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ORCIDRobert 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, Marco Loog, Edel B. García Reyes:
A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection. CIARP 2016: 150-157 - [c158]Mauricio Orozco-Alzate, Robert P. W. Duin, Manuele Bicego:
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, Robert P. W. Duin, Jan van de Poll:
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, Viet Cuong Dinh, Robert P. W. Duin:
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, Elzbieta Pekalska, Robert P. W. Duin:
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, Sang-Woon Kim, Marco Loog:
Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance. S+SSPR 2014: 183-192 - [c155]Yenisel Plasencia Calana, Mauricio Orozco-Alzate, Heydi Mendez Vazquez, Edel B. García Reyes, Robert P. W. Duin:
Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria. S+SSPR 2014: 343-352 - 2013
- [j78]Yenisel Plasencia Calana, Mauricio Orozco-Alzate, Edel B. García Reyes, Robert P. W. Duin:
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, Martin De Biasio, Thomas Arnold, Viet Cuong Dinh, Marco Loog, Robert P. W. Duin:
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, Mauricio Orozco-Alzate, Edel B. García Reyes, Robert P. W. Duin:
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, Veronika Cheplygina, Robert P. W. Duin, Edel B. García Reyes, Mauricio Orozco-Alzate, David M. J. Tax, Marco Loog:
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, David M. J. Tax, Marco Loog, Robert P. W. Duin:
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, Isneri Talavera-Bustamante:
Continuous Multi-way Shape Measure for Dissimilarity Representation. CIARP 2012: 430-437 - [c148]Yenisel Plasencia Calana, Edel B. García Reyes, Robert P. W. Duin, Mauricio Orozco-Alzate:
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, Marius Nap, Robert P. W. Duin, Marco Loog:
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, Marco Loog, Elzbieta Pekalska:
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, Robert P. W. Duin, Umberto Castellani, Marco Loog, Pasquale Mirtuono, Manuele Bicego, Vittorio Murino, Marcella Bellani, Stefania Cerruti, Michele Tansella, Paolo Brambilla:
Dissimilarity-based detection of schizophrenia. Int. J. Imaging Syst. Technol. 21(2): 179-192 (2011) - [j70]Viet Cuong Dinh, Raimund Leitner, Pavel Paclík, Marco Loog, Robert P. W. Duin:
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, Wan-Jui Lee:
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, Viet Cuong Dinh, Robert P. W. Duin:
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, Elzbieta Pekalska, Robert P. W. Duin:
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, Edel B. García Reyes, Mauricio Orozco-Alzate, Robert P. W. Duin:
Prototype Selection for Dissimilarity Representation by a Genetic Algorithm. ICPR 2010: 177-180 - [c124]Diana Porro-Muñoz, Robert P. W. Duin, Mauricio Orozco-Alzate, Isneri Talavera-Bustamante, John Makario Londoño-Bonilla:
Classifying Three-way Seismic Volcanic Data by Dissimilarity Representation. ICPR 2010: 814-817 - [c123]Robert P. W. Duin, Mauricio Orozco-Alzate, John Makario Londoño-Bonilla:
Classification of Volcano Events Observed by Multiple Seismic Stations. ICPR 2010: 1052-1055 - [c122]Mehrdad J. Gangeh, Mohamed S. Kamel, Robert P. W. Duin:
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, Marco Loog, Fedde van der Lijn, Tom den Heijer, Alexander Hammers, Marleen de Bruijne, Aad van der Lugt, Robert P. W. Duin, Monique M. B. Breteler, Wiro J. Niessen:
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, Marco Loog, Pechin Lo, Haseem Ashraf, Asger Dirksen, Robert P. W. Duin, Marleen de Bruijne:
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, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin:
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, Isneri Talavera-Bustamante, John Makario Londoño-Bonilla:
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, Robert P. W. Duin, Germán Castellanos-Domínguez:
A generalization of dissimilarity representations using feature lines and feature planes. Pattern Recognit. Lett. 30(3): 242-254 (2009) - [j62]Barat Mojaradi, Hamid Abrishami Moghaddam, Mohammad Javad Valadan Zoej, Robert P. W. Duin:
Dimensionality Reduction of Hyperspectral Data via Spectral Feature Extraction. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2091-2105 (2009) - [c111]Yenisel Plasencia, Edel B. García Reyes, Robert P. W. Duin, Heydi Mendez Vazquez, César San Martín, Claudio Soto:
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, Elzbieta Pekalska, Robert P. W. Duin:
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, Pavel Paclík, Robert P. W. Duin:
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, David M. J. Tax, Oriol Pujol, Petia Radeva, Robert P. W. Duin:
Subclass Problem-Dependent Design for Error-Correcting Output Codes. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1041-1054 (2008) - [j59]Yunlei Li, Dick de Ridder, Robert P. W. Duin, Marcel J. T. Reinders:
Integration of prior knowledge of measurement noise in kernel density classification. Pattern Recognit. 41(1): 320-330 (2008) - [j58]Claudio Marrocco, Robert P. W. Duin, Francesco Tortorella:
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, Marina Skurichina, Robert P. W. Duin:
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, David M. J. Tax, Robert P. W. Duin, Francesco Tortorella:
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, Robert P. W. Duin:
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, Filiberto Pla, Elzbieta Pekalska, Robert P. W. Duin:
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]