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Marco Loog
2010 – today
- 2013
[j32]Adrien Bartoli, Daniel Pizarro, Marco Loog: Stratified Generalized Procrustes Analysis. International Journal of Computer Vision 101(2): 227-253 (2013)- [j31]Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog: Multiple-instance learning as a classifier combining problem. Pattern Recognition 46(3): 865-874 (2013)
- [j30]V. Cuong Dinh, Robert P. W. Duin, Ignacio Piqueras-Salazar, Marco Loog: FIDOS: A generalized Fisher based feature extraction method for domain shift. Pattern Recognition 46(9): 2510-2518 (2013)
- [j29]Raimund Leitner, Martin De Biasio, Thomas Arnold, V. Cuong Dinh, Marco Loog, Robert P. W. Duin: Multi-spectral video endoscopy system for the detection of cancerous tissue. Pattern Recognition Letters 34(1): 85-93 (2013)
- [c64]Veronika Cheplygina, David M. J. Tax, Marco Loog: Combining Instance Information to Classify Bags. MCS 2013: 13-24
- [c63]Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog: The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples. MCS 2013: 157-166
- [c62]Thies Gehrmann, Marco Loog, Marcel J. T. Reinders, Dick de Ridder: Conditional Random Fields for Protein Function Prediction. PRIB 2013: 184-195
- [c61]Yenisel Plasencia Calana, Veronika Cheplygina, Robert P. W. Duin, Edel B. García Reyes, Mauricio Orozco-Alzate, David M. J. Tax, Marco Loog: On the Informativeness of Asymmetric Dissimilarities. SIMBAD 2013: 75-89
- [i1]Veronika Cheplygina, David M. J. Tax, Marco Loog: Multiple Instance Learning with Bag Dissimilarities. CoRR abs/1309.5643 (2013)
- 2012
- [j28]Wan-Jui Lee, Veronika Cheplygina, David M. J. Tax, Marco Loog, Robert P. W. Duin: Bridging Structure and Feature Representations in Graph Matching. IJPRAI 26(5) (2012)
- [j27]Yan Li, David M. J. Tax, Marco Loog: Scale selection for supervised image segmentation. Image Vision Comput. 30(12): 991-1003 (2012)
- [c60]Habil Kalkan, Marius Nap, Robert P. W. Duin, Marco Loog: Automated classification of local patches in colon histopathology. ICPR 2012: 61-64
- [c59]V. Cuong Dinh, Marco Loog, Raimund Leitner, Olga Rajadell, Robert P. W. Duin: Training data selection for cancer detection in multispectral endoscopy images. ICPR 2012: 161-164
- [c58]Veronika Cheplygina, David M. J. Tax, Marco Loog: Does one rotten apple spoil the whole barrel? ICPR 2012: 1156-1159
- [c57]Konstantin Chernoff, Marco Loog, Mads Nielsen: Metric learning by directly minimizing the k-NN training error. ICPR 2012: 1265-1268
- [c56]
- [c55]Yan Li, Robert P. W. Duin, Marco Loog: Combining multi-scale dissimilarities for image classification. ICPR 2012: 1639-1642
- [c54]V. Cuong Dinh, Robert P. W. Duin, Marco Loog: A study on semi-supervised dissimilarity representation. ICPR 2012: 2861-2864
- [c53]Jesse H. Krijthe, Tin Kam Ho, Marco Loog: Improving cross-validation based classifier selection using meta-learning. ICPR 2012: 2873-2876
- [c52]Habil Kalkan, Marius Nap, Robert P. W. Duin, Marco Loog: Automated Colorectal Cancer Diagnosis for Whole-Slice Histopathology. MICCAI (3) 2012: 550-557
- [c51]Robert P. W. Duin, Ana L. N. Fred, Marco Loog, Elzbieta Pekalska: Mode Seeking Clustering by KNN and Mean Shift Evaluated. SSPR/SPR 2012: 51-59
- [c50]
- [c49]Marco Loog, Are Charles Jensen: Constrained Log-Likelihood-Based Semi-supervised Linear Discriminant Analysis. SSPR/SPR 2012: 327-335
- [c48]Veronika Cheplygina, David M. J. Tax, Marco Loog: Class-Dependent Dissimilarity Measures for Multiple Instance Learning. SSPR/SPR 2012: 602-610
- 2011
- [j26]Aydin Ulas, Robert P. W. Duin, Umberto Castellani, Marco Loog, Pasquale Mirtuono, Manuele Bicego, Vittorio Murino, Marcella Bellani, Stefania Cerruti, Michele Tansella, Paolo Brambilla: Dissimilarity-based detection of schizophrenia. Int. J. Imaging Systems and Technology 21(2): 179-192 (2011)
- [j25]V. Cuong Dinh, Raimund Leitner, Pavel Paclík, Marco Loog, Robert P. W. Duin: SEDMI: Saliency based edge detection in multispectral images. Image Vision Comput. 29(8): 546-556 (2011)
- [j24]Meindert Niemeijer, Marco Loog, Michael D. Abràmoff, Max A. Viergever, Mathias Prokop, Bram van Ginneken: On Combining Computer-Aided Detection Systems. IEEE Trans. Med. Imaging 30(2): 215-223 (2011)
- [c47]Marco Loog: Information theoretic preattentive saliency: A closed-form solution. ICCV Workshops 2011: 1418-1424
- [c46]Wan-Jui Lee, Robert P. W. Duin, Marco Loog: Generalized Augmentation of Multiple Kernels. MCS 2011: 116-125
- [c45]
- [c44]Yan Li, David M. J. Tax, Marco Loog: Supervised Scale-Invariant Segmentation (and Detection). SSVM 2011: 350-361
- [c43]Are Charles Jensen, Marco Loog: Forming Different-Complexity Covariance-Model Subspaces through Piecewise-Constant Spectra for Hyperspectral Image Classification. SCIA 2011: 186-195
- [c42]David M. J. Tax, Marco Loog, Robert P. W. Duin, Veronika Cheplygina, Wan-Jui Lee: Bag Dissimilarities for Multiple Instance Learning. SIMBAD 2011: 222-234
- [c41]Babak Loni, Gijs van Tulder, Pascal Wiggers, David M. J. Tax, Marco Loog: Question Classification by Weighted Combination of Lexical, Syntactic and Semantic Features. TSD 2011: 243-250
- [e5]Marco Loog, Lodewyk F. A. Wessels, Marcel J. T. Reinders, Dick de Ridder (Eds.): Pattern Recognition in Bioinformatics - 6th IAPR International Conference, PRIB 2011, Delft, The Netherlands, November 2-4, 2011. Proceedings. Lecture Notes in Computer Science 7036, Springer 2011, ISBN 978-3-642-24854-2
- 2010
- [j23]Arish A. Qazi, Dan R. Jørgensen, Martin Lillholm, Marco Loog, Mads Nielsen, Erik B. Dam: A framework for optimizing measurement weight maps to minimize the required sample size. Medical Image Analysis 14(3): 255-264 (2010)
- [j22]Marco Loog, François Lauze: The Improbability of Harris Interest Points. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 1141-1147 (2010)
- [j21]Are Charles Jensen, Marco Loog, Anne H. Schistad Solberg: Using Multiscale Spectra in Regularizing Covariance Matrices for Hyperspectral Image Classification. IEEE T. Geoscience and Remote Sensing 48(4-1): 1851-1859 (2010)
- [j20]Ihor Smal, Marco Loog, Wiro J. Niessen, Erik H. W. Meijering: Quantitative Comparison of Spot Detection Methods in Fluorescence Microscopy. IEEE Trans. Med. Imaging 29(2): 282-301 (2010)
- [c40]Adrien Bartoli, Daniel Pizarro, Marco Loog: Stratified Generalized Procrustes Analysis. BMVC 2010: 1-10
- [c39]Robert P. W. Duin, Marco Loog, Elzbieta Pekalska, David M. J. Tax: Feature-Based Dissimilarity Space Classification. ICPR Contests 2010: 46-55
- [c38]Stefan Klein, Marco Loog, Fedde van der Lijn, Tom den Heijer, Alexander Hammers, Marleen de Bruijne, Aad van der Lugt, Robert P. W. Duin, Monique M. B. Breteler, Wiro J. Niessen: Early diagnosis of dementia based on intersubject whole-brain dissimilarities. ISBI 2010: 249-252
- [c37]Lauge Sørensen, Marco Loog, Pechin Lo, Haseem Ashraf, Asger Dirksen, Robert P. W. Duin, Marleen de Bruijne: Image Dissimilarity-Based Quantification of Lung Disease from CT. MICCAI (1) 2010: 37-44
- [c36]Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, Marleen de Bruijne, Marco Loog: A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images. MICCAI (3) 2010: 595-602
- [c35]Marco Loog: Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier. ECML/PKDD (2) 2010: 291-304
- [c34]Lauge Sørensen, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin: Dissimilarity-Based Multiple Instance Learning. SSPR/SPR 2010: 129-138
2000 – 2009
- 2009
- [c33]
- [c32]Ihor Smal, Marco Loog, Wiro J. Niessen, Erik H. W. Meijering: Quantitative Comparison of Spot Detection Methods in Live-Cell Fluorescence Microscopy Imaging. ISBI 2009: 1175-1178
- [c31]
- [c30]
- 2008
- [j19]Marco Loog, Xiaojun Wu, Jieping Lu, Jing-Yu Yang, Shitong Wang, Josef Kittler: A note on an extreme case of the generalized optimal discriminant transformation. Neurocomputing 72(1-3): 664-665 (2008)
- [j18]Bo Markussen, Kim Steenstrup Pedersen, Marco Loog: Second Order Structure of Scale-Space Measurements. Journal of Mathematical Imaging and Vision 31(2-3): 207-220 (2008)
- [j17]Marco Loog: On Distributional Assumptions and Whitened Cosine Similarities. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1114-1115 (2008)
- [j16]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)
- [j15]Erik B. Dam, Marco Loog: Efficient Segmentation by Sparse Pixel Classification. IEEE Trans. Med. Imaging 27(10): 1525-1534 (2008)
- [e4]Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James Tin-Yau Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog (Eds.): Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings. Lecture Notes in Computer Science 5342, Springer 2008, ISBN 978-3-540-89688-3
- 2007
- [j14]Kim Steenstrup Pedersen, Marco Loog, Pieter van Dorst: Salient Point and Scale Detection by Minimum Likelihood. Journal of Machine Learning Research - Proceedings Track 1: 59-72 (2007)
- [j13]Marco Loog: A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion. Journal of Machine Learning Research 8: 2121-2123 (2007)
- [j12]Marco Loog: On an alternative formulation of the Fisher criterion that overcomes the small sample problem. Pattern Recognition 40(6): 1753-1755 (2007)
- [c29]
- [c28]Juan 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
- [c27]Jakob Raundahl, Marco Loog, Paola Pettersen, Mads Nielsen: Quantifying Effect-Specific Mammographic Density. MICCAI (2) 2007: 580-587
- [c26]
- [c25]Kim Steenstrup Pedersen, Marco Loog, Bo Markussen: Generic Maximum Likely Scale Selection. SSVM 2007: 362-373
- [c24]
- [e3]De-Shuang Huang, Laurent Heutte, Marco Loog (Eds.): 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. Communications in Computer and Information Science 2, Springer 2007, ISBN 978-3-540-74281-4
- [e2]De-Shuang Huang, Laurent Heutte, Marco Loog (Eds.): 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. Lecture Notes in Computer Science 4681, Springer 2007, ISBN 978-3-540-74170-1
- [e1]De-Shuang Huang, Laurent Heutte, Marco Loog (Eds.): 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. Lecture Notes in Computer Science 4682, Springer 2007, ISBN 978-3-540-74201-2
- 2006
- [j11]Bram van Ginneken, Mikkel B. Stegmann, Marco Loog: Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database. Medical Image Analysis 10(1): 19-40 (2006)
- [j10]Arnold M. R. Schilham, Bram van Ginneken, Marco Loog: A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database. Medical Image Analysis 10(2): 247-258 (2006)
- [j9]Marco Loog, Bram van Ginneken, Arnold M. R. Schilham: Filter learning: Application to suppression of bony structures from chest radiographs. Medical Image Analysis 10(6): 826-840 (2006)
- [j8]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)
- [j7]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)
- [j6]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)
- [c23]Marco Loog, Bram van Ginneken: Bony Structure Suppression in Chest Radiographs. CVAMIA 2006: 166-177
- [c22]A. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog: Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis. ICPR (3) 2006: 125-128
- [c21]
- [c20]
- [c19]Jakob Raundahl, Marco Loog, Mads Nielsen: Understanding Hessian-Based Density Scoring. Digital Mammography / IWDM 2006: 447-452
- [c18]Marco Loog: Generic Blind Source Separation Using Second-Order Local Statistics. SSPR/SPR 2006: 844-852
- 2005
- [j5]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)
- [j4]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)
- [c17]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
- [c16]Bo Markussen, Kim Steenstrup Pedersen, Marco Loog: A Scale Invariant Covariance Structure on Jet Space. DSSCV 2005: 12-23
- [c15]Marco Loog, Kim Steenstrup Pedersen, Bo Markussen: Maximum Likely Scale Estimation. DSSCV 2005: 146-156
- 2004
- [j3]Marco Loog, Robert P. W. Duin, Max A. Viergever: The MDF discrimination measure: Fisher in disguise. Neural Networks 17(4): 563-566 (2004)
- [j2]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)
- [c14]
- [c13]Marco Loog, Bram van Ginneken, Robert P. W. Duin: Dimensionality Reduction by Canonical Contextual Correlation Projections. ECCV (1) 2004: 562-573
- [c12]
- [c11]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
- [c10]Bram van Ginneken, Marco Loog: Pixel Position Regression - Application to Medical Image Segmentation. ICPR (3) 2004: 718-721
- [c9]Erik Dam, Marco Loog, Marloes M. J. Letteboer: Integrating Automatic and Interactive Brain Tumor Segmentation. ICPR (3) 2004: 790-793
- 2003
- [c8]Arnold M. R. Schilham, Bram van Ginneken, Marco Loog: Multi-scale Nodule Detection in Chest Radiographs. MICCAI (1) 2003: 602-609
- [c7]Marco Loog, Martin Lillholm, Mads Nielsen, Max A. Viergever: Gaussian Scale Space from Insufficient Image Information. Scale-Space 2003: 757-769
- 2002
- [c6]Marco Loog, Bram van Ginneken: Supervised Segmentation by Iterated Contextual Pixel Classification. ICPR (2) 2002: 925-928
- [c5]Marco Loog, Robert P. W. Duin: Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data. SSPR/SPR 2002: 508-517
- 2001
- [j1]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)
- [c4]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
- 2000
- [c3]Robert P. W. Duin, Marco Loog, Reinhold Haeb-Umbach: Multi-Class Linear Feature Extraction by Nonlinear PCA. ICPR 2000: 2398-2401
- [c2]Marco Loog, Reinhold Haeb-Umbach: Multi-class linear dimension reduction by generalized Fisher criteria. INTERSPEECH 2000: 1069-1072
1990 – 1999
- 1999
- [c1]Reinhold Haeb-Umbach, Marco Loog: An investigation of cepstral parameterisations for large vocabulary speech recognition. EUROSPEECH 1999
Coauthor Index
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last updated on 2013-10-16 21:29 CEST by the dblp team