Travelled to:1 × Canada
1 × Japan
1 × Spain
1 × Sweden
2 × China
3 × United Kingdom
Collaborated with:B.v.Ginneken R.P.W.Duin Y.Li D.d.Ridder V.C.Dinh V.Cheplygina D.M.J.Tax J.H.Krythe ∅ K.Chernoff M.Nielsen J.H.Krijthe T.K.Ho A.K.Qin P.N.Suganthan M.J.T.Reinders E.Dam M.M.J.Letteboer R.Haeb-Umbach H.Kalkan M.Nap R.Leitner O.Rajadell L.Sørensen J.J.H.Pedersen M.d.Bruijne
Talks about:discrimin (4) supervis (4) segment (4) classif (4) analysi (4) imag (4) linear (3) detect (3) local (3) learn (3)
Person: Marco Loog
DBLP: Loog:Marco
Contributed to:
201420122006200620042004200420022000Wrote 19 papers:
- ICPR-2014-CheplyginaSTPLB #classification #learning #multi
- Classification of COPD with Multiple Instance Learning (VC, LS, DMJT, JJHP, ML, MdB), pp. 1508–1513.
- ICPR-2014-KrytheL #analysis #linear
- Implicitly Constrained Semi-supervised Linear Discriminant Analysis (JHK, ML), pp. 3762–3767.
- ICPR-2012-CheplyginaTL #question
- Does one rotten apple spoil the whole barrel? (VC, DMJT, ML), pp. 1156–1159.
- ICPR-2012-ChernoffLN #fault #learning #metric
- Metric learning by directly minimizing the k-NN training error (KC, ML, MN), pp. 1265–1268.
- ICPR-2012-DinhDL #case study #difference #representation
- A study on semi-supervised dissimilarity representation (VCD, RPWD, ML), pp. 2861–2864.
- ICPR-2012-DinhLLRD #detection #image #multi
- Training data selection for cancer detection in multispectral endoscopy images (VCD, ML, RL, OR, RPWD), pp. 161–164.
- ICPR-2012-KalkanNDL #automation #classification
- Automated classification of local patches in colon histopathology (HK, MN, RPWD, ML), pp. 61–64.
- ICPR-2012-KrijtheHL #classification #using
- Improving cross-validation based classifier selection using meta-learning (JHK, TKH, ML), pp. 2873–2876.
- ICPR-2012-LiDL #classification #image #multi
- Combining multi-scale dissimilarities for image classification (YL, RPWD, ML), pp. 1639–1642.
- ICPR-2012-LiL12a #image #invariant #segmentation
- Scale-invariant sampling for supervised image segmentation (YL, ML), pp. 1399–1402.
- ICPR-v2-2006-Loog #analysis #linear
- Conditional Linear Discriminant Analysis (ML), pp. 387–390.
- ICPR-v3-2006-LoogR #analysis
- Local Discriminant Analysis (ML, DdR), pp. 328–331.
- ICPR-v3-2006-QinSL #analysis #feature model #performance
- Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis (AKQ, PNS, ML), pp. 125–128.
- ICPR-v1-2004-LoogG #detection #probability
- Static Posterior Probability Fusion for Signal Detection: Applications in the Detection of Interstitial Diseases in Chest Radiographs (ML, BvG), pp. 644–647.
- ICPR-v2-2004-RidderLR
- Local Fisher Embedding (DdR, ML, MJTR), pp. 295–298.
- ICPR-v3-2004-DamLL #automation #interactive #segmentation
- Integrating Automatic and Interactive Brain Tumor Segmentation (ED, ML, MMJL), pp. 790–793.
- ICPR-v3-2004-GinnekenL #image #segmentation
- Pixel Position Regression — Application to Medical Image Segmentation (BvG, ML), pp. 718–721.
- ICPR-v2-2002-LoogG #classification #segmentation
- Supervised Segmentation by Iterated Contextual Pixel Classification (ML, BvG), pp. 925–928.
- ICPR-v2-2000-DuinLH #feature model #linear #multi
- Multi-Class Linear Feature Extraction by Nonlinear PCA (RPWD, ML, RHU), pp. 2398–2401.