| Dissimilarity representation for pattern recognition, the: foundations and applications RPW Duin, E Pekalska World scientific, 2005 | 837 | 2005 |
| Prtools4. 1, a matlab toolbox for pattern recognition RPW Duin, P Juszczak, P Paclik, E Pekalska, D De Ridder, DMJ Tax, ... Delft University of technology 2600, 2007 | 748 | 2007 |
| A generalized kernel approach to dissimilarity-based classification E Pekalska, P Paclik, RPW Duin Journal of machine learning research 2 (Dec), 175-211, 2001 | 485 | 2001 |
| Prototype selection for dissimilarity-based classifiers E Pękalska, RPW Duin, P Paclík Pattern Recognition 39 (2), 189-208, 2006 | 427 | 2006 |
| Dissimilarity representations allow for building good classifiers E Pękalska, RPW Duin Pattern Recognition Letters 23 (8), 943-956, 2002 | 272 | 2002 |
| Spherical and hyperbolic embeddings of data RC Wilson, ER Hancock, E Pekalska, RPW Duin IEEE transactions on pattern analysis and machine intelligence 36 (11), 2255 …, 2014 | 131 | 2014 |
| Kernel discriminant analysis for positive definite and indefinite kernels E Pȩkalska, B Haasdonk IEEE transactions on pattern analysis and machine intelligence 31 (6), 1017-1032, 2008 | 130 | 2008 |
| The dissimilarity space: Bridging structural and statistical pattern recognition RPW Duin, E Pękalska Pattern Recognition Letters 33 (7), 826-832, 2012 | 119 | 2012 |
| A matlab toolbox for pattern recognition R Duin, P Juszczak, P Paclik, E Pekalska, D De Ridder, D Tax, ... PRTools version 3, 109-111, 2000 | 111 | 2000 |
| A new method of generalizing Sammon mapping with application to algorithm speed-up EM Pekalska, D de Ridder, RPW Duin, MA Kraaijveld Heijen NL, 221-228, 1999 | 109 | 1999 |
| Non-Euclidean or non-metric measures can be informative E Pękalska, A Harol, RPW Duin, B Spillmann, H Bunke Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2006 | 103 | 2006 |
| Transforming strings to vector spaces using prototype selection B Spillmann, M Neuhaus, H Bunke, E Pękalska, RPW Duin Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2006 | 92 | 2006 |
| Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces M Lozano, JM Sotoca, JS Sánchez, F Pla, E Pękalska, RPW Duin Pattern Recognition 39 (10), 1827-1838, 2006 | 90 | 2006 |
| Relational discriminant analysis RPW Duin, E Pȩkalska, D de Ridder Pattern Recognition Letters 20 (11-13), 1175-1181, 1999 | 81 | 1999 |
| One-class LP classifiers for dissimilarity representations E Pekalska, DM Tax, R Duin Advances in neural information processing systems 15, 2002 | 64 | 2002 |
| Non-euclidean dissimilarities: Causes and informativeness RPW Duin, E Pękalska Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2010 | 63 | 2010 |
| Classifiers for dissimilarity-based pattern recognition E Pekalska, RPW Duin Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 63 | 2000 |
| The science of pattern recognition. Achievements and perspectives RPW Duin, E Pekalska Challenges for computational intelligence, 221-259, 2007 | 60 | 2007 |
| Feature-based dissimilarity space classification RPW Duin, M Loog, E Pȩkalska, DMJ Tax International Conference on Pattern Recognition, 46-55, 2010 | 52 | 2010 |
| Beyond traditional kernels: Classification in two dissimilarity-based representation spaces E Pekalska, RPW Duin IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2008 | 47 | 2008 |
