David Tax

2012
2011
Tax DMJ, Loog M, Duin RPW, Cheplygina V, Lee W-J. Bag dissimilarities for multiple instance learning. In: Pelillo M, Hancock ER Similarity-Based Pattern Recognition.Vol LNCS 7005. Similarity-Based Pattern Recognition.; 2011:222–234. Download: simbad_11_mil.pdf (154.09 KB)
Escalera S, Tax DMJ, Pujol O, Radeva P, Duin RPW. Multi-class Classification in Image Analysis via Error-Correcting Output Codes. In: Kwasnicka H, Jain LC Innovations in Intelligent Image Analysis.Vol 339. Innovations in Intelligent Image Analysis.; 2011:7-29.
Cheplygina V, Tax DMJ. Pruned random subspace method for one-class classifiers. In: Multiple Classifier Systems. Multiple Classifier Systems.; 2011:96–105. Download: cheplygina2011pruned_mcs2011.pdf (275.09 KB)
Li Y, Tax DMJ, Loog M. Supervised Image Segmentation with Scale Invariance. In: ASCI - IPA - SIKS tracks, ICT.OPEN. ASCI - IPA - SIKS tracks, ICT.OPEN. Veldhoven; 2011:1–6. Download: Li_asci2011.pdf (401.12 KB)
Li Y, Tax DMJ, Loog M. Supervised Scale-Invariant Segmentation (and Detection). In: Third International Conference on Scale Space and Variational Methods in Computer Vision.Vol LNCS 6667. Third International Conference on Scale Space and Variational Methods in Computer Vision. Ein Gedi, Israel; 2011:350-361. Download: Li_ssvm2011.pdf (362.89 KB)
2010
Tax DMJ, Hendriks EA, Valstar MF, Pantic M. The detection of concept frames using Clustering Multi-Instance Learning. In: International conference on Pattern Recognition. International conference on Pattern Recognition. Istanbul, Turkey; 2010:2917-2921. Download: icpr_au.pdf (90.08 KB)
Sørensen L, Loog M, Tax DMJ, et al. Dissimilarity-Based Multiple Instance Learning. In: Structural, Syntactic, and Statistical Pattern Recognition.Vol LNCS 6218. Structural, Syntactic, and Statistical Pattern Recognition.; 2010:129-138.
2009
Loog M, Li Y, Tax DMJ. Maximum membership scale selection. In: Multiple Classifier Systems.Vol LNCS 5519. Multiple Classifier Systems. Reykjavic, Iceland; 2009:468–477.
Tax DMJ, Loog M, Duin RPW. Optimal mean-precision classifier. In: Multiple Classifier Systems.Vol LNCS 5519. Multiple Classifier Systems. Reykjavic, Iceland; 2009:72–81.
Li Y, Tax DMJ, Loog M. An initial study into image segmentation by combining multi-scale information. In: Proceedings of the fifteenth annual conference of the Advanced School for Computing and Imaging. Proceedings of the fifteenth annual conference of the Advanced School for Computing and Imaging.; 2009:1–6.
2008
Simeone P, Duin RPW, Tax DMJ, Tortorella F. A Fast Approach to Improve Classification Performance of ECOC Classification Systems. In: da Vitoria Lobo N, Kasparis T, Roli F, et al. Structural, Syntactic, and Statistical Pattern Recognition, Proc. SSSPR2008 (Orlando, Florida, USA, 4-6 Dec 2008). Structural, Syntactic, and Statistical Pattern Recognition, Proc. SSSPR2008 (Orlando, Florida, USA, 4-6 Dec 2008). Berlin; 2008:459-468.
Tax DMJ, Duin RPW. Learning curves for the analysis of multiple instance classifiers. In: da Vitoria Lobo N, Kasparis T, Roli F, et al. Structural, Syntactic, and Statistical Pattern Recognition, Proc. SSSPR2008 (Orlando, Florida, USA, 4-6 Dec 2008). Structural, Syntactic, and Statistical Pattern Recognition, Proc. SSSPR2008 (Orlando, Florida, USA, 4-6 Dec 2008). Berlin; 2008:724-733.
2006
Juszczak P, Tax DMJ, Verzakov SA, Duin RPW. Domain Based LDA and QDA. In: Tang YY, Wang SP, Lorette G, Yeung DS, Yan H Proc. of the 18th Int. Conf. on Pattern Recognition (ICPR2006, Hong Kong, China, August 2006).Vol 2. Proc. of the 18th Int. Conf. on Pattern Recognition (ICPR2006, Hong Kong, China, August 2006). Los Alamitos; 2006:788-791.
Tax DMJ, Duin RPW, Arzhaeva Y. Linear model combining by optimizing the Area under the {ROC} curve. In: Tang YY, Wang SP, Lorette G, Yeung DS, Yan H Proc. of the 18th Int. Conf. on Pattern Recognition (ICPR2006, Hong Kong, China, August 2006).Vol 4. Proc. of the 18th Int. Conf. on Pattern Recognition (ICPR2006, Hong Kong, China, August 2006). Los Alamitos; 2006:119-122.
Tax DMJ, Juszczak P, Pekalska E, Duin RPW. Outlier detection using ball descriptions with adjustable metric. In: Yeung D-Y, Kwok JT, Fred ALN, Roli F, de Ridder D Structural, Syntactic, and Statistical Pattern Recognition, Proc. SSSPR2006 (Hong Kong, China, August 2006).Vol 4109. Structural, Syntactic, and Statistical Pattern Recognition, Proc. SSSPR2006 (Hong Kong, China, August 2006). Berlin; 2006:587-595.