Robert P.W. Duin
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Statistical pattern recognition: A review
AK Jain, RPW Duin, J Mao
IEEE Transactions on pattern analysis and machine intelligence 22 (1), 4-37, 2000
On combining classifiers
J Kittler, M Hatef, RPW Duin, J Matas
IEEE transactions on pattern analysis and machine intelligence 20 (3), 226-239, 1998
Support vector data description
DMJ Tax, RPW Duin
Machine Learning 54 (1), 45-66, 2004
Support vector domain description
DMJ Tax, RPW Duin
Pattern recognition letters 20 (11-13), 1191-1199, 1999
Decision templates for multiple classifier fusion: an experimental comparison
LI Kuncheva, JC Bezdek, RPW Duin
Pattern recognition 34 (2), 299-314, 2001
Classification, parameter estimation and state estimation: an engineering approach using MATLAB
F Van Der Heijden, RP Duin, D De Ridder, DMJ Tax
John Wiley & Sons, 2005
Dissimilarity Representation For Pattern Recognition, The: Foundations And Applications
RPW Duin, E Pekalska
World scientific, 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
Bagging, boosting and the random subspace method for linear classifiers
M Skurichina, RPW Duin
Pattern Analysis & Applications 5 (2), 121-135, 2002
Multiclass linear dimension reduction by weighted pairwise Fisher criteria
M Loog, RPW Duin, R Haeb-Umbach
IEEE transactions on pattern analysis and machine intelligence 23 (7), 762-766, 2001
Data domain description using support vectors.
DMJ Tax, RPW Duin
ESANN 99, 251-256, 1999
Combining multiple classifiers by averaging or by multiplying?
DMJ Tax, M Van Breukelen, RPW Duin, J Kittler
Pattern recognition 33 (9), 1475-1485, 2000
Feed forward neural networks with random weights
WF Schmidt, MA Kraaijveld, RPW Duin
International Conference on Pattern Recognition, 1-1, 1992
The combining classifier: to train or not to train?
RPW Duin
Object recognition supported by user interaction for service robots 2, 765-770, 2002
On the choice of smoothing parameters for Parzen estimators of probability density functions
PW Robert
IEEE Transactions on computers 25 (11), 1175-1179, 1976
Limits on the majority vote accuracy in classifier fusion
LI Kuncheva, CJ Whitaker, CA Shipp, RPW Duin
Pattern Analysis & Applications 6 (1), 22-31, 2003
A generalized kernel approach to dissimilarity-based classification
E Pekalska, P Paclik, RPW Duin
Journal of machine learning research 2 (Dec), 175-211, 2001
Uniform object generation for optimizing one-class classifiers
DMJ Tax, RPW Duin
Journal of machine learning research 2 (Dec), 155-173, 2001
Prototype selection for dissimilarity-based classifiers
E Pękalska, RPW Duin, P Paclík
Pattern Recognition 39 (2), 189-208, 2006
Experiments with classifier combining rules
RPW Duin, DMJ Tax
International Workshop on Multiple Classifier Systems, 16-29, 2000
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