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Robert P. W. Duin
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- affiliation: Delft University of Technology, Pattern Recognition Laboratory
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2020 – today
- 2021
- [j82]Robert P. W. Duin:
The Origin of Patterns. Frontiers Comput. Sci. 3: 747195 (2021)
2010 – 2019
- 2017
- [i4]Robert P. W. Duin, Sergey Verzakov:
Fast kNN mode seeking clustering applied to active learning. CoRR abs/1712.07454 (2017) - 2016
- [c159]Yenisel Plasencia Calana
, Yan Li, Robert P. W. Duin, Mauricio Orozco-Alzate
A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection. CIARP 2016: 150-157 - [c158]Mauricio Orozco-Alzate
Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space. S+SSPR 2016: 74-83 - [c157]David M. J. Tax, Veronika Cheplygina
The Similarity Between Dissimilarities. S+SSPR 2016: 84-94 - [i3]Robert P. W. Duin, Elzbieta Pekalska:
Zero-error dissimilarity based classifiers. CoRR abs/1601.04451 (2016) - [i2]Robert P. W. Duin, Elzbieta Pekalska:
Domain based classification. CoRR abs/1601.04530 (2016) - 2015
- [j81]Robert P. W. Duin:
The dissimilarity representation for finding universals from particulars by an anti-essentialist approach. Pattern Recognit. Lett. 64: 37-43 (2015) - 2014
- [j80]Olga Rajadell, Pedro García-Sevilla
Improving Hyperspectral Pixel Classification With Unsupervised Training Data Selection. IEEE Geosci. Remote. Sens. Lett. 11(3): 656-660 (2014) - [j79]Richard C. Wilson, Edwin R. Hancock
Spherical and Hyperbolic Embeddings of Data. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2255-2269 (2014) - [c156]Robert P. W. Duin, Manuele Bicego, Mauricio Orozco-Alzate
Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance. S+SSPR 2014: 183-192 - [c155]Yenisel Plasencia Calana
Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria. S+SSPR 2014: 343-352 - 2013
- [j78]Yenisel Plasencia Calana
Selecting feature lines in generalized dissimilarity representations for pattern recognition. Digit. Signal Process. 23(3): 902-911 (2013) - [j77]Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog:
Multiple-instance learning as a classifier combining problem. Pattern Recognit. 46(3): 865-874 (2013) - [j76]Viet Cuong Dinh, Robert P. W. Duin, Ignacio Piqueras-Salazar, Marco Loog:
FIDOS: A generalized Fisher based feature extraction method for domain shift. Pattern Recognit. 46(9): 2510-2518 (2013) - [j75]Raimund Leitner
Multi-spectral video endoscopy system for the detection of cancerous tissue. Pattern Recognit. Lett. 34(1): 85-93 (2013) - [c154]Diana Porro-Muñoz, Robert P. W. Duin, Isneri Talavera:
Missing Values in Dissimilarity-Based Classification of Multi-way Data. CIARP (1) 2013: 214-221 - [c153]Yenisel Plasencia Calana
Towards Cluster-Based Prototype Sets for Classification in the Dissimilarity Space. CIARP (1) 2013: 294-301 - [c152]Helena Aidos, Robert P. W. Duin, Ana L. N. Fred:
The Area under the ROC Curve as a Criterion for Clustering Evaluation. ICPRAM 2013: 276-280 - [c151]Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog:
The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples. MCS 2013: 157-166 - [c150]Yenisel Plasencia Calana
On the Informativeness of Asymmetric Dissimilarities. SIMBAD 2013: 75-89 - [p2]Robert P. W. Duin, Elzbieta Pekalska, Marco Loog:
Non-Euclidean Dissimilarities: Causes, Embedding and Informativeness. Similarity-Based Pattern Analysis and Recognition 2013: 13-44 - 2012
- [j74]Wan-Jui Lee, Veronika Cheplygina
Bridging Structure and Feature Representations in Graph Matching. Int. J. Pattern Recognit. Artif. Intell. 26(5) (2012) - [j73]Robert P. W. Duin, Elzbieta Pekalska:
The dissimilarity space: Bridging structural and statistical pattern recognition. Pattern Recognit. Lett. 33(7): 826-832 (2012) - [c149]Diana Porro-Muñoz, Robert P. W. Duin, Mauricio Orozco-Alzate
Continuous Multi-way Shape Measure for Dissimilarity Representation. CIARP 2012: 430-437 - [c148]Yenisel Plasencia Calana
On Using Asymmetry Information for Classification in Extended Dissimilarity Spaces. CIARP 2012: 503-510 - [c147]Habil Kalkan, Marius Nap, Robert P. W. Duin, Marco Loog:
Automated classification of local patches in colon histopathology. ICPR 2012: 61-64 - [c146]Viet Cuong Dinh, Marco Loog, Raimund Leitner, Olga Rajadell, Robert P. W. Duin:
Training data selection for cancer detection in multispectral endoscopy images. ICPR 2012: 161-164 - [c145]Yan Li, Robert P. W. Duin, Marco Loog:
Combining multi-scale dissimilarities for image classification. ICPR 2012: 1639-1642 - [c144]Viet Cuong Dinh, Robert P. W. Duin, Marco Loog:
A study on semi-supervised dissimilarity representation. ICPR 2012: 2861-2864 - [c143]Helena Aidos, Ana L. N. Fred, Robert P. W. Duin:
Classification using High Order Dissimilarities in Non-euclidean Spaces. ICPRAM (1) 2012: 306-309 - [c142]Habil Kalkan
Automated Colorectal Cancer Diagnosis for Whole-Slice Histopathology. MICCAI (3) 2012: 550-557 - [c141]Alessandro Ibba, Robert P. W. Duin, Marco Loog:
Supervised localization of cell nuclei on TMA images. MMBIA 2012: 4321-4327 - [c140]Robert P. W. Duin, Ana L. N. Fred
Mode Seeking Clustering by KNN and Mean Shift Evaluated. SSPR/SPR 2012: 51-59 - [c139]Marco Loog, Robert P. W. Duin:
The Dipping Phenomenon. SSPR/SPR 2012: 310-317 - [i1]Mehrdad J. Gangeh, Robert P. W. Duin, Bart M. ter Haar Romeny, Mohamed S. Kamel:
A Two-Stage Combined Classifier in Scale Space Texture Classification. CoRR abs/1207.4089 (2012) - 2011
- [j72]Diana Porro-Muñoz, Isneri Talavera-Bustamante, Robert P. W. Duin, Mauricio Orozco-Alzate:
Combining Dissimilarities for Three-Way Data Classification. Computación y Sistemas 15(1) (2011) - [j71]Aydin Ulas
Dissimilarity-based detection of schizophrenia. Int. J. Imaging Syst. Technol. 21(2): 179-192 (2011) - [j70]Viet Cuong Dinh, Raimund Leitner
SEDMI: Saliency based edge detection in multispectral images. Image Vis. Comput. 29(8): 546-556 (2011) - [j69]Chunxia Zhang, Robert P. W. Duin:
An experimental study of one- and two-level classifier fusion for different sample sizes. Pattern Recognit. Lett. 32(14): 1756-1767 (2011) - [j68]Diana Porro-Muñoz, Robert P. W. Duin, Isneri Talavera-Bustamante, Mauricio Orozco-Alzate
Classification of three-way data by the dissimilarity representation. Signal Process. 91(11): 2520-2529 (2011) - [c138]Robert P. W. Duin, Elzbieta Pekalska:
The Dissimilarity Representation for Structural Pattern Recognition. CIARP 2011: 1-24 - [c137]Sang-Woon Kim, Robert P. W. Duin:
Dissimilarity-Based Classifications in Eigenspaces. CIARP 2011: 425-432 - [c136]Wan-Jui Lee, Robert P. W. Duin, Marco Loog:
Generalized Augmentation of Multiple Kernels. MCS 2011: 116-125 - [c135]David M. J. Tax, Marco Loog, Robert P. W. Duin, Veronika Cheplygina
Bag Dissimilarities for Multiple Instance Learning. SIMBAD 2011: 222-234 - [c134]Diana Porro-Muñoz, Robert P. W. Duin, Isneri Talavera-Bustamante, Mauricio Orozco-Alzate
A Study on the Influence of Shape in Classifying Small Spectral Data Sets. SIMBAD 2011: 306-320 - [c133]Olga Rajadell, Pedro García-Sevilla
Semi-supervised hyperspectral pixel classification using interactive labeling. WHISPERS 2011: 1-4 - 2010
- [j67]Robert P. W. Duin, Denis Laurendeau, Brian C. Lovell
Award winning papers from the 19th International Conference on Pattern Recognition (ICPR). Pattern Recognit. Lett. 31(8): 649 (2010) - [j66]Nigar Sen Köktas, Nese Yalabik, Günes Yavuzer, Robert P. W. Duin:
A multi-classifier for grading knee osteoarthritis using gait analysis. Pattern Recognit. Lett. 31(9): 898-904 (2010) - [c132]Sang-Woon Kim, Robert P. W. Duin:
On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure. CIARP 2010: 418-425 - [c131]Mónica Millán-Giraldo, Robert P. W. Duin, José Salvador Sánchez
Dissimilarity-based classification of data with missing attributes. CIP 2010: 293-298 - [c130]Wan-Jui Lee, Robert P. W. Duin, Alessandro Ibba, Marco Loog:
An experimental study on combining Euclidean distances. CIP 2010: 304-309 - [c129]Richard C. Wilson, Edwin R. Hancock
Spherical embeddings for non-Euclidean dissimilarities. CVPR 2010: 1903-1910 - [c128]Robert P. W. Duin:
Pattern Recognition as a Human Centered non-Euclidean Problem. ICEIS (1) 2010: 5 - [c127]Robert P. W. Duin:
Non-Euclidean Problems in Pattern Recognition Related to Human Expert Knowledge. ICEIS 2010: 15-28 - [c126]Robert P. W. Duin, Marco Loog, Elzbieta Pekalska, David M. J. Tax:
Feature-Based Dissimilarity Space Classification. ICPR Contests 2010: 46-55 - [c125]Yenisel Plasencia Calana
Prototype Selection for Dissimilarity Representation by a Genetic Algorithm. ICPR 2010: 177-180 - [c124]Diana Porro-Muñoz, Robert P. W. Duin, Mauricio Orozco-Alzate
Classifying Three-way Seismic Volcanic Data by Dissimilarity Representation. ICPR 2010: 814-817 - [c123]Robert P. W. Duin, Mauricio Orozco-Alzate
Classification of Volcano Events Observed by Multiple Seismic Stations. ICPR 2010: 1052-1055 - [c122]Mehrdad J. Gangeh, Mohamed S. Kamel
Random Subspace Method in Text Categorization. ICPR 2010: 2049-2052 - [c121]Pavel Paclík, Carmen Lai, Thomas C. W. Landgrebe, Robert P. W. Duin:
ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers. ICPR 2010: 2977-2980 - [c120]Alessandro Ibba, Robert P. W. Duin, Wan-Jui Lee:
A Study on Combining Sets of Differently Measured Dissimilarities. ICPR 2010: 3360-3363 - [c119]Stefan Klein
Early diagnosis of dementia based on intersubject whole-brain dissimilarities. ISBI 2010: 249-252 - [c118]Wan-Jui Lee, Robert P. W. Duin, Horst Bunke:
Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems. MCS 2010: 155-164 - [c117]Lauge Sørensen
Image Dissimilarity-Based Quantification of Lung Disease from CT. MICCAI (1) 2010: 37-44 - [c116]Robert P. W. Duin:
Pattern Recognition as a Human Centered non-Euclidean Problem. PRIS 2010: 3-12 - [c115]Lauge Sørensen
Dissimilarity-Based Multiple Instance Learning. SSPR/SPR 2010: 129-138 - [c114]Robert P. W. Duin, Elzbieta Pekalska:
Non-Euclidean Dissimilarities: Causes and Informativeness. SSPR/SPR 2010: 324-333 - [c113]Sang-Woon Kim, Robert P. W. Duin:
An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces. SSPR/SPR 2010: 559-568 - [c112]Diana Porro-Muñoz, Robert P. W. Duin, Mauricio Orozco-Alzate
The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure. SSPR/SPR 2010: 569-578
2000 – 2009
- 2009
- [j65]Piotr Juszczak, David M. J. Tax, Elzbieta Pekalska, Robert P. W. Duin:
Minimum spanning tree based one-class classifier. Neurocomputing 72(7-9): 1859-1869 (2009) - [j64]Manuele Bicego, Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin:
Component-based discriminative classification for hidden Markov models. Pattern Recognit. 42(11): 2637-2648 (2009) - [j63]Mauricio Orozco-Alzate
A generalization of dissimilarity representations using feature lines and feature planes. Pattern Recognit. Lett. 30(3): 242-254 (2009) - [j62]Barat Mojaradi
Dimensionality Reduction of Hyperspectral Data via Spectral Feature Extraction. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2091-2105 (2009) - [c111]Yenisel Plasencia
A Study on Representations for Face Recognition from Thermal Images. CIARP 2009: 185-192 - [c110]Sang-Woon Kim, Robert P. W. Duin:
A Combine-Correct-Combine Scheme for Optimizing Dissimilarity-Based Classifiers. CIARP 2009: 425-432 - [c109]Diana Porro, Robert P. W. Duin, Isneri Talavera-Bustamante, Noslén Hernández-González
The Representation of Chemical Spectral Data for Classification. CIARP 2009: 513-520 - [c108]Manuele Bicego, Marco Cristani, Vittorio Murino
Clustering-Based Construction of Hidden Markov Models for Generative Kernels. EMMCVPR 2009: 466-479 - [c107]David M. J. Tax, Marco Loog, Robert P. W. Duin:
Optimal Mean-Precision Classifier. MCS 2009: 72-81 - [c106]Wan-Jui Lee, Robert P. W. Duin:
A Labelled Graph Based Multiple Classifier System. MCS 2009: 201-210 - [c105]Chunxia Zhang, Robert P. W. Duin:
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets. MCS 2009: 478-487 - [c104]Nigar Sen Köktas, Robert P. W. Duin:
Statistical Analysis of Gait Data to Assist Clinical Decision Making. MCBR-CDS 2009: 61-68 - [c103]Viet Cuong Dinh, Raimund Leitner
A Clustering Based Method for Edge Detection in Hyperspectral Images. SCIA 2009: 580-587 - 2008
- [j61]Thomas C. W. Landgrebe, Robert P. W. Duin:
Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 30(5): 810-822 (2008) - [j60]Sergio Escalera
Subclass Problem-Dependent Design for Error-Correcting Output Codes. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1041-1054 (2008) - [j59]Yunlei Li
Integration of prior knowledge of measurement noise in kernel density classification. Pattern Recognit. 41(1): 320-330 (2008) - [j58]Claudio Marrocco
Maximizing the area under the ROC curve by pairwise feature combination. Pattern Recognit. 41(6): 1961-1974 (2008) - [j57]David M. J. Tax, Robert P. W. Duin:
Growing a multi-class classifier with a reject option. Pattern Recognit. Lett. 29(10): 1565-1570 (2008) - [j56]Elzbieta Pekalska, Robert P. W. Duin:
Beyond Traditional Kernels: Classification in Two Dissimilarity-Based Representation Spaces. IEEE Trans. Syst. Man Cybern. Part C 38(6): 729-744 (2008) - [c102]Mauricio Orozco-Alzate
Spectral Characterization of Volcanic Earthquakes at Nevado del Ruiz Volcano Using Spectral Band Selection/Extraction Techniques. CIARP 2008: 708-715 - [c101]Robert P. W. Duin, Elzbieta Pekalska:
On refining dissimilarity matrices for an improved NN learning. ICPR 2008: 1-4 - [c100]Pavel Paclík, Carmen Lai, Jana Novovicová, Robert P. W. Duin:
Variance estimation for two-class and multi-class ROC analysis using operating point averaging. ICPR 2008: 1-4 - [c99]Wan-Jui Lee, Robert P. W. Duin:
An Inexact Graph Comparison Approach in Joint Eigenspace. SSPR/SPR 2008: 35-44 - [c98]Paolo Simeone
A Fast Approach to Improve Classification Performance of ECOC Classification Systems. SSPR/SPR 2008: 459-468 - [c97]Robert P. W. Duin, Elzbieta Pekalska, Artsiom Harol, Wan-Jui Lee, Horst Bunke:
On Euclidean Corrections for Non-Euclidean Dissimilarities. SSPR/SPR 2008: 551-561 - [c96]David M. J. Tax, Robert P. W. Duin:
Learning Curves for the Analysis of Multiple Instance Classifiers. SSPR/SPR 2008: 724-733 - 2007
- [j55]Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robert P. W. Duin:
Pairwise feature evaluation for constructing reduced representations. Pattern Anal. Appl. 10(1): 55-68 (2007) - [j54]Thomas C. W. Landgrebe, Robert P. W. Duin:
Approximating the multiclass ROC by pairwise analysis. Pattern Recognit. Lett. 28(13): 1747-1758 (2007) - [c95]Sang-Woon Kim, Robert P. W. Duin:
On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition. Canadian AI 2007: 110-121 - [c94]Mauricio Orozco-Alzate, Robert P. W. Duin, César Germán Castellanos-Domínguez:
Generalizing Dissimilarity Representations Using Feature Lines. CIARP 2007: 370-379 - [c93]Sang-Woon Kim, Robert P. W. Duin:
On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers for Appearance-Based Face Recognition. CIARP 2007: 466-476 - [c92]Wan-Jui Lee, Sergey Verzakov, Robert P. W. Duin:
Kernel Combination Versus Classifier Combination. MCS 2007: 22-31 - [c91]Manuele Bicego, Elzbieta Pekalska, Robert P. W. Duin:
Group-Induced Vector Spaces. MCS 2007: 190-199 - [p1]Robert P. W. Duin, Elzbieta Pekalska:
The Science of Pattern Recognition. Achievements and Perspectives. Challenges for Computational Intelligence 2007: 221-259 - 2006
- [j53]Pavel Paclík, Raimund Leitner
A study on design of object sorting algorithms in the industrial application using hyperspectral imaging. J. Real Time Image Process. 1(2): 101-108 (2006) - [j52]Elzbieta Pekalska, Robert P. W. Duin, Pavel Paclík:
Prototype selection for dissimilarity-based classifiers. Pattern Recognit. 39(2): 189-208 (2006) - [j51]M. Lozano, José Martínez Sotoca, José Salvador Sánchez
Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces. Pattern Recognit. 39(10): 1827-1838 (2006) - [j50]Robert P. W. Duin, Marco Loog, Tin Kam Ho:
Recent submissions in linear dimensionality reduction and face recognition. Pattern Recognit. Lett. 27(7): 707-708 (2006) - [j49]Thomas C. W. Landgrebe, David M. J. Tax, Pavel Paclík, Robert P. W. Duin:
The interaction between classification and reject performance for distance-based reject-option classifiers. Pattern Recognit. Lett. 27(8): 908-917 (2006) - [j48]Pavel Paclík, Jana Novovicová, Robert P. W. Duin:
Building Road-Sign Classifiers Using a Trainable Similarity Measure. IEEE Trans. Intell. Transp. Syst. 7(3): 309-321 (2006) - [c90]David M. J. Tax, Robert P. W. Duin:
Linear model combining by optimizing the Area under the ROC curve. ICPR (4) 2006: 119-122 - [c89]Thomas C. W. Landgrebe, Pavel Paclík, Robert P. W. Duin:
Precision-recall operating characteristic (P-ROC) curves in imprecise environments. ICPR (4) 2006: 123-127 - [c88]Elzbieta Pekalska, Robert P. W. Duin:
Dissimilarity-based classification for vectorial representations. ICPR (3) 2006: 137-140 - [c87]Pavel Paclík, Jana Novovicová, Robert P. W. Duin:
A Trainable Similarity Measure for Image Classification. ICPR (3) 2006: 391-394 - [c86]Piotr Juszczak, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin:
Domain Based LDA and QDA. ICPR (2) 2006: 788-791 - [c85]Elzbieta Pekalska, Robert P. W. Duin:
Learning with General Proximity Measures. PRIS 2006 - [c84]Robert P. W. Duin, Elzbieta Pekalska:
Structural Inference of Sensor-Based Measurements. SSPR/SPR 2006: 41-55 - [c83]Barbara Spillmann, Michel Neuhaus, Horst Bunke, Elzbieta Pekalska, Robert P. W. Duin:
Transforming Strings to Vector Spaces Using Prototype Selection. SSPR/SPR 2006: 287-296 - [c82]Thomas C. W. Landgrebe, Robert P. W. Duin:
Combining Accuracy and Prior Sensitivity for Classifier Design Under Prior Uncertainty. SSPR/SPR 2006: 512-521 - [c81]Marina Skurichina, Serguei Verzakov, Pavel Paclík, Robert P. W. Duin:
Effectiveness of Spectral Band Selection/Extraction Techniques for Spectral Data. SSPR/SPR 2006: 541-550 - [c80]Serguei Verzakov, Pavel Paclík, Robert P. W. Duin:
Edge Detection in Hyperspectral Imaging: Multivariate Statistical Approaches. SSPR/SPR 2006: 551-559 - [c79]David M. J. Tax, Piotr Juszczak, Elzbieta Pekalska, Robert P. W. Duin:
Outlier Detection Using Ball Descriptions with Adjustable Metric. SSPR/SPR 2006: 587-595 - [c78]Artsiom Harol, Elzbieta Pekalska, Serguei Verzakov, Robert P. W. Duin:
Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces. SSPR/SPR 2006: 613-621 - [c77]Elzbieta Pekalska, Artsiom Harol, Robert P. W. Duin, Barbara Spillmann, Horst Bunke:
Non-Euclidean or Non-metric Measures Can Be Informative. SSPR/SPR 2006: 871-880 - 2005
- [b1]Elzbieta Pekalska, Robert P. W. Duin:
The Dissimilarity Representation for Pattern Recognition - Foundations and Applications. Series in Machine Perception and Artificial Intelligence 64, WorldScientific 2005, ISBN 978-981-256-530-3, pp. 1-636 - [j47]Marco Loog, Bram van Ginneken
Dimensionality reduction of image features using the canonical contextual correlation projection. Pattern Recognit. 38(12): 2409-2418 (2005) - [c76]Robert P. W. Duin, Elzbieta Pekalska:
Open Issues in Pattern Recognition. CORES 2005: 27-42 - [c75]Piotr Juszczak, Robert P. W. Duin:
Learning from a Test Set. CORES 2005: 203-210 - [c74]Elzbieta Pekalska, Artsiom Harol, Carmen Lai, Robert P. W. Duin:
Pairwise Selection of Features and Prototypes. CORES 2005: 271-278 - [c73]Pavel Paclík, Thomas C. W. Landgrebe, David M. J. Tax, Robert P. W. Duin:
On Deriving the Second-Stage Training Set for Trainable Combiners. Multiple Classifier Systems 2005: 136-146 - [c72]Marina Skurichina, Robert P. W. Duin:
Combining Feature Subsets in Feature Selection. Multiple Classifier Systems 2005: 165-175 - [c71]Thomas C. W. Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin:
Optimising Two-Stage Recognition Systems. Multiple Classifier Systems 2005: 206-215 - [c70]Pavel Paclík, Serguei Verzakov, Robert P. W. Duin:
Improving the Maximum-Likelihood Co-occurrence Classifier: A Study on Classification of Inhomogeneous Rock Images. SCIA 2005: 998-1008 - [c69]Serguei Verzakov, Pavel Paclík, Robert P. W. Duin:
The Tangent Kernel Approach to Illumination-Robust Texture Classification. SCIA 2005: 1009-1016 - 2004
- [j46]Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík:
A Study On Combining Image Representations For Image Classification And Retrieval. Int. J. Pattern Recognit. Artif. Intell. 18(5): 867-890 (2004) - [j45]David M. J. Tax, Robert P. W. Duin:
Support Vector Data Description. Mach. Learn. 54(1): 45-66 (2004) - [j44]Marco Loog, Robert P. W. Duin, Max A. Viergever:
The MDF discrimination measure: Fisher in disguise. Neural Networks 17(4): 563-566 (2004) - [j43]Marco Loog, Robert P. W. Duin:
Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion. IEEE Trans. Pattern Anal. Mach. Intell. 26(6): 732-739 (2004) - [j42]Mohamed E. M. Musa, Dick de Ridder, Robert P. W. Duin, Volkan Atalay
Almost autonomous training of mixtures of principal component analyzers. Pattern Recognit. Lett. 25(9): 1085-1095 (2004) - [c68]Marco Loog, Bram van Ginneken
Dimensionality Reduction by Canonical Contextual Correlation Projections. ECCV (1) 2004: 562-573 - [c67]Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax:
The Characterization of Classification Problems by Classifier Disagreements. ICPR (1) 2004: 140-143 - [c66]Piotr Juszczak, Robert P. W. Duin:
Selective Sampling Based on the Variation in Label Assignments. ICPR (3) 2004: 375-378 - [c65]Pavel Paclík, Serguei Verzakov, Robert P. W. Duin:
Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data. ICPR (4) 2004: 629-632 - [c64]Piotr Juszczak, Robert P. W. Duin:
Combining One-Class Classifiers to Classify Missing Data. Multiple Classifier Systems 2004: 92-101 - [c63]Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin:
Combining Dissimilarity-Based One-Class Classifiers. Multiple Classifier Systems 2004: 122-133 - [c62]Thomas C. W. Landgrebe, Pavel Paclík, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin:
Cost-Based Classifier Evaluation for Imbalanced Problems. SSPR/SPR 2004: 762-770 - [c61]Serguei Verzakov, Pavel Paclík, Robert P. W. Duin:
Feature Shaving for Spectroscopic Data. SSPR/SPR 2004: 1026-1033 - [c60]Marina Skurichina, Pavel Paclík, Robert P. W. Duin, Diana de Veld, Henricus J. C. M. Sterenborg, Max J. H. Witje, Jan L. N. Roodenburg:
Selection/Extraction of Spectral Regions for Autofluorescence Spectra Measured in the Oral Cavity. SSPR/SPR 2004: 1096-1104 - [c59]Elzbieta Pekalska, Robert P. W. Duin, Simon Günter, Horst Bunke:
On Not Making Dissimilarities Euclidean. SSPR/SPR 2004: 1145-1154 - [e2]Ana L. N. Fred
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 Proceedings. Lecture Notes in Computer Science 3138, Springer 2004, ISBN 3-540-22570-6 [contents] - 2003
- [j41]Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus:
Segmentation of multi-spectral images using the combined classifier approach. Image Vis. Comput. 21(6): 473-482 (2003) - [j40]Ludmila I. Kuncheva
Limits on the majority vote accuracy in classifier fusion. Pattern Anal. Appl. 6(1): 22-31 (2003) - [j39]Pavel Paclík, Robert P. W. Duin:
Dissimilarity-based classification of spectra: computational issues. Real Time Imaging 9(4): 237-244 (2003) - [c58]Piotr Juszczak, Robert P. W. Duin:
Selective Sampling Methods in One-Class Classification Problems. ICANN 2003: 140-148 - [c57]Dick de Ridder, Olga Kouropteva, Oleg Okun
Supervised Locally Linear Embedding. ICANN 2003: 333-341 - [c56]Mohamed E. M. Musa, Robert P. W. Duin, Dick de Ridder, Volkan Atalay
Texture Segmentation Using the Mixtures of Principal Component Analyzers. ISCIS 2003: 505-512 - 2002
- [j38]Alexander Ypma, Amir Leshem
Blind separation of rotating machine sources: bilinear forms and convolutive mixtures. Neurocomputing 49(1-4): 349-368 (2002) - [j37]Ludmila Kuncheva
An experimental study on diversity for bagging and boosting with linear classifiers. Inf. Fusion 3(4): 245-258 (2002) - [j36]Marina Skurichina, Robert P. W. Duin:
Bagging, Boosting and the Random Subspace Method for Linear Classifiers. Pattern Anal. Appl. 5(2): 121-135 (2002) - [j35]Robert P. W. Duin, Fabio Roli
A note on core research issues for statistical pattern recognition. Pattern Recognit. Lett. 23(4): 493-499 (2002) - [j34]Elzbieta Pekalska, Robert P. W. Duin:
Dissimilarity representations allow for building good classifiers. Pattern Recognit. Lett. 23(8): 943-956 (2002) - [c55]Elzbieta Pekalska, Robert P. W. Duin:
Prototype Selection for Finding Efficient Representations of Dissimilarity Data. ICPR (3) 2002: 37-40 - [c54]David M. J. Tax, Robert P. W. Duin:
Using Two-Class Classifiers for Multiclass Classification. ICPR (2) 2002: 124-127 - [c53]Dick de Ridder, Elzbieta Pekalska, Robert P. W. Duin:
The Economics of Classification: Error vs. Complexity. ICPR (2) 2002: 244-247 - [c52]Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus:
Supervised Segmentation of Textures in Backscatter Images. ICPR (2) 2002: 490-493 - [c51]Robert P. W. Duin:
The Combining Classifier: To Train or Not to Train? ICPR (2) 2002: 765-770 - [c50]Marina Skurichina, Ludmila Kuncheva
Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy. Multiple Classifier Systems 2002: 62-71 - [c49]Elzbieta Pekalska, Robert P. W. Duin, Marina Skurichina:
A Discussion on the Classifier Projection Space for Classifier Combining. Multiple Classifier Systems 2002: 137-148 - [c48]Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík:
On Combining One-Class Classifiers for Image Database Retrieval. Multiple Classifier Systems 2002: 212-221 - [c47]Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin:
One-Class LP Classifiers for Dissimilarity Representations. NIPS 2002: 761-768 - [c46]Robert P. W. Duin, Elzbieta Pekalska:
Possibilities of Zero-Error Recognition by Dissimilarity Representations. PRIS 2002: 20-32 - [c45]Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus:
On Feature Selection with Measurement Cost and Grouped Features. SSPR/SPR 2002: 461-469 - [c44]Elzbieta Pekalska, Robert P. W. Duin:
Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings. SSPR/SPR 2002: 488-497 - [c43]Marco Loog, Robert P. W. Duin:
Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data. SSPR/SPR 2002: 508-517 - [c42]Dick de Ridder, Robert P. W. Duin, Josef Kittler:
Texture Description by Independent Components. SSPR/SPR 2002: 587-596 - [e1]Terry Caelli, Adnan Amin, Robert P. W. Duin, Mohamed S. Kamel, Dick de Ridder:
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops SSPR 2002 and SPR 2002, Windsor, Ontario, Canada, August 6-9, 2002, Proceedings. Lecture Notes in Computer Science 2396, Springer 2002, ISBN 3-540-44011-9 [contents] - 2001
- [j33]David M. J. Tax, Robert P. W. Duin:
Uniform Object Generation for Optimizing One-class Classifiers. J. Mach. Learn. Res. 2: 155-173 (2001) - [j32]Elzbieta Pekalska, Pavel Paclík, Robert P. W. Duin:
A Generalized Kernel Approach to Dissimilarity-based Classification. J. Mach. Learn. Res. 2: 175-211 (2001) - [j31]Marco Loog, Robert P. W. Duin, Reinhold Haeb-Umbach
Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria. IEEE Trans. Pattern Anal. Mach. Intell. 23(7): 762-766 (2001) - [j30]Ludmila Kuncheva
Decision templates for multiple classifier fusion: an experimental comparison. Pattern Recognit. 34(2): 299-314 (2001) - [c41]Alexander Ypma, Co Melissant, Ole Baunbæk-Jensen, Robert P. W. Duin:
Health Monitoring with Learning Methods. ICANN 2001: 547-553 - [c40]Marina Skurichina, Robert P. W. Duin:
Bagging and the Random Subspace Method for Redundant Feature Spaces. Multiple Classifier Systems 2001: 1-10 - [c39]David M. J. Tax, Robert P. W. Duin:
Combining One-Class Classifiers. Multiple Classifier Systems 2001: 299-308 - [c38]Elzbieta Pekalska, Robert P. W. Duin:
On Combining Dissimilarity Representations. Multiple Classifier Systems 2001: 359-368 - 2000
- [j29]Anil K. Jain, Robert P. W. Duin, Jianchang Mao:
Statistical Pattern Recognition: A Review. IEEE Trans. Pattern Anal. Mach. Intell. 22(1): 4-37 (2000) - [j28]David M. J. Tax, Martijn van Breukelen, Robert P. W. Duin, Josef Kittler:
Combining multiple classifiers by averaging or by multiplying? Pattern Recognit. 33(9): 1475-1485 (2000) - [j27]Marina Skurichina, Sarunas Raudys, Robert P. W. Duin:
k-nearest neighbors directed noise injection in multilayer perceptron training. IEEE Trans. Neural Networks Learn. Syst. 11(2): 504-511 (2000) - [c37]Dick de Ridder, Josef Kittler, Robert P. W. Duin:
Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation. BMVC 2000: 1-10 - [c36]Dick de Ridder, Josef Kittler, Olaf Lemmers, Robert P. W. Duin:
The Adaptive Subspace Map for Texture Segmentation. ICPR 2000: 1216-1220 - [c35]Robert P. W. Duin:
Classifiers in Almost Empty Spaces. ICPR 2000: 2001-2007 - [c34]Elzbieta Pekalska, Robert P. W. Duin:
Classifiers for Dissimilarity-Based Pattern Recognition. ICPR 2000: 2012-2016 - [c33]Ludmila I. Kuncheva
Is Independence Good For Combining Classifiers? ICPR 2000: 2168-2171 - [c32]Robert P. W. Duin, Marco Loog, Reinhold Haeb-Umbach:
Multi-Class Linear Feature Extraction by Nonlinear PCA. ICPR 2000: 2398-2401 - [c31]Marina Skurichina, Alexander Ypma, Robert P. W. Duin:
The Role of Subclasses in Machine Diagnostics. ICPR 2000: 2668-2671 - [c30]David M. J. Tax, Robert P. W. Duin:
Data Description in Subspaces. ICPR 2000: 2672-2675 - [c29]Robert P. W. Duin, David M. J. Tax:
Experiments with Classifier Combining Rules. Multiple Classifier Systems 2000: 16-29 - [c28]Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin:
Combining Fisher Linear Discriminants for Dissimilarity Representations. Multiple Classifier Systems 2000: 117-126 - [c27]Marina Skurichina, Robert P. W. Duin:
Boosting in Linear Discriminant Analysis. Multiple Classifier Systems 2000: 190-199 - [c26]Dick de Ridder, Olaf Lemmers, Robert P. W. Duin, Josef Kittler:
The Adaptive Subspace Map for Image Description and Image Database Retrieval. SSPR/SPR 2000: 94-103 - [c25]Marina Skurichina, Robert P. W. Duin:
The Role of Combining Rules in Bagging and Boosting. SSPR/SPR 2000: 631-640
1990 – 1999
- 1999
- [j26]Marina Skurichina, Robert P. W. Duin:
Regularisation of Linear Classifiers by Adding Redundant Features. Pattern Anal. Appl. 2(1): 44-52 (1999) - [j25]Dick de Ridder, Robert P. W. Duin, Piet W. Verbeek:
The Applicability of Neural Networks to Non-linear Image Processing. Pattern Anal. Appl. 2(2): 111-128 (1999) - [j24]Robert P. W. Duin, Elzbieta Pekalska, Dick de Ridder:
Relational discriminant analysis. Pattern Recognit. Lett. 20(11-13): 1175-1181 (1999) - [j23]David M. J. Tax, Robert P. W. Duin:
Support vector domain description. Pattern Recognit. Lett. 20(11-13): 1191-1199 (1999) - [c24]David M. J. Tax, Robert P. W. Duin:
Data domain description using support vectors. ESANN 1999: 251-256 - [c23]David M. J. Tax, Alexander Ypma, Robert P. W. Duin:
Pump Failure Detection Using Support Vector Data Descriptions. IDA 1999: 415-426 - 1998
- [j22]Martijn van Breukelen, Robert P. W. Duin, David M. J. Tax, J. E. den Hartog:
Handwritten digit recognition by combined classifiers. Kybernetika 34(4): 381-386 (1998) - [j21]Robert P. W. Duin, Dick de Ridder, David M. J. Tax:
Featureless pattern classification. Kybernetika 34(4): 399-404 (1998) - [j20]Josef Kittler, Mohamad Hatef, Robert P. W. Duin, Jiri Matas
On Combining Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 20(3): 226-239 (1998) - [j19]Marina Skurichina, Robert P. W. Duin:
Bagging for linear classifiers. Pattern Recognit. 31(7): 909-930 (1998) - [j18]Sarunas Raudys, Robert P. W. Duin:
Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix. Pattern Recognit. Lett. 19(5-6): 385-392 (1998) - [c22]Dick de Ridder, Robert P. W. Duin, Piet W. Verbeek, Lucas J. van Vliet:
On the Application of Neural Networks to Non-Linear Image Processing Tasks. ICONIP 1998: 161-165 - [c21]Martijn van Breukelen, Robert P. W. Duin:
Neural network initialization by combined classifiers. ICPR 1998: 215-218 - [c20]Robert P. W. Duin:
Relational discriminant analysis and its large sample size problem. ICPR 1998: 445-449 - [c19]Marina Skurichina, Robert P. W. Duin:
Regularization by Adding Redundant Features. SSPR/SPR 1998: 564-572 - [c18]David M. J. Tax, Robert P. W. Duin:
Outlier Detection Using Classifier Instability. SSPR/SPR 1998: 593-601 - [c17]Robert P. W. Duin, David M. J. Tax:
Classifier Conditional Posterior Probabilities. SSPR/SPR 1998: 611-619 - 1997
- [j17]Robert P. W. Duin, Dick de Ridder, David M. J. Tax:
Experiments with a featureless approach to pattern recognition. Pattern Recognit. Lett. 18(11-13): 1159-1166 (1997) - [j16]Aarnoud Hoekstra, Robert P. W. Duin:
Investigating redundancy in feed-forward neural classifiers. Pattern Recognit. Lett. 18(11-13): 1293-1300 (1997) - [j15]Dick de Ridder, Robert P. W. Duin:
Sammon's mapping using neural networks: A comparison. Pattern Recognit. Lett. 18(11-13): 1307-1316 (1997) - [c16]Robert P. W. Duin, Dick de Ridder:
Neural network experiences between perceptrons and support vectors. BMVC 1997 - [c15]Alexander Ypma, Robert P. W. Duin:
Novelty Detection Using Self-Organizing Maps. ICONIP (2) 1997: 1322-1325 - 1996
- [j14]Robert P. W. Duin:
A note on comparing classifiers. Pattern Recognit. Lett. 17(5): 529-536 (1996) - [c14]Aarnoud Hoekstra, Servaes A. Tholen, Robert P. W. Duin:
Estimating the Reliability of Neural Network Classifications. ICANN 1996: 53-58 - [c13]Aarnoud Hoekstra, Robert P. W. Duin:
On the nonlinearity of pattern classifiers. ICPR 1996: 271-275 - [c12]Marina Skurichina, Robert P. W. Duin:
Stabilizing classifiers for very small sample sizes. ICPR 1996: 891-896 - [c11]Josef Kittler, Mohamad Hatef, Robert P. W. Duin:
Combining classifiers. ICPR 1996: 897-901 - 1995
- [j13]Peter J. Verveer, Robert P. W. Duin:
An Evaluation of Intrinsic Dimensionality Estimators. IEEE Trans. Pattern Anal. Mach. Intell. 17(1): 81-86 (1995) - [c10]Robert P. W. Duin, Edwin Th. G. Hoek:
SMD position measurement by a Kohonen network compared with image processing. CAIP 1995: 606-611 - 1994
- [j12]Robert P. W. Duin:
Superlearning and neural network magic. Pattern Recognit. Lett. 15(3): 215-217 (1994) - [c9]Martin A. Kraaijveld, Robert P. W. Duin:
The effective capacity of multilayer feedforward network classifiers. ICPR (2) 1994: 99-103 - 1993
- [c8]Rik D. T. Janssen
Evaluation method for an automatic map interpretation system for cadastral maps. ICDAR 1993: 125-128 - [c7]Wouter F. Schmidt, Sarunas Raudys, Martin A. Kraaijveld, Marina Skurikhina, Robert P. W. Duin:
Initializations, back-propagation and generalization of feed-forward classifiers. ICNN 1993: 598-604 - [c6]Robert R. N. Bakker, Martin A. Kraaijveld, Robert P. W. Duin, Wouter F. Schmidt:
On the speed of training networks with correlated features. ICNN 1993: 919-922 - 1992
- [c5]Wouter F. Schmidt, Martin A. Kraaijveld, Robert P. W. Duin:
Feedforward neural networks with random weights. ICPR (2) 1992: 1-4 - 1990
- [j11]Wouter B. Teeuw
An algorithm for benchmarking an SIMD pyramid with the Abingdon Cross. Pattern Recognit. Lett. 11(7): 501-506 (1990) - [c4]Pieter P. Jonker, Erwin R. Komen, Robert P. W. Duin:
Architectures for Multidimensional Low- and Intermediate Level Image Processing (Invited). MVA 1990: 307-316 - [c3]Erwin R. Komen, Wouter B. Teeuw, Robert P. W. Duin, Pieter P. Jonker:
Mapping an N N Image on P Processors. MVA 1990: 327-330
1980 – 1989
- 1989
- [c2]Etienne P. Romsom, Robert P. W. Duin:
Model Based Recognition of 3D Objects From Single 2D Images. IAS 1989: 853-863 - 1988
- [c1]Johannes Buurman, Robert P. W. Duin:
Implementation and Use of Software Scanning on a Small CLIP4 Processor Array. Pattern Recognition 1988: 269-277 - 1986
- [j10]Robert P. W. Duin, H. Haringa, R. Zeelen:
Fast percentile filtering. Pattern Recognit. Lett. 4(4): 269-272 (1986) - 1984
- [j9]Leo Dorst, Robert P. W. Duin:
Spirograph Theory: A Framework for Calculations on Digitized Straight Lines. IEEE Trans. Pattern Anal. Mach. Intell. 6(5): 632-639 (1984) - 1982
- [j8]Robert P. W. Duin:
The use of continuous variables for labeling objects. Pattern Recognit. Lett. 1(1): 15-20 (1982) - 1981
- [j7]Frits T. Beukema toe Water, Robert P. W. Duin:
Dealing with a priori knowledge by fuzzy labels. Pattern Recognit. 14(1-6): 111-115 (1981)
1970 – 1979
- 1978
- [j6]Robert P. W. Duin, Chris E. van Haersma Buma, L. Roosma:
On the evaluation of independent binary features (Corresp.). IEEE Trans. Inf. Theory 24(2): 248-249 (1978) - [j5]Robert P. W. Duin:
The mean recognition performance for independent distributions (Corresp.). IEEE Trans. Inf. Theory 24(3): 394-395 (1978) - [j4]Robert P. W. Duin:
Correction to 'The Mean Recognition performance for Independent Distribution'. IEEE Trans. Inf. Theory 24(6): 782 (1978) - 1977
- [j3]Robert P. W. Duin:
Comments on "Independence, Measurement Complexity, and Classification Performance". IEEE Trans. Syst. Man Cybern. 7(7): 559-560 (1977) - 1976
- [j2]Chris E. van Haersma Buma, Robert P. W. Duin:
Computation of Concave Piecewise Linear Discriminant Functions Using Chebyshev Polynomials. IEEE Trans. Computers 25(2): 178-186 (1976) - [j1]Robert P. W. Duin:
On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions. IEEE Trans. Computers 25(11): 1175-1179 (1976)
Coauthor Index
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