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Marco Loog: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. A. Kai Qin, S. Y. M. Shi, Ponnuthurai N. Suganthan, Marco Loog
    Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:851-855 [Conf]
  2. Marco Loog, Kim Steenstrup Pedersen, Bo Markussen
    Maximum Likely Scale Estimation. [Citation Graph (0, 0)][DBLP]
    DSSCV, 2005, pp:146-156 [Conf]
  3. Bo Markussen, Kim Steenstrup Pedersen, Marco Loog
    A Scale Invariant Covariance Structure on Jet Space. [Citation Graph (0, 0)][DBLP]
    DSSCV, 2005, pp:12-23 [Conf]
  4. Marco Loog
    Support Blob Machines. The Sparsification of Linear Scale Space. [Citation Graph (0, 0)][DBLP]
    ECCV (4), 2004, pp:14-24 [Conf]
  5. Marco Loog, Bram van Ginneken
    Bony Structure Suppression in Chest Radiographs. [Citation Graph (0, 0)][DBLP]
    CVAMIA, 2006, pp:166-177 [Conf]
  6. Marco Loog, Bram van Ginneken, Robert P. W. Duin
    Dimensionality Reduction by Canonical Contextual Correlation Projections. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2004, pp:562-573 [Conf]
  7. Erik Dam, Marco Loog, Marloes M. J. Letteboer
    Integrating Automatic and Interactive Brain Tumor Segmentation. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:790-793 [Conf]
  8. Robert P. W. Duin, Marco Loog, Reinhold Haeb-Umbach
    Multi-Class Linear Feature Extraction by Nonlinear PCA. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2398-2401 [Conf]
  9. Bram van Ginneken, Marco Loog
    Pixel Position Regression - Application to Medical Image Segmentation. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:718-721 [Conf]
  10. Marco Loog
    Conditional Linear Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2006, pp:387-390 [Conf]
  11. Marco Loog, Bram van Ginneken
    Supervised Segmentation by Iterated Contextual Pixel Classification. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2002, pp:925-928 [Conf]
  12. Marco Loog, Bram van Ginneken
    Static Posterior Probability Fusion for Signal Detection: Applications in the Detection of Interstitial Diseases in Chest Radiographs. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2004, pp:644-647 [Conf]
  13. Marco Loog, Dick de Ridder
    Local Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:328-331 [Conf]
  14. A. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog
    Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:125-128 [Conf]
  15. Dick de Ridder, Marco Loog, Marcel J. T. Reinders
    Local Fisher Embedding. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:295-298 [Conf]
  16. Jakob Raundahl, Marco Loog, Mads Nielsen
    Understanding Hessian-Based Density Scoring. [Citation Graph (0, 0)][DBLP]
    Digital Mammography / IWDM, 2006, pp:447-452 [Conf]
  17. Arnold M. R. Schilham, Bram van Ginneken, Marco Loog
    Multi-scale Nodule Detection in Chest Radiographs. [Citation Graph (0, 0)][DBLP]
    MICCAI (1), 2003, pp:602-609 [Conf]
  18. Marco Loog, Johannes Jisse Duistermaat, Luc Florack
    On the Behavior of Spatial Critical Points under Gaussian Blurring. A Folklore Theorem and Scale-Space Constraints. [Citation Graph (0, 0)][DBLP]
    Scale-Space, 2001, pp:183-192 [Conf]
  19. Marco Loog, Martin Lillholm, Mads Nielsen, Max A. Viergever
    Gaussian Scale Space from Insufficient Image Information. [Citation Graph (0, 0)][DBLP]
    Scale-Space, 2003, pp:757-769 [Conf]
  20. Marco Loog
    Generic Blind Source Separation Using Second-Order Local Statistics. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:844-852 [Conf]
  21. Marco Loog, Robert P. W. Duin
    Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:508-517 [Conf]
  22. Marco Loog, Robert P. W. Duin, Max A. Viergever
    The MDF discrimination measure: Fisher in disguise. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:4, pp:563-566 [Journal]
  23. Marco Loog, Robert P. W. Duin, Reinhold Haeb-Umbach
    Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:7, pp:762-766 [Journal]
  24. Marco Loog, Robert P. W. Duin
    Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:6, pp:732-739 [Journal]
  25. Marco Loog, Bram van Ginneken, Robert P. W. Duin
    Dimensionality reduction of image features using the canonical contextual correlation projection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:12, pp:2409-2418 [Journal]
  26. A. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog
    Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:4, pp:613-616 [Journal]
  27. A. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog
    Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:9, pp:1805-1808 [Journal]
  28. Marco Loog
    On an alternative formulation of the Fisher criterion that overcomes the small sample problem. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:6, pp:1753-1755 [Journal]
  29. Robert P. W. Duin, Marco Loog, Tin Kam Ho
    Recent submissions in linear dimensionality reduction and face recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:7, pp:707-708 [Journal]
  30. Marco Loog, Bram van Ginneken
    Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2006, v:25, n:5, pp:602-611 [Journal]
  31. Marco Loog
    Localized Maximum Entropy Shape Modelling. [Citation Graph (0, 0)][DBLP]
    IPMI, 2007, pp:619-629 [Conf]
  32. J. Eugenio Iglesias, Marleen de Bruijne, Marco Loog, François Lauze, Mads Nielsen
    A Family of Principal Component Analyses for Dealing with Outliers. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2007, pp:178-185 [Conf]
  33. Jakob Raundahl, Marco Loog, Paola Pettersen, Mads Nielsen
    Quantifying Effect-Specific Mammographic Density. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2007, pp:580-587 [Conf]
  34. Marco Loog
    The Jet Metric. [Citation Graph (0, 0)][DBLP]
    SSVM, 2007, pp:25-31 [Conf]
  35. Marco Loog, François Lauze
    Blur Invariant Image Priors. [Citation Graph (0, 0)][DBLP]
    SSVM, 2007, pp:665-674 [Conf]
  36. Kim Steenstrup Pedersen, Marco Loog, Bo Markussen
    Generic Maximum Likely Scale Selection. [Citation Graph (0, 0)][DBLP]
    SSVM, 2007, pp:362-373 [Conf]

  37. Discriminative Shape Alignment. [Citation Graph (, )][DBLP]


  38. Quantitative Comparison of Spot Detection Methods in Live-Cell Fluorescence Microscopy Imaging. [Citation Graph (, )][DBLP]


  39. Maximum Membership Scale Selection. [Citation Graph (, )][DBLP]


  40. Optimal Mean-Precision Classifier. [Citation Graph (, )][DBLP]


  41. Image Dissimilarity-Based Quantification of Lung Disease from CT. [Citation Graph (, )][DBLP]


  42. A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images. [Citation Graph (, )][DBLP]


  43. Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier. [Citation Graph (, )][DBLP]


  44. Dissimilarity-Based Multiple Instance Learning. [Citation Graph (, )][DBLP]


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