| 2008 |
|---|
| 42 | | Niels da Vitoria Lobo,
Takis Kasparis,
Fabio Roli,
James Tin-Yau Kwok,
Michael Georgiopoulos,
Georgios C. Anagnostopoulos,
Marco Loog:
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings
Springer 2008 |
| 41 | EE | Jakob Raundahl,
Marco Loog,
Paola Pettersen,
László B. Tankó,
Mads Nielsen:
Automated Effect-Specific Mammographic Pattern Measures.
IEEE Trans. Med. Imaging 27(8): 1054-1060 (2008) |
| 40 | EE | Marco Loog:
On Distributional Assumptions and Whitened Cosine Similarities.
IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1114-1115 (2008) |
| 2007 |
|---|
| 39 | | De-Shuang Huang,
Laurent Heutte,
Marco Loog:
Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007. Proceedings
Springer 2007 |
| 38 | | De-Shuang Huang,
Laurent Heutte,
Marco Loog:
Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings
Springer 2007 |
| 37 | | De-Shuang Huang,
Laurent Heutte,
Marco Loog:
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings
Springer 2007 |
| 36 | EE | Marco Loog:
Localized Maximum Entropy Shape Modelling.
IPMI 2007: 619-629 |
| 35 | EE | J. Eugenio Iglesias,
Marleen de Bruijne,
Marco Loog,
François Lauze,
Mads Nielsen:
A Family of Principal Component Analyses for Dealing with Outliers.
MICCAI (2) 2007: 178-185 |
| 34 | EE | Jakob Raundahl,
Marco Loog,
Paola Pettersen,
Mads Nielsen:
Quantifying Effect-Specific Mammographic Density.
MICCAI (2) 2007: 580-587 |
| 33 | EE | Marco Loog:
The Jet Metric.
SSVM 2007: 25-31 |
| 32 | EE | Kim Steenstrup Pedersen,
Marco Loog,
Bo Markussen:
Generic Maximum Likely Scale Selection.
SSVM 2007: 362-373 |
| 31 | EE | Marco Loog,
François Lauze:
Blur Invariant Image Priors.
SSVM 2007: 665-674 |
| 30 | EE | Marco Loog:
On an alternative formulation of the Fisher criterion that overcomes the small sample problem.
Pattern Recognition 40(6): 1753-1755 (2007) |
| 2006 |
|---|
| 29 | EE | Marco Loog,
Bram van Ginneken:
Bony Structure Suppression in Chest Radiographs.
CVAMIA 2006: 166-177 |
| 28 | EE | Jakob Raundahl,
Marco Loog,
Mads Nielsen:
Understanding Hessian-Based Density Scoring.
Digital Mammography / IWDM 2006: 447-452 |
| 27 | EE | Marco Loog:
Conditional Linear Discriminant Analysis.
ICPR (2) 2006: 387-390 |
| 26 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
Marco Loog:
Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis.
ICPR (3) 2006: 125-128 |
| 25 | EE | Marco Loog,
Dick de Ridder:
Local Discriminant Analysis.
ICPR (3) 2006: 328-331 |
| 24 | EE | Marco Loog:
Generic Blind Source Separation Using Second-Order Local Statistics.
SSPR/SPR 2006: 844-852 |
| 23 | EE | Marco Loog,
Bram van Ginneken:
Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification.
IEEE Trans. Med. Imaging 25(5): 602-611 (2006) |
| 22 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
Marco Loog:
Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction.
Pattern Recognition 39(9): 1805-1808 (2006) |
| 21 | EE | Robert P. W. Duin,
Marco Loog,
Tin Kam Ho:
Recent submissions in linear dimensionality reduction and face recognition.
Pattern Recognition Letters 27(7): 707-708 (2006) |
| 2005 |
|---|
| 20 | | A. Kai Qin,
S. Y. M. Shi,
Ponnuthurai N. Suganthan,
Marco Loog:
Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data.
AAAI 2005: 851-855 |
| 19 | EE | Bo Markussen,
Kim Steenstrup Pedersen,
Marco Loog:
A Scale Invariant Covariance Structure on Jet Space.
DSSCV 2005: 12-23 |
| 18 | EE | Marco Loog,
Kim Steenstrup Pedersen,
Bo Markussen:
Maximum Likely Scale Estimation.
DSSCV 2005: 146-156 |
| 17 | EE | Marco Loog,
Bram van Ginneken,
Robert P. W. Duin:
Dimensionality reduction of image features using the canonical contextual correlation projection.
Pattern Recognition 38(12): 2409-2418 (2005) |
| 16 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
Marco Loog:
Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion.
Pattern Recognition 38(4): 613-616 (2005) |
| 2004 |
|---|
| 15 | EE | Marco Loog,
Bram van Ginneken,
Robert P. W. Duin:
Dimensionality Reduction by Canonical Contextual Correlation Projections.
ECCV (1) 2004: 562-573 |
| 14 | EE | Marco Loog:
Support Blob Machines. The Sparsification of Linear Scale Space.
ECCV (4) 2004: 14-24 |
| 13 | EE | Marco Loog,
Bram van Ginneken:
Static Posterior Probability Fusion for Signal Detection: Applications in the Detection of Interstitial Diseases in Chest Radiographs.
ICPR (1) 2004: 644-647 |
| 12 | EE | Dick de Ridder,
Marco Loog,
Marcel J. T. Reinders:
Local Fisher Embedding.
ICPR (2) 2004: 295-298 |
| 11 | EE | Bram van Ginneken,
Marco Loog:
Pixel Position Regression - Application to Medical Image Segmentation.
ICPR (3) 2004: 718-721 |
| 10 | EE | Erik Dam,
Marco Loog,
Marloes M. J. Letteboer:
Integrating Automatic and Interactive Brain Tumor Segmentation.
ICPR (3) 2004: 790-793 |
| 9 | EE | Marco Loog,
Robert P. W. Duin:
Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion.
IEEE Trans. Pattern Anal. Mach. Intell. 26(6): 732-739 (2004) |
| 8 | EE | Marco Loog,
Robert P. W. Duin,
Max A. Viergever:
The MDF discrimination measure: Fisher in disguise.
Neural Networks 17(4): 563-566 (2004) |
| 2003 |
|---|
| 7 | EE | Arnold M. R. Schilham,
Bram van Ginneken,
Marco Loog:
Multi-scale Nodule Detection in Chest Radiographs.
MICCAI (1) 2003: 602-609 |
| 6 | EE | Marco Loog,
Martin Lillholm,
Mads Nielsen,
Max A. Viergever:
Gaussian Scale Space from Insufficient Image Information.
Scale-Space 2003: 757-769 |
| 2002 |
|---|
| 5 | EE | Marco Loog,
Bram van Ginneken:
Supervised Segmentation by Iterated Contextual Pixel Classification.
ICPR (2) 2002: 925-928 |
| 4 | EE | Marco Loog,
Robert P. W. Duin:
Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data.
SSPR/SPR 2002: 508-517 |
| 2001 |
|---|
| 3 | EE | Marco Loog,
Johannes Jisse Duistermaat,
Luc Florack:
On the Behavior of Spatial Critical Points under Gaussian Blurring. A Folklore Theorem and Scale-Space Constraints.
Scale-Space 2001: 183-192 |
| 2 | EE | Marco Loog,
Robert P. W. Duin,
Reinhold Haeb-Umbach:
Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria.
IEEE Trans. Pattern Anal. Mach. Intell. 23(7): 762-766 (2001) |
| 2000 |
|---|
| 1 | EE | Robert P. W. Duin,
Marco Loog,
Reinhold Haeb-Umbach:
Multi-Class Linear Feature Extraction by Nonlinear PCA.
ICPR 2000: 2398-2401 |
