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Marco Loog

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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
41EEJakob 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)
40EEMarco 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
36EEMarco Loog: Localized Maximum Entropy Shape Modelling. IPMI 2007: 619-629
35EEJ. 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
34EEJakob Raundahl, Marco Loog, Paola Pettersen, Mads Nielsen: Quantifying Effect-Specific Mammographic Density. MICCAI (2) 2007: 580-587
33EEMarco Loog: The Jet Metric. SSVM 2007: 25-31
32EEKim Steenstrup Pedersen, Marco Loog, Bo Markussen: Generic Maximum Likely Scale Selection. SSVM 2007: 362-373
31EEMarco Loog, François Lauze: Blur Invariant Image Priors. SSVM 2007: 665-674
30EEMarco Loog: On an alternative formulation of the Fisher criterion that overcomes the small sample problem. Pattern Recognition 40(6): 1753-1755 (2007)
2006
29EEMarco Loog, Bram van Ginneken: Bony Structure Suppression in Chest Radiographs. CVAMIA 2006: 166-177
28EEJakob Raundahl, Marco Loog, Mads Nielsen: Understanding Hessian-Based Density Scoring. Digital Mammography / IWDM 2006: 447-452
27EEMarco Loog: Conditional Linear Discriminant Analysis. ICPR (2) 2006: 387-390
26EEA. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog: Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis. ICPR (3) 2006: 125-128
25EEMarco Loog, Dick de Ridder: Local Discriminant Analysis. ICPR (3) 2006: 328-331
24EEMarco Loog: Generic Blind Source Separation Using Second-Order Local Statistics. SSPR/SPR 2006: 844-852
23EEMarco 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)
22EEA. 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)
21EERobert 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
19EEBo Markussen, Kim Steenstrup Pedersen, Marco Loog: A Scale Invariant Covariance Structure on Jet Space. DSSCV 2005: 12-23
18EEMarco Loog, Kim Steenstrup Pedersen, Bo Markussen: Maximum Likely Scale Estimation. DSSCV 2005: 146-156
17EEMarco 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)
16EEA. 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
15EEMarco Loog, Bram van Ginneken, Robert P. W. Duin: Dimensionality Reduction by Canonical Contextual Correlation Projections. ECCV (1) 2004: 562-573
14EEMarco Loog: Support Blob Machines. The Sparsification of Linear Scale Space. ECCV (4) 2004: 14-24
13EEMarco 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
12EEDick de Ridder, Marco Loog, Marcel J. T. Reinders: Local Fisher Embedding. ICPR (2) 2004: 295-298
11EEBram van Ginneken, Marco Loog: Pixel Position Regression - Application to Medical Image Segmentation. ICPR (3) 2004: 718-721
10EEErik Dam, Marco Loog, Marloes M. J. Letteboer: Integrating Automatic and Interactive Brain Tumor Segmentation. ICPR (3) 2004: 790-793
9EEMarco 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)
8EEMarco Loog, Robert P. W. Duin, Max A. Viergever: The MDF discrimination measure: Fisher in disguise. Neural Networks 17(4): 563-566 (2004)
2003
7EEArnold M. R. Schilham, Bram van Ginneken, Marco Loog: Multi-scale Nodule Detection in Chest Radiographs. MICCAI (1) 2003: 602-609
6EEMarco Loog, Martin Lillholm, Mads Nielsen, Max A. Viergever: Gaussian Scale Space from Insufficient Image Information. Scale-Space 2003: 757-769
2002
5EEMarco Loog, Bram van Ginneken: Supervised Segmentation by Iterated Contextual Pixel Classification. ICPR (2) 2002: 925-928
4EEMarco Loog, Robert P. W. Duin: Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data. SSPR/SPR 2002: 508-517
2001
3EEMarco 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
2EEMarco 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
1EERobert P. W. Duin, Marco Loog, Reinhold Haeb-Umbach: Multi-Class Linear Feature Extraction by Nonlinear PCA. ICPR 2000: 2398-2401

Coauthor Index

1Georgios C. Anagnostopoulos [42]
2Marleen de Bruijne [35]
3Erik Dam [10]
4Robert P. W. Duin [1] [2] [4] [8] [9] [15] [17] [21]
5Johannes Jisse Duistermaat [3]
6Luc Florack [3]
7Michael Georgiopoulos [42]
8Bram van Ginneken [5] [7] [11] [13] [15] [17] [23] [29]
9Reinhold Haeb-Umbach [1] [2]
10Laurent Heutte [37] [38] [39]
11Tin Kam Ho [21]
12De-Shuang Huang (Deshuang Huang) [37] [38] [39]
13J. Eugenio Iglesias [35]
14Takis Kasparis [42]
15James Tin-Yau Kwok (James T. Kwok) [42]
16François Lauze [31] [35]
17Marloes M. J. Letteboer [10]
18Martin Lillholm [6]
19Niels da Vitoria Lobo [42]
20Bo Markussen [18] [19] [32]
21Mads Nielsen [6] [28] [34] [35] [41]
22Kim Steenstrup Pedersen [18] [19] [32]
23Paola Pettersen [34] [41]
24A. Kai Qin [16] [20] [22] [26]
25Jakob Raundahl [28] [34] [41]
26Marcel J. T. Reinders [12]
27Dick de Ridder [12] [25]
28Fabio Roli [42]
29Arnold M. R. Schilham [7]
30S. Y. M. Shi [20]
31Ponnuthurai N. Suganthan [16] [20] [22] [26]
32László B. Tankó [41]
33Max A. Viergever [6] [8]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)