarities

    Tax, D., Cheplygina, V., Duin, B. & van de Poll, J., 2016, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, proceedings. Robles-Kelly, A., Loog, M., Biggio, B., Escolano, F. & Wilson, R. (eds.). Cham: Springer, p. 84-94 11 p. (Lecture Notes in Computer Science; vol. 10029).

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

  59. 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/Report/Conference proceedingConference contributionScientificpeer-review

  60. 2015
  61. Housing pathology

    Thomsen, A., 2015, Proceedings of the 1st International Symposium on Building Pathology: ISBP-2015. de Freitas, V. P., de Angelis, E., Corvacho, H., Delgado, J. M. P. Q. & Guimaraes, A. S. (eds.). Porto: FEUP, p. 377-388

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

  62. Implicitly Constrained Semi-Supervised Least Squares Classification

    Krijthe, JH. & Loog, M., 2015, Proceedings of the 14th International Symposium on Advances in Intelligent Data Analysis XIV. Fromont, T., de Bie, T. & van Leeuwen, M. (eds.). Dordrecht: Springer, p. 158-169 12 p. (Lecture Notes in Computer Science; vol. 9385).

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

  63. Label stability in multiple instance learning

    Cheplygina, VV., Sørensen, L., Tax, DMJ., de Bruijne, M. & Loog, M., 2015, Proceedings - 18th International Conference on Medical Image Computing and Computer-Assisted Intervention. Hornegger, J., Navab, N., Wells, WM. & Frangi, AF. (eds.). Cham: Springer, p. 539-546 8 p. (Lecture Notes in Computer Science; vol. 9349).

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

  64. Multiple instance learning with bag dissimilarities

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2015, In : Pattern Recognition. 48, 1, p. 264-275 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  65. On classification with bags, groups and sets

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2015, In : Pattern Recognition Letters. 59, July, p. 11-17 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  66. Relevance sampling

    Nielsen, M., Markussen, B. & Loog, M., 2015, Proceedings of the 8ht Workshop on Information Theoretic Methods in Science and Engineering. Rissanen, J., Harremoes, P., Forchhammer, S., Roos, T. & Myllymaki, P. (eds.). Helsinki: University of Helsinki, p. 35-38 4 p.

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

  67. Semi-supervised nearest mean classification through a constrained log-likelihood

    Loog, M. & Jensen, AC., 2015, In : IEEE Transactions on Neural Networks. 26, 5, p. 995-1006 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  68. Single- vs. multiple-instance classification

    Alpaydin, E., Cheplygina, VV., Loog, M. & Tax, DMJ., 2015, In : Pattern Recognition. 48, 9, p. 2831-2838 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  69. 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/Report/Conference proceedingConference contributionScientificpeer-review

  70. 2014
  71. 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/Report/Conference proceedingConference contributionScientificpeer-review

  72. 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

  73. 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/Report/Conference proceedingConference contributionScientificpeer-review

  74. 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/Report/Conference proceedingConference contributionScientificpeer-review

  75. Network guided group feature selection for classification of autism spectrum disorder

    Cheplygina, VV., Tax, DMJ., Loog, M. & Feragen, A., 2014, In : Lecture Notes in Computer Science. 8679, p. 1-8 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  76. Network-guided group feature selection for classification of autism spectrum disorder

    Cheplygina, VV., Tax, DMJ., Loog, M. & Feragen, A., 2014, Proceedings 5th International workshop MLMI 2014, held in conjunction with MICCAI 2014. Wu, G., Zhang, D. & Zhou, L. (eds.). Springer, p. 190-197 8 p. (Lecture Notes in Computer Science; vol. 8679).

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

  77. Semi-hidden target recognition in gated viewer images fused with thermal IR images

    Smeelen, MA., Schwering, PBW., Toet, A. & Loog, M., 2014, In : Information Fusion. 18, 1, p. 131-147 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

  78. Semi-supervised linear discriminant analysis through moment-constraint parameter estimation

    Loog, M., 2014, In : Pattern Recognition Letters. 37, 1, p. 24-31 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  79. 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/Report/Conference proceedingConference contributionScientificpeer-review

  80. 2013
  81. 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, p. 13-24 12 p. (Lecture Notes in Computer Science; vol. 7872).

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

  82. 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, p. 184-195 12 p. (Lecture Notes in Computer Science; vol. 7986).

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

  83. 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

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

    Dinh, VC., 2013, 112 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  85. 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

  86. 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

  87. 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

  88. 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

  89. 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/Report/Conference proceedingConference contributionScientificpeer-review

  90. 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

  91. 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/Report/Conference proceedingConference contributionScientificpeer-review

  92. 2012
  93. A study on semi-supervised dissimilarity representation

    Dinh, VC., Duin, RPW. & Loog, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 2862-2864 3 p.

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

  94. Automated classification of local patches in colon histopathology

    Kalkan, H., Nap, M., Duin, RPW. & Loog, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 61-64 4 p.

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

  95. Automated colorectal cancer diagnosis for whole-slice histopathology

    Kalkan, H., Nap, M., Duin, RPW. & Loog, M., 2012, In : Lecture Notes in Computer Science. 7512, p. 550-557 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  96. Bag dissimilarities for multiple instance learning

    Cheplygina, VV., Tax, DMJ., Duin, RPW., Lee, WJ. & Loog, M., 2012, p. 58-58. 1 p.

    Research output: Contribution to conferenceAbstractScientific

  97. Bridging structure and feature representations in graph matching

    Lee, WJ., Cheplygina, VV., Tax, DMJ., Loog, M. & Duin, RPW., 2012, In : International Journal of Pattern Recognition and Artificial Intelligence. 26, 5, p. 1260005-1-1260005-22

    Research output: Contribution to journalArticleScientificpeer-review

  98. Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

    Prasoon, A., Igel, C., Loog, M., Lauze, F., Dam, E. & Nielsen, M., 2012, In : Proceedings of SPIE- International Society for Optical Engineering. 8314, p. 1-9 9 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  99. Class-dependent dissimilarity measures for multiple instance learning

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2012, In : Lecture Notes in Computer Science. 7626, p. 602-610 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  100. Constrained log-likelihood-based semi-supervised linear discriminant analysis

    Loog, M. & Jensen, AC., 2012, In : Lecture Notes in Computer Science. 7626, p. 327-335 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  101. Does one rotten apple spoil the whole barrel?

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). IJSCI, p. 1156-1159 4 p.

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

  102. Improving cross-validation based classifier selection using meta-learning

    Krijthe, JH., Nap, M. & Loog, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 2873-2867 5 p.

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

  103. Metric learning by directly minimizing the k-NN training error

    Dinh, VC., Loog, M. & Nielsen, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 1265-1268 4 p.

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

  104. Mode seeking clustering by KNN and mean shift evaluated

    Duin, RPW., Fred, ALN., Loog, M. & Pekalska, E., 2012, In : Lecture Notes in Computer Science. 7626, p. 51-59 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  105. Moment constrained semi-supervised LDA

    Loog, M., 2012, Proceedings of the the 24th Benelux conference on artificial intelligence. Uiterwijk, JWHM., Roos, N. & Winands, MHM. (eds.). Maastricht, Netherlands: Maastricht University, p. 303-304 2 p.

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

  106. Multi-spectral video endoscopy system for the detection of cancerous tissue

    Leitner, R., de Biasio, M., Arnold, T., Dinh, VC., Loog, M. & Duin, RPW., 2012, In : Pattern Recognition Letters. 34, 1, p. 85-93 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  107. Multiple-instance learning as a classifier combining problem

    Li, Y., Tax, DMJ., Duin, RPW. & Loog, M., 2012, In : Pattern Recognition. 46, 3

    Research output: Contribution to journalArticleScientificpeer-review

  108. Nearest neighbor-based importance weighting

    Loog, M., 2012, The 2012 IEEE workshop on machine learning for signal processing (MLSP) proceedings. SN (ed.). NY, NY, USA: IEEE Society, p. 1-6 6 p.

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

  109. Semi-supervised linear discriminant analysis using moment constraints

    Loog, M., 2012, In : Lecture Notes in Computer Science. 7081, p. 32-41 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  110. Shape-based assessment of vertebral fracture risk in postmenopausal women using discriminative shape alignment

    Crimi, A., Loog, M., Bruijne, M. D., Nielsen, M. & Lillholm, M., 2012, In : Academic Radiology. 19, 4, p. 446-454 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  111. Supervised localization of cell nuclei on TMA images

    Ibba, A., Duin, RPW. & Loog, M., 2012, Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). Liu, D. & Zhou et al, SK. (eds.). Piscataway, NJ, USA: IEEE Society, p. 4321-4327 7 p.

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

  112. Supervised scale-invariant segmentation (and detection)

    Li, Y., Tax, DMJ. & Loog, M., 2012, In : Lecture Notes in Computer Science. 6667, p. 350-361 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  113. The dipping phenomenon

    Loog, M. & Duin, RPW., 2012, In : Lecture Notes in Computer Science. 7626, p. 310-317 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  114. 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

  115. 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/Report/Conference proceedingConference contributionScientificpeer-review

  116. 2011
  117. A study of detecting cancer tissues in multispectral endoscopy data

    Dinh, VC., Loog, M., Duin, RPW., Leitner, R. & Rajadell, O., 2011, ICT.Open 2011. Smeulders, A., Karelse, F., van der Drift, R. & Stroobandt, D. (eds.). Veldhoven, The Netherlands: STW, p. 1-6 6 p.

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

  118. Bag dissimilarities for multiple instance learning

    Tax, DMJ., Loog, M., Duin, RPW., Cheplygina, VV. & Lee, WJ., 2011, In : Lecture Notes in Computer Science. 7005, p. 222-234 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  119. Dissimilarity-based detection of schizophrenia

    Ulas, A., Duin, RPW., Castellani, U., Loog, M., Mirtuono, P., Bicego, M., Murino, V., Bellani, M., Cerutti, S., Tansella, M. & Brambilla, P., 2011, In : International Journal of Imaging Systems and Technology. 21, 2, p. 179-192 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  120. Forming different-complexity covariance-model subspaces through piecewise-constant spectra for hyperspectral image classification

    Jensen, AC. & Loog, M., 2011, In : Lecture Notes in Computer Science. 6688, p. 186-195 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  121. Generalized augmentation of multiple kernels

    Lee, WJ., Duin, RPW. & Loog, M., 2011, In : Lecture Notes in Computer Science. p. 116-125 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  122. Information theoretic preattentive saliency

    Loog, M., 2011, 2011 IEEE International Conference on Computer Vision Workshops. Escolano, F., Rangarajan, A., Yuille, AL. & Hancock, ER. (eds.). Piscataway, NJ, USA: IEEE Society, p. 1418-1424 7 p.

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

  123. On combining computer-aided detection systems

    Niemeijer, M., Loog, M., Abramhoff, MD., Viergever, MA., Prokop, M. & van Ginneken, B., 2011, In : IEEE Transactions on Medical Imaging. 30, 2, p. 215-223 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  124. Question classification by weighted combination of lexical, syntactic and semantic features

    Loni, B., van Tulder, G., Wiggers, P., Tax, DMJ. & Loog, M., 2011, In : Lecture Notes in Computer Science. 6836, p. 243-250 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  125. SEDMI: Saliency based edge detection in multispectral images

    Dinh, VC., Leitner, R., Paclik, P., Loog, M. & Duin, RPW., 2011, In : Image and Vision Computing. p. 546-556 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  126. Supervised image segmentation with scale invariance

    Li, Y., Tax, DMJ. & Loog, M., 2011, ICT.Open 2011. Smeulders, A., Karelse, F., van der Drift, R. & Stroobandt, D. (eds.). Veldhoven, The Netherlands: STW, p. 1-6 6 p.

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

  127. Supervised localization of cell nuclei using dissimilarities.

    Ibba, A., Loog, M. & Duin, RPW., 2011, ICT.Open 2011. Smeulders, A., Karelse, F., van der Drift, R. & Stroobandt, D. (eds.). Veldhoven, The Netherlands: STW, p. 1-6 6 p.

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

  128. 2010
  129. A framework for optimizing measurement weight maps to minimize

    Qazi, AA., Jørgensen, DR., Lillholm, M., Loog, M., Nielsen, M. & Dam, EB., 2010, In : Medical Image Analysis. 14, 3, p. 255-264 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  130. A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer

    Nielsen, M., Karemore, G., Loog, M., Raundahl, J., Karssemeijer, N., Otten, JDM., Karsdal, MA., Vachon, CM. & Christiansen, C., 2010, In : Cancer Epidemiology: the international journal of cancer epidemiology, detection and prevention. 35, 4, p. 381-387 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  131. A texton-based approach for the classification of lung parenchyma in CT images

    Gangeh, MJ., Sørensen, L., Shaker, SB., Kamel, MS., Bruijne, M. D. & Loog, M., 2010, In : Lecture Notes in Computer Science. 6363, p. 595-602 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  132. An experimental study on combining Euclidean distances

    Lee, WJ., Duin, RPW., Ibba, A. & Loog, M., 2010, Proceedings of the 2nd International Workshop on Cognitive Information Processing (CIP), 2010. S.N. (ed.). NY, NY, USA: IEEE Society, p. 304-309 6 p.

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

  133. An experimental study on combining Euclidean distances

    Lee, WJ., Duin, RPW., Ibba, A. & Loog, M., 2010, 2010 2nd International Workshop on Cognitive Information Processing (CIP 2010). Gini, F., Theodoridis, S., Greco, MS. & Debbah, M. (eds.). New York, NY, USA: IEEE Society, p. 304-309 6 p.

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

  134. Automatic classification of municipal call data for quantitative urban drainage system analysis

    ten Veldhuis, JAE., Harder, RC. & Loog, M., 2010, 1st European IAHR Congress. s.n. (ed.). Edinburgh: IAHR, p. 1-6 6 p.

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

  135. Automatic classification of municipal call data to support quantitative risk analysis of urban drainage systems

    ten Veldhuis, JAE., Harder, RC. & Loog, M., 2010, In : Structure & Infrastructure Engineering: maintenance, management, life-cycle design & performance. 2010, november, p. 1744-8980 7237 p.

    Research output: Contribution to journalArticleScientificpeer-review

  136. Breast density changes associated with postmenopausal hormone therapy: post hoc radiologist- and computer-based analyses

    Nielsen, M., Pettersen, PC., Alexandersen, PMD., Karemore, G., Raundahl, J., Loog, M. & Christiansen, C., 2010, In : Menopause. 17, 4, p. 772-778 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  137. Constrained parameter estimation for semi-supervised learning: The case of the nearest mean classifier

    Loog, M., 2010, In : Lecture Notes in Artificial Intelligence. 6322, p. 291-304 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  138. Dissimilarity-based detection of schizophrenia

    Ulas, A., Duin, RPW., Castellani, U., Loog, M., Bicego, M. & Murino, M., 2010, Proceedings of the ICPR 2010 workshop on Pattern Recognition Challenges in FMRI Neuroimaging, 2010. S.N. (ed.). NY,NY, USA: IEEE Society, p. 32-35 4 p.

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

  139. Dissimilarity-based multiple instance learning

    Sørensen, L., Loog, M., Tax, DMJ., Lee, WJ., Bruijne, M. D. & Duin, RPW., 2010, In : Lecture Notes in Computer Science. 6218, p. 129-138 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  140. Early diagnosis of dementia based on intersubject whole-brain dissimilarities

    Klein, S., Loog, M., van der Lijn, F., den Heijer, T., Hammers, A., Bruijne, M., van der Lugt, A., Duin, RPW., Breteler, MMB. & Niessen, WJ., 2010, Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. S.N. (ed.). Piscataway, NJ USA: IEEE Society, p. 249-252 4 p.

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

  141. Feature-based dissimilarity space classification

    Duin, RPW., Loog, M., Pekalska, EM. & Tax, DMJ., 2010, In : Lecture Notes in Computer Science. 6388, p. 46-55 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  142. Image dissimilarity-based quantification of lung disease from CT

    Sørensen, L., Loog, M., Lo, P., Ashraf, H., Dirksen, A., Duin, RPW. & Bruijne, M. D., 2010, In : Lecture Notes in Computer Science. 6361, p. 37-44 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  143. L'exception Néérlandaise

    Elsinga, M. & Wassenberg, FAG., 2010, Le Loogement social en Europe au début du XXIe siècle la révision générale. Lévy-Vroeland, C. & Tutin, C. (eds.). Rennes: Presses Universitaires de Rennes, p. 49-65 247 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterScientific

  144. Quantitative comparison of spot detection methods in fluorescence microscopy

    Smal, I., Loog, M., Niessen, W. & Meijering, E., 2010, In : IEEE Transactions on Medical Imaging. 29, 2, p. 282-301 20 p.

    Research output: Contribution to journalArticleScientificpeer-review

  145. Stratified generalized procrustes analysis

    Bartoli, A., Pizarro, D. & Loog, M., 2010, Proceedings of the British Machine Vision Conference 2010. Labrosse, F., Zwiggelaar, R., Liu, Y. & Tiddeman, B. (eds.). Malvern, UK: BVMA Press, p. 1-10 10 p.

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

  146. 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

  147. 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

  148. 2009
  149. An initial study into image segmentation by combining multi-scale information

    Li, Y., Tax, DMJ. & Loog, M., 2009, Proceedings of the fifteenth annual conference of the Advanced School for Computing and Imaging. Gevers, T., Bos, HJ. & Wolters, L. (eds.). Delft: ASCI, p. 1-6 6 p.

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

  150. Bicycle chain shape models

    Sommer, SM., Tatu, A., Chen, Q., Jurgensen, DR., Bruijne, M., Loog, M., Nielsen, M. & Lauze, F., 2009, Proceedings of the Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. Sn (ed.). Piscataway,NJ, USA: IEEE Society, p. 157-163 7 p.

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

  151. Dense interative contextual pixel classification using kriging

    Ganz, M., Loog, M., Brandt, S. & Nielsen, M., 2009, Proceedings of the Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. Sn (ed.). Piscataway,NJ, USA: IEEE Society, p. 87-93 7 p.

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

  152. Discriminative shape alignment

    Loog, M. & Bruijne, M., 2009, In : Lecture Notes in Computer Science. 5636, p. 459-466 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  153. Identification of progressors in osteoarthritis by combining biochemical and MRI-based markers

    Dam, EB., Loog, M., Christiansen, C., Byrjalsen, I., Folkerson, J., Nielsen, M., Qazi, AA., Pettersen, PC., Garnero, P. & Karsdal, MA., 2009, In : Arthritis Research & Therapy. 11, 4, p. 1-11 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  154. Low-dose transdermal estradiol induces breast density and heterogeneity changes comparable to those of raloxifene

    Nielsen, M., Raundahl, J., Pettersen, PC., Loog, M., Karemore, G., Karsdal, MA. & Christiansen, C., 2009, In : Menopause. 16, 4, p. 785-791 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  155. Maximum membership scale selection

    Loog, M., Li, Y. & Tax, DMJ., 2009, In : Lecture Notes in Computer Science. 5519, p. 468-477 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  156. Navigation 3D sans Reconstruction Explicite

    Peyras, J., Bartoli, A., Georgel, P. & Loog, M., 2009, Actes des Orasis09. SN (ed.). Frankrijk: Association Française pour la Reconnaissance et l'Interprétation des Formes (AFRIF)., p. 1-8 8 p.

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

  157. Optimal mean-precision classifier

    Tax, DMJ., Loog, M. & Duin, RPW., 2009, In : Lecture Notes in Computer Science. 5519, p. 72-81 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  158. Quantative comperison of spot detection methods in live-cell fluoresence microscopy imaging

    Smal, I., Loog, M., Niessen, W. & Meijering, E., 2009, 2009 6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro proceedings. S. Reeves (ed.). Piscataway,NJ, USA: IEEE Society, p. 1178-1181 4 p.

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

  159. Quantitative comparison of spot detection methods in live-cell fluorescence microscopy imaging

    Smal, I., Loog, M., Niessen, WJ. & Meijering, E., 2009, IEEE International Symposium on Biomedical Imaging: From Nano to Macro - ISBI 2009. s.n. (ed.). s.n., p. 1178-1181 4 p.

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

  160. 2008
  161. A note on an extreme case of the generalized optimal discriminant transformation

    Loog, M., Wu, X-J., Lu, J. -P., Yang, J-Y., Wang, S-T. & Kittler, J., 2008, In : Neurocomputing. 72, p. 664-665 2 p.

    Research output: Contribution to journalArticleScientificpeer-review

  162. A variational method for automatic localization of the most pathological ROI in the knee Cartilage

    Qazi, AA., Dam, EB., Loog, M., Nielsen, M., Lauze, F. & Christiansen, C., 2008, Medical Imaging 2008: Image processing. Reinhardt, JM. & Pluim, JPW. (eds.). SPIE, p. 1-9 9 p.

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

  163. Automated effect-specific mammographic pattern messures

    Raundahl, J., Loog, M., Pettersen, P., Tanko, LB. & Nielsen, M., 2008, In : IEEE Transactions on Medical Imaging. 27, 8, p. 1054-1060 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  164. Efficient segmentation by sparse pixel classification

    Dam, EB. & Loog, M., 2008, In : IEEE Transactions on Medical Imaging. 27, 10, p. 1525-1534 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  165. On an elementary definition of visual saliency

    Loog, M., 2008, p. 4-4. 1 p.

    Research output: Contribution to conferenceAbstractScientific

  166. On distributional assumptions and whitened cosine similarities

    Loog, M., 2008, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 30, 6, p. 1114-115 998 p.

    Research output: Contribution to journalArticleScientificpeer-review

  167. On the equivalence of linear dimensionality-reducing transformations

    Loog, M., 2008, In : Journal of Machine Learning Research . 9, p. 2489-2490 2 p.

    Research output: Contribution to journalArticleScientificpeer-review

  168. Parallel assessment of the impact of different hormone replacement therapies on breast density by radiologist- and computer-based analyses of mammograms

    Pettersen, PC., Raundahl, J., Loog, M., Nielsen, M., Tanko, LB. & Christiansen, C., 2008, In : Climacteric. 2, p. 135-143 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  169. Second order structure of scale-space measurements

    Markussen, B., Steenstrup Pedersen, K. & Loog, M., 2008, In : Journal of Mathematical Imaging and Vision. 31, 2-3, p. 207-220 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  170. 2006
  171. Local discriminant analysis

    Loog, M. & de Ridder, D., 2006, Proceedings of the 18th international conference on pattern recognition. s.n. (ed.). USA: IEEE Society, p. 1-4 4 p.

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

  172. Recent submissions in linear dimensionality reduction and face recognition

    Duin, RPW., Loog, M. & Ho, TK., 2006, Elsevier.

    Research output: Other contributionScientific

  173. 2005
  174. 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

  175. 2004
  176. 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

  177. 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

  178. 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

  179. 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

  180. 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

  181. 2002
  182. 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, p. 488-496 9 p. (Lecture Notes in Computer Science; vol. 2396).

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

  183. 2001
  184. 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

  185. 2000
  186. 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

  187. 1999
  188. Approximate pairwise accuracy criteria for multiclass linear dimension in reduction

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

    Research output: Book/ReportReportScientific