Bob Duin

2009
Ibba A, Duin RPW. A Multiscale Approach in Combining Classifiers in Dissimilarity Representations. In: Gevers T, Bos HJ, Wolters L Proc. ASCI 2009, 15th Annual Conf. of the Advanced School for Computing and Imaging (Zeewolde, June 3-5, 2009). Proc. ASCI 2009, 15th Annual Conf. of the Advanced School for Computing and Imaging (Zeewolde, June 3-5, 2009).; 2009.
2008
Duin RPW, Pekalska E, Harol A, Lee W-J, Bunke H. On Euclidean corrections for non-Euclidean dissimilarities. In: da Vitoria Lobo N, Kasparis T, Roli F, et al. Structural, Syntactic, and Statistical Pattern Recognition, Proc. SSSPR2008 (Orlando, Plorida, USA, 4-6 Dec 2008).Vol 5342. Structural, Syntactic, and Statistical Pattern Recognition, Proc. SSSPR2008 (Orlando, Plorida, USA, 4-6 Dec 2008). Berlin; 2008:551-561.
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.
Lee W-J, Duin RPW. An Inexact Graph Comparison Approach in Joint Eigenspace. 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; 2008:35-44.
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.
Paclik P, Lai C, Novovicova J, Duin RPW. Variance estimation for two-class and multi-class ROC analysis using operating point averaging. In: Proc. of the 19th Int. Conf. on Pattern Recognition (ICPR2008, Tampa, USA, December 2008). Proc. of the 19th Int. Conf. on Pattern Recognition (ICPR2008, Tampa, USA, December 2008).; 2008.
Kim S-W, Duin RPW. On Optimizing Dissimilarity-Based Classifier Using Multi-level Fusion Strategies (in Korean). Journal of The Institute of Electronics Engineers of Korea, Computer and Information (CI). 2008;45:15-24.
Duin RPW, Pekalska E. On refining dissimilarity matrices for an improved NN learning. In: Proc. of the 19th Int. Conf. on Pattern Recognition (ICPR2008, Tampa, USA, December 2008). Proc. of the 19th Int. Conf. on Pattern Recognition (ICPR2008, Tampa, USA, December 2008).; 2008.
2007
Orozco-Alzate M, Duin RPW, Castellanos-Dominguez CG. On Selecting Middle-Length Feature Lines for Dissimilarity-based Classification. In: XII Simposio de Tratamiento de Senales, Imagenes y Vision Artificial, STSIVA 2007. XII Simposio de Tratamiento de Senales, Imagenes y Vision Artificial, STSIVA 2007. Universidad del Norte; 2007.
Li Y, de Ridder D, Duin RPW, Reinders MJT. An Integrative Kernel Method Dealing With Diverse Measurement Noise in Classification. Proc. of the 13th annual conference of the Advanced School for Computing and Imaging. 2007:127-134.
Orozco-Alzate M, Duin RPW, Castellanos-Dominguez CG. Generalizing Dissimilarity Representations Using Feature Lines. In: Rueda L, Mery D, Kittler J Progress in Pattern Recognition, Image Analysis and Applications, Proc. of the 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007. Progress in Pattern Recognition, Image Analysis and Applications, Proc. of the 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007. Vina del Mar-Valparaiso, Chile; 2007:370-379.
Kim S-W, Duin RPW. On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition. In: Kobti Z, Wu D Advances in Artificial Intelligence, Proceedings of the 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007. Advances in Artificial Intelligence, Proceedings of the 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007.; 2007:110-121.
Bicego M, Pekalska E, Duin RPW. Group-induced vector spaces. In: Haindl M, Kittler J, Roli F Multiple Classifier Systems (Proc. 7th Int. Workshop, MCS 2007, Prague, May 23-25, 2007). Multiple Classifier Systems (Proc. 7th Int. Workshop, MCS 2007, Prague, May 23-25, 2007).; 2007:190-199.