Robert P. W. Duin

250 papers A* 1A 3B 28C 19Misc 2Journal 86Unranked 106
YearRankTypeTitle / Venue / Authors
2021 J jnl
The Origin of Patterns.
Frontiers Comput. Sci.
Robert P. W. Duin
2017 J jnl
Fast kNN mode seeking clustering applied to active learning.
CoRR
Robert P. W. Duin, Sergey Verzakov
2016 C conf
A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection.
CIARP
Yenisel Plasencia Calana, Yan Li, Robert P. W. Duin, Mauricio Orozco-Alzate, Marco Loog, Edel B. García Reyes
2016 J jnl
Domain based classification.
CoRR
Robert P. W. Duin, Elzbieta Pekalska
2016 — conf
The Similarity Between Dissimilarities.
S+SSPR
David M. J. Tax, Veronika Cheplygina, Robert P. W. Duin, Jan van de Poll
2016 — conf
Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space.
S+SSPR
Mauricio Orozco-Alzate, Robert P. W. Duin, Manuele Bicego
2016 J jnl
Zero-error dissimilarity based classifiers.
CoRR
Robert P. W. Duin, Elzbieta Pekalska
2015 J jnl
The dissimilarity representation for finding universals from particulars by an anti-essentialist approach.
Pattern Recognit. Lett.
Robert P. W. Duin
2014 J jnl
Improving Hyperspectral Pixel Classification With Unsupervised Training Data Selection.
IEEE Geosci. Remote. Sens. Lett.
Olga Rajadell, Pedro García-Sevilla, Viet Cuong Dinh, Robert P. W. Duin
2014 — conf
Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance.
S+SSPR
Robert P. W. Duin, Manuele Bicego, Mauricio Orozco-Alzate, Sang-Woon Kim, Marco Loog
2014 J jnl
Spherical and Hyperbolic Embeddings of Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Richard C. Wilson, Edwin R. Hancock, Elzbieta Pekalska, Robert P. W. Duin
2014 — conf
Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria.
S+SSPR
Yenisel Plasencia Calana, Mauricio Orozco-Alzate, Heydi Mendez Vazquez, Edel B. García Reyes, Robert P. W. Duin
2013 J jnl
FIDOS: A generalized Fisher based feature extraction method for domain shift.
Pattern Recognit.
Viet Cuong Dinh, Robert P. W. Duin, Ignacio Piqueras-Salazar, Marco Loog
2013 — conf
Missing Values in Dissimilarity-Based Classification of Multi-way Data.
CIARP (1)
Diana Porro-Muñoz, Robert P. W. Duin, Isneri Talavera
2013 J jnl
Multi-spectral video endoscopy system for the detection of cancerous tissue.
Pattern Recognit. Lett.
Raimund Leitner, Martin De Biasio, Thomas Arnold, Viet Cuong Dinh, Marco Loog, Robert P. W. Duin
2013 J jnl
Multiple-instance learning as a classifier combining problem.
Pattern Recognit.
Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog
2013 — ch.
Non-Euclidean Dissimilarities: Causes, Embedding and Informativeness.
Similarity-Based Pattern Analysis and Recognition
Robert P. W. Duin, Elzbieta Pekalska, Marco Loog
2013 — conf
On the Informativeness of Asymmetric Dissimilarities.
SIMBAD
Yenisel Plasencia Calana, Veronika Cheplygina, Robert P. W. Duin, Edel B. García Reyes, Mauricio Orozco-Alzate, David M. J. Tax, Marco Loog
2013 J jnl
Selecting feature lines in generalized dissimilarity representations for pattern recognition.
Digit. Signal Process.
Yenisel Plasencia Calana, Mauricio Orozco-Alzate, Edel B. García Reyes, Robert P. W. Duin
2013 C conf
The Area under the ROC Curve as a Criterion for Clustering Evaluation.
ICPRAM
Helena Aidos, Robert P. W. Duin, Ana L. N. Fred
2013 — conf
The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples.
MCS
Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog
2013 — conf
Towards Cluster-Based Prototype Sets for Classification in the Dissimilarity Space.
CIARP (1)
Yenisel Plasencia Calana, Mauricio Orozco-Alzate, Edel B. García Reyes, Robert P. W. Duin
2012 J jnl
A Two-Stage Combined Classifier in Scale Space Texture Classification
CoRR
Mehrdad J. Gangeh, Robert P. W. Duin, Bart M. ter Haar Romeny, Mohamed S. Kamel
2012 B conf
A study on semi-supervised dissimilarity representation.
ICPR
Viet Cuong Dinh, Robert P. W. Duin, Marco Loog
2012 — conf
Automated Colorectal Cancer Diagnosis for Whole-Slice Histopathology.
MICCAI (3)
Habil Kalkan, Marius Nap, Robert P. W. Duin, Marco Loog
2012 B conf
Automated classification of local patches in colon histopathology.
ICPR
Habil Kalkan, Marius Nap, Robert P. W. Duin, Marco Loog
2012 J jnl
Bridging Structure and Feature Representations in Graph Matching.
Int. J. Pattern Recognit. Artif. Intell.
Wan-Jui Lee, Veronika Cheplygina, David M. J. Tax, Marco Loog, Robert P. W. Duin
2012 — conf
Classification using High Order Dissimilarities in Non-euclidean Spaces.
ICPRAM (1)
Helena Aidos, Ana L. N. Fred, Robert P. W. Duin
2012 B conf
Combining multi-scale dissimilarities for image classification.
ICPR
Yan Li, Robert P. W. Duin, Marco Loog
2012 C conf
Continuous Multi-way Shape Measure for Dissimilarity Representation.
CIARP
Diana Porro-Muñoz, Robert P. W. Duin, Mauricio Orozco-Alzate, Isneri Talavera-Bustamante
2012 — conf
Mode Seeking Clustering by KNN and Mean Shift Evaluated.
SSPR/SPR
Robert P. W. Duin, Ana L. N. Fred, Marco Loog, Elzbieta Pekalska
2012 C conf
On Using Asymmetry Information for Classification in Extended Dissimilarity Spaces.
CIARP
Yenisel Plasencia Calana, Edel B. García Reyes, Robert P. W. Duin, Mauricio Orozco-Alzate
2012 — conf
Supervised localization of cell nuclei on TMA images.
MMBIA
Alessandro Ibba, Robert P. W. Duin, Marco Loog
2012 — conf
The Dipping Phenomenon.
SSPR/SPR
Marco Loog, Robert P. W. Duin
2012 J jnl
The dissimilarity space: Bridging structural and statistical pattern recognition.
Pattern Recognit. Lett.
Robert P. W. Duin, Elzbieta Pekalska
2012 B conf
Training data selection for cancer detection in multispectral endoscopy images.
ICPR
Viet Cuong Dinh, Marco Loog, Raimund Leitner, Olga Rajadell, Robert P. W. Duin
2011 — conf
A Study on the Influence of Shape in Classifying Small Spectral Data Sets.
SIMBAD
Diana Porro-Muñoz, Robert P. W. Duin, Isneri Talavera-Bustamante, Mauricio Orozco-Alzate
2011 J jnl
An experimental study of one- and two-level classifier fusion for different sample sizes.
Pattern Recognit. Lett.
Chunxia Zhang, Robert P. W. Duin
2011 — conf
Bag Dissimilarities for Multiple Instance Learning.
SIMBAD
David M. J. Tax, Marco Loog, Robert P. W. Duin, Veronika Cheplygina, Wan-Jui Lee
2011 J jnl
Classification of three-way data by the dissimilarity representation.
Signal Process.
Diana Porro-Muñoz, Robert P. W. Duin, Isneri Talavera-Bustamante, Mauricio Orozco-Alzate
2011 J jnl
Combining Dissimilarities for Three-Way Data Classification.
Computación y Sistemas
Diana Porro-Muñoz, Isneri Talavera-Bustamante, Robert P. W. Duin, Mauricio Orozco-Alzate
2011 C conf
Dissimilarity-Based Classifications in Eigenspaces.
CIARP
Sang-Woon Kim, Robert P. W. Duin
2011 J jnl
Dissimilarity-based detection of schizophrenia.
Int. J. Imaging Syst. Technol.
Aydin Ulas, Robert P. W. Duin, Umberto Castellani, Marco Loog, Pasquale Mirtuono, Manuele Bicego, Vittorio Murino, Marcella Bellani, Stefania Cerruti, Michele Tansella, Paolo Brambilla
2011 — conf
Generalized Augmentation of Multiple Kernels.
MCS
Wan-Jui Lee, Robert P. W. Duin, Marco Loog
2011 J jnl
SEDMI: Saliency based edge detection in multispectral images.
Image Vis. Comput.
Viet Cuong Dinh, Raimund Leitner, Pavel Paclík, Marco Loog, Robert P. W. Duin
2011 — conf
Semi-supervised hyperspectral pixel classification using interactive labeling.
WHISPERS
Olga Rajadell, Pedro García-Sevilla, Viet Cuong Dinh, Robert P. W. Duin
2011 C conf
The Dissimilarity Representation for Structural Pattern Recognition.
CIARP
Robert P. W. Duin, Elzbieta Pekalska
2010 B conf
A Study on Combining Sets of Differently Measured Dissimilarities.
ICPR
Alessandro Ibba, Robert P. W. Duin, Wan-Jui Lee
2010 J jnl
A multi-classifier for grading knee osteoarthritis using gait analysis.
Pattern Recognit. Lett.
Nigar Sen Köktas, Nese Yalabik, Günes Yavuzer, Robert P. W. Duin
2010 — conf
An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces.
SSPR/SPR
Sang-Woon Kim, Robert P. W. Duin
2010 — conf
An experimental study on combining Euclidean distances.
CIP
Wan-Jui Lee, Robert P. W. Duin, Alessandro Ibba, Marco Loog
2010 J jnl
Award winning papers from the 19th International Conference on Pattern Recognition (ICPR).
Pattern Recognit. Lett.
Robert P. W. Duin, Denis Laurendeau, Brian C. Lovell
2010 B conf
Classification of Volcano Events Observed by Multiple Seismic Stations.
ICPR
Robert P. W. Duin, Mauricio Orozco-Alzate, John Makario Londoño-Bonilla
2010 B conf
Classifying Three-way Seismic Volcanic Data by Dissimilarity Representation.
ICPR
Diana Porro-Muñoz, Robert P. W. Duin, Mauricio Orozco-Alzate, Isneri Talavera-Bustamante, John Makario Londoño-Bonilla
2010 — conf
Dissimilarity-Based Multiple Instance Learning.
SSPR/SPR
Lauge Sørensen, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin
2010 — conf
Dissimilarity-based classification of data with missing attributes.
CIP
Mónica Millán-Giraldo, Robert P. W. Duin, José Salvador Sánchez
2010 — conf
Early diagnosis of dementia based on intersubject whole-brain dissimilarities.
ISBI
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
2010 — conf
Feature-Based Dissimilarity Space Classification.
ICPR Contests
Robert P. W. Duin, Marco Loog, Elzbieta Pekalska, David M. J. Tax
2010 — conf
Image Dissimilarity-Based Quantification of Lung Disease from CT.
MICCAI (1)
Lauge Sørensen, Marco Loog, Pechin Lo, Haseem Ashraf, Asger Dirksen, Robert P. W. Duin, Marleen de Bruijne
2010 — conf
Non-Euclidean Dissimilarities: Causes and Informativeness.
SSPR/SPR
Robert P. W. Duin, Elzbieta Pekalska
2010 — conf
Non-Euclidean Problems in Pattern Recognition Related to Human Expert Knowledge.
ICEIS
Robert P. W. Duin
2010 C conf
On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure.
CIARP
Sang-Woon Kim, Robert P. W. Duin
2010 — conf
Pattern Recognition as a Human Centered non-Euclidean Problem.
ICEIS (1)
Robert P. W. Duin
2010 — conf
Pattern Recognition as a Human Centered non-Euclidean Problem.
PRIS
Robert P. W. Duin
2010 B conf
Prototype Selection for Dissimilarity Representation by a Genetic Algorithm.
ICPR
Yenisel Plasencia Calana, Edel B. García Reyes, Mauricio Orozco-Alzate, Robert P. W. Duin
2010 B conf
ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers.
ICPR
Pavel Paclík, Carmen Lai, Thomas C. W. Landgrebe, Robert P. W. Duin
2010 B conf
Random Subspace Method in Text Categorization.
ICPR
Mehrdad J. Gangeh, Mohamed S. Kamel, Robert P. W. Duin
2010 — conf
Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems.
MCS
Wan-Jui Lee, Robert P. W. Duin, Horst Bunke
2010 A* conf
Spherical embeddings for non-Euclidean dissimilarities.
CVPR
Richard C. Wilson, Edwin R. Hancock, Elzbieta Pekalska, Robert P. W. Duin
2010 — conf
The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure.
SSPR/SPR
Diana Porro-Muñoz, Robert P. W. Duin, Mauricio Orozco-Alzate, Isneri Talavera-Bustamante, John Makario Londoño-Bonilla
2009 — conf
A Clustering Based Method for Edge Detection in Hyperspectral Images.
SCIA
Viet Cuong Dinh, Raimund Leitner, Pavel Paclík, Robert P. W. Duin
2009 C conf
A Combine-Correct-Combine Scheme for Optimizing Dissimilarity-Based Classifiers.
CIARP
Sang-Woon Kim, Robert P. W. Duin
2009 — conf
A Labelled Graph Based Multiple Classifier System.
MCS
Wan-Jui Lee, Robert P. W. Duin
2009 C conf
A Study on Representations for Face Recognition from Thermal Images.
CIARP
Yenisel Plasencia, Edel B. García Reyes, Robert P. W. Duin, Heydi Mendez Vazquez, César San Martín, Claudio Soto
2009 J jnl
A generalization of dissimilarity representations using feature lines and feature planes.
Pattern Recognit. Lett.
Mauricio Orozco-Alzate, Robert P. W. Duin, Germán Castellanos-Domínguez
2009 — conf
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets.
MCS
Chunxia Zhang, Robert P. W. Duin
2009 — conf
Clustering-Based Construction of Hidden Markov Models for Generative Kernels.
EMMCVPR
Manuele Bicego, Marco Cristani, Vittorio Murino, Elzbieta Pekalska, Robert P. W. Duin
2009 J jnl
Component-based discriminative classification for hidden Markov models.
Pattern Recognit.
Manuele Bicego, Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin
2009 J jnl
Dimensionality Reduction of Hyperspectral Data via Spectral Feature Extraction.
IEEE Trans. Geosci. Remote. Sens.
Barat Mojaradi, Hamid Abrishami Moghaddam, Mohammad Javad Valadan Zoej, Robert P. W. Duin
2009 J jnl
Minimum spanning tree based one-class classifier.
Neurocomputing
Piotr Juszczak, David M. J. Tax, Elzbieta Pekalska, Robert P. W. Duin
2009 — conf
Optimal Mean-Precision Classifier.
MCS
David M. J. Tax, Marco Loog, Robert P. W. Duin
2009 — conf
Statistical Analysis of Gait Data to Assist Clinical Decision Making.
MCBR-CDS
Nigar Sen Köktas, Robert P. W. Duin
2009 C conf
The Representation of Chemical Spectral Data for Classification.
CIARP
Diana Porro, Robert P. W. Duin, Isneri Talavera-Bustamante, Noslén Hernández-González
2008 — conf
A Fast Approach to Improve Classification Performance of ECOC Classification Systems.
SSPR/SPR
Paolo Simeone, David M. J. Tax, Robert P. W. Duin, Francesco Tortorella
2008 — conf
An Inexact Graph Comparison Approach in Joint Eigenspace.
SSPR/SPR
Wan-Jui Lee, Robert P. W. Duin
2008 J jnl
Beyond Traditional Kernels: Classification in Two Dissimilarity-Based Representation Spaces.
IEEE Trans. Syst. Man Cybern. Part C
Elzbieta Pekalska, Robert P. W. Duin
2008 J jnl
Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Thomas C. W. Landgrebe, Robert P. W. Duin
2008 J jnl
Growing a multi-class classifier with a reject option.
Pattern Recognit. Lett.
David M. J. Tax, Robert P. W. Duin
2008 J jnl
Integration of prior knowledge of measurement noise in kernel density classification.
Pattern Recognit.
Yunlei Li, Dick de Ridder, Robert P. W. Duin, Marcel J. T. Reinders
2008 — conf
Learning Curves for the Analysis of Multiple Instance Classifiers.
SSPR/SPR
David M. J. Tax, Robert P. W. Duin
2008 J jnl
Maximizing the area under the ROC curve by pairwise feature combination.
Pattern Recognit.
Claudio Marrocco, Robert P. W. Duin, Francesco Tortorella
2008 — conf
On Euclidean Corrections for Non-Euclidean Dissimilarities.
SSPR/SPR
Robert P. W. Duin, Elzbieta Pekalska, Artsiom Harol, Wan-Jui Lee, Horst Bunke
2008 B conf
On refining dissimilarity matrices for an improved NN learning.
ICPR
Robert P. W. Duin, Elzbieta Pekalska
2008 C conf
Spectral Characterization of Volcanic Earthquakes at Nevado del Ruiz Volcano Using Spectral Band Selection/Extraction Techniques.
CIARP
Mauricio Orozco-Alzate, Marina Skurichina, Robert P. W. Duin
2008 J jnl
Subclass Problem-Dependent Design for Error-Correcting Output Codes.
IEEE Trans. Pattern Anal. Mach. Intell.
Sergio Escalera, David M. J. Tax, Oriol Pujol, Petia Radeva, Robert P. W. Duin
2008 B conf
Variance estimation for two-class and multi-class ROC analysis using operating point averaging.
ICPR
Pavel Paclík, Carmen Lai, Jana Novovicová, Robert P. W. Duin
2007 J jnl
Approximating the multiclass ROC by pairwise analysis.
Pattern Recognit. Lett.
Thomas C. W. Landgrebe, Robert P. W. Duin
2007 C conf
Generalizing Dissimilarity Representations Using Feature Lines.
CIARP
Mauricio Orozco-Alzate, Robert P. W. Duin, César Germán Castellanos-Domínguez
2007 — conf
Group-Induced Vector Spaces.
MCS
Manuele Bicego, Elzbieta Pekalska, Robert P. W. Duin
2007 — conf
Kernel Combination Versus Classifier Combination.
MCS
Wan-Jui Lee, Sergey Verzakov, Robert P. W. Duin
2007 — conf
On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition.
Canadian AI
Sang-Woon Kim, Robert P. W. Duin
2007 C conf
On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers for Appearance-Based Face Recognition.
CIARP
Sang-Woon Kim, Robert P. W. Duin
2007 J jnl
Pairwise feature evaluation for constructing reduced representations.
Pattern Anal. Appl.
Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robert P. W. Duin
2007 — ch.
The Science of Pattern Recognition. Achievements and Perspectives.
Challenges for Computational Intelligence
Robert P. W. Duin, Elzbieta Pekalska
2006 — conf
A Trainable Similarity Measure for Image Classification.
ICPR (3)
Pavel Paclík, Jana Novovicová, Robert P. W. Duin
2006 J jnl
A study on design of object sorting algorithms in the industrial application using hyperspectral imaging.
J. Real Time Image Process.
Pavel Paclík, Raimund Leitner, Robert P. W. Duin
2006 — conf
Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces.
SSPR/SPR
Artsiom Harol, Elzbieta Pekalska, Serguei Verzakov, Robert P. W. Duin
2006 J jnl
Building Road-Sign Classifiers Using a Trainable Similarity Measure.
IEEE Trans. Intell. Transp. Syst.
Pavel Paclík, Jana Novovicová, Robert P. W. Duin
2006 — conf
Combining Accuracy and Prior Sensitivity for Classifier Design Under Prior Uncertainty.
SSPR/SPR
Thomas C. W. Landgrebe, Robert P. W. Duin
2006 — conf
Dissimilarity-based classification for vectorial representations.
ICPR (3)
Elzbieta Pekalska, Robert P. W. Duin
2006 — conf
Domain Based LDA and QDA.
ICPR (2)
Piotr Juszczak, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin
2006 — conf
Edge Detection in Hyperspectral Imaging: Multivariate Statistical Approaches.
SSPR/SPR
Serguei Verzakov, Pavel Paclík, Robert P. W. Duin
2006 — conf
Effectiveness of Spectral Band Selection/Extraction Techniques for Spectral Data.
SSPR/SPR
Marina Skurichina, Serguei Verzakov, Pavel Paclík, Robert P. W. Duin
2006 J jnl
Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces.
Pattern Recognit.
M. Lozano, José Martínez Sotoca, José Salvador Sánchez, Filiberto Pla, Elzbieta Pekalska, Robert P. W. Duin
2006 — conf
Learning with General Proximity Measures.
PRIS
Elzbieta Pekalska, Robert P. W. Duin
2006 — conf
Linear model combining by optimizing the Area under the ROC curve.
ICPR (4)
David M. J. Tax, Robert P. W. Duin
2006 — conf
Non-Euclidean or Non-metric Measures Can Be Informative.
SSPR/SPR
Elzbieta Pekalska, Artsiom Harol, Robert P. W. Duin, Barbara Spillmann, Horst Bunke
2006 — conf
Outlier Detection Using Ball Descriptions with Adjustable Metric.
SSPR/SPR
David M. J. Tax, Piotr Juszczak, Elzbieta Pekalska, Robert P. W. Duin
2006 — conf
Precision-recall operating characteristic (P-ROC) curves in imprecise environments.
ICPR (4)
Thomas C. W. Landgrebe, Pavel Paclík, Robert P. W. Duin
2006 J jnl
Prototype selection for dissimilarity-based classifiers.
Pattern Recognit.
Elzbieta Pekalska, Robert P. W. Duin, Pavel Paclík
2006 J jnl
Recent submissions in linear dimensionality reduction and face recognition.
Pattern Recognit. Lett.
Robert P. W. Duin, Marco Loog, Tin Kam Ho
2006 — conf
Structural Inference of Sensor-Based Measurements.
SSPR/SPR
Robert P. W. Duin, Elzbieta Pekalska
2006 J jnl
The interaction between classification and reject performance for distance-based reject-option classifiers.
Pattern Recognit. Lett.
Thomas C. W. Landgrebe, David M. J. Tax, Pavel Paclík, Robert P. W. Duin
2006 — conf
Transforming Strings to Vector Spaces Using Prototype Selection.
SSPR/SPR
Barbara Spillmann, Michel Neuhaus, Horst Bunke, Elzbieta Pekalska, Robert P. W. Duin
2005 — conf
Combining Feature Subsets in Feature Selection.
Multiple Classifier Systems
Marina Skurichina, Robert P. W. Duin
2005 J jnl
Dimensionality reduction of image features using the canonical contextual correlation projection.
Pattern Recognit.
Marco Loog, Bram van Ginneken, Robert P. W. Duin
2005 — conf
Improving the Maximum-Likelihood Co-occurrence Classifier: A Study on Classification of Inhomogeneous Rock Images.
SCIA
Pavel Paclík, Serguei Verzakov, Robert P. W. Duin
2005 — conf
Learning from a Test Set.
CORES
Piotr Juszczak, Robert P. W. Duin
2005 — conf
On Deriving the Second-Stage Training Set for Trainable Combiners.
Multiple Classifier Systems
Pavel Paclík, Thomas C. W. Landgrebe, David M. J. Tax, Robert P. W. Duin
2005 — conf
Open Issues in Pattern Recognition.
CORES
Robert P. W. Duin, Elzbieta Pekalska
2005 — conf
Optimising Two-Stage Recognition Systems.
Multiple Classifier Systems
Thomas C. W. Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin
2005 — conf
Pairwise Selection of Features and Prototypes.
CORES
Elzbieta Pekalska, Artsiom Harol, Carmen Lai, Robert P. W. Duin
2005 — book
The Dissimilarity Representation for Pattern Recognition - Foundations and Applications
Elzbieta Pekalska, Robert P. W. Duin
2005 — conf
The Tangent Kernel Approach to Illumination-Robust Texture Classification.
SCIA
Serguei Verzakov, Pavel Paclík, Robert P. W. Duin
2004 J jnl
A Study On Combining Image Representations For Image Classification And Retrieval.
Int. J. Pattern Recognit. Artif. Intell.
Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík
2004 J jnl
Almost autonomous training of mixtures of principal component analyzers.
Pattern Recognit. Lett.
Mohamed E. M. Musa, Dick de Ridder, Robert P. W. Duin, Volkan Atalay
2004 — conf
Combining Dissimilarity-Based One-Class Classifiers.
Multiple Classifier Systems
Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin
2004 — conf
Combining One-Class Classifiers to Classify Missing Data.
Multiple Classifier Systems
Piotr Juszczak, Robert P. W. Duin
2004 — conf
Cost-Based Classifier Evaluation for Imbalanced Problems.
SSPR/SPR
Thomas C. W. Landgrebe, Pavel Paclík, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin
2004 — conf
Dimensionality Reduction by Canonical Contextual Correlation Projections.
ECCV (1)
Marco Loog, Bram van Ginneken, Robert P. W. Duin
2004 — conf
Feature Shaving for Spectroscopic Data.
SSPR/SPR
Serguei Verzakov, Pavel Paclík, Robert P. W. Duin
2004 J jnl
Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion.
IEEE Trans. Pattern Anal. Mach. Intell.
Marco Loog, Robert P. W. Duin
2004 — conf
Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data.
ICPR (4)
Pavel Paclík, Serguei Verzakov, Robert P. W. Duin
2004 — conf
On Not Making Dissimilarities Euclidean.
SSPR/SPR
Elzbieta Pekalska, Robert P. W. Duin, Simon Günter, Horst Bunke
2004 — conf
Selection/Extraction of Spectral Regions for Autofluorescence Spectra Measured in the Oral Cavity.
SSPR/SPR
Marina Skurichina, Pavel Paclík, Robert P. W. Duin, Diana de Veld, Henricus J. C. M. Sterenborg, Max J. H. Witje, Jan L. N. Roodenburg
2004 — conf
Selective Sampling Based on the Variation in Label Assignments.
ICPR (3)
Piotr Juszczak, Robert P. W. Duin
2004 — ed.
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 Proceedings
SSPR/SPR
Ana L. N. Fred, Terry Caelli, Robert P. W. Duin, Aurélio C. Campilho, Dick de Ridder
2004 J jnl
Support Vector Data Description.
Mach. Learn.
David M. J. Tax, Robert P. W. Duin
2004 — conf
The Characterization of Classification Problems by Classifier Disagreements.
ICPR (1)
Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax
2004 J jnl
The MDF discrimination measure: Fisher in disguise.
Neural Networks
Marco Loog, Robert P. W. Duin, Max A. Viergever
2003 J jnl
Dissimilarity-based classification of spectra: computational issues.
Real Time Imaging
Pavel Paclík, Robert P. W. Duin
2003 J jnl
Limits on the majority vote accuracy in classifier fusion.
Pattern Anal. Appl.
Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp, Robert P. W. Duin
2003 J jnl
Segmentation of multi-spectral images using the combined classifier approach.
Image Vis. Comput.
Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus
2003 C conf
Selective Sampling Methods in One-Class Classification Problems.
ICANN
Piotr Juszczak, Robert P. W. Duin
2003 C conf
Supervised Locally Linear Embedding.
ICANN
Dick de Ridder, Olga Kouropteva, Oleg Okun, Matti Pietikäinen, Robert P. W. Duin
2003 — conf
Texture Segmentation Using the Mixtures of Principal Component Analyzers.
ISCIS
Mohamed E. M. Musa, Robert P. W. Duin, Dick de Ridder, Volkan Atalay
2002 — conf
A Discussion on the Classifier Projection Space for Classifier Combining.
Multiple Classifier Systems
Elzbieta Pekalska, Robert P. W. Duin, Marina Skurichina
2002 J jnl
A note on core research issues for statistical pattern recognition.
Pattern Recognit. Lett.
Robert P. W. Duin, Fabio Roli, Dick de Ridder
2002 J jnl
An experimental study on diversity for bagging and boosting with linear classifiers.
Inf. Fusion
Ludmila Kuncheva, Marina Skurichina, Robert P. W. Duin
2002 — conf
Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy.
Multiple Classifier Systems
Marina Skurichina, Ludmila Kuncheva, Robert P. W. Duin
2002 J jnl
Bagging, Boosting and the Random Subspace Method for Linear Classifiers.
Pattern Anal. Appl.
Marina Skurichina, Robert P. W. Duin
2002 J jnl
Blind separation of rotating machine sources: bilinear forms and convolutive mixtures
Neurocomputing
Alexander Ypma, Amir Leshem, Robert P. W. Duin
2002 J jnl
Dissimilarity representations allow for building good classifiers.
Pattern Recognit. Lett.
Elzbieta Pekalska, Robert P. W. Duin
2002 — conf
Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data.
SSPR/SPR
Marco Loog, Robert P. W. Duin
2002 — conf
On Combining One-Class Classifiers for Image Database Retrieval.
Multiple Classifier Systems
Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík
2002 — conf
On Feature Selection with Measurement Cost and Grouped Features.
SSPR/SPR
Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus
2002 — conf
One-Class LP Classifiers for Dissimilarity Representations.
NIPS
Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin
2002 — conf
Possibilities of Zero-Error Recognition by Dissimilarity Representations.
PRIS
Robert P. W. Duin, Elzbieta Pekalska
2002 — conf
Prototype Selection for Finding Efficient Representations of Dissimilarity Data.
ICPR (3)
Elzbieta Pekalska, Robert P. W. Duin
2002 — conf
Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings.
SSPR/SPR
Elzbieta Pekalska, Robert P. W. Duin
2002 — ed.
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops SSPR 2002 and SPR 2002, Windsor, Ontario, Canada, August 6-9, 2002, Proceedings
SSPR/SPR
Terry Caelli, Adnan Amin, Robert P. W. Duin, Mohamed S. Kamel, Dick de Ridder
2002 — conf
Supervised Segmentation of Textures in Backscatter Images.
ICPR (2)
Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus
2002 — conf
Texture Description by Independent Components.
SSPR/SPR
Dick de Ridder, Robert P. W. Duin, Josef Kittler
2002 — conf
The Combining Classifier: To Train or Not to Train?
ICPR (2)
Robert P. W. Duin
2002 — conf
The Economics of Classification: Error vs. Complexity.
ICPR (2)
Dick de Ridder, Elzbieta Pekalska, Robert P. W. Duin
2002 — conf
Using Two-Class Classifiers for Multiclass Classification.
ICPR (2)
David M. J. Tax, Robert P. W. Duin
2001 J jnl
A Generalized Kernel Approach to Dissimilarity-based Classification.
J. Mach. Learn. Res.
Elzbieta Pekalska, Pavel Paclík, Robert P. W. Duin
2001 — conf
Bagging and the Random Subspace Method for Redundant Feature Spaces.
Multiple Classifier Systems
Marina Skurichina, Robert P. W. Duin
2001 — conf
Combining One-Class Classifiers.
Multiple Classifier Systems
David M. J. Tax, Robert P. W. Duin
2001 J jnl
Decision templates for multiple classifier fusion: an experimental comparison.
Pattern Recognit.
Ludmila Kuncheva, James C. Bezdek, Robert P. W. Duin
2001 C conf
Health Monitoring with Learning Methods.
ICANN
Alexander Ypma, Co Melissant, Ole Baunbæk-Jensen, Robert P. W. Duin
2001 J jnl
Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria.
IEEE Trans. Pattern Anal. Mach. Intell.
Marco Loog, Robert P. W. Duin, Reinhold Haeb-Umbach
2001 — conf
On Combining Dissimilarity Representations.
Multiple Classifier Systems
Elzbieta Pekalska, Robert P. W. Duin
2001 J jnl
Uniform Object Generation for Optimizing One-class Classifiers.
J. Mach. Learn. Res.
David M. J. Tax, Robert P. W. Duin
2000 — conf
Boosting in Linear Discriminant Analysis.
Multiple Classifier Systems
Marina Skurichina, Robert P. W. Duin
2000 B conf
Classifiers for Dissimilarity-Based Pattern Recognition.
ICPR
Elzbieta Pekalska, Robert P. W. Duin
2000 B conf
Classifiers in Almost Empty Spaces.
ICPR
Robert P. W. Duin
2000 — conf
Combining Fisher Linear Discriminants for Dissimilarity Representations.
Multiple Classifier Systems
Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin
2000 J jnl
Combining multiple classifiers by averaging or by multiplying?
Pattern Recognit.
David M. J. Tax, Martijn van Breukelen, Robert P. W. Duin, Josef Kittler
2000 B conf
Data Description in Subspaces.
ICPR
David M. J. Tax, Robert P. W. Duin
2000 — conf
Experiments with Classifier Combining Rules.
Multiple Classifier Systems
Robert P. W. Duin, David M. J. Tax
2000 B conf
Is Independence Good For Combining Classifiers?
ICPR
Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp, Robert P. W. Duin
2000 B conf
Multi-Class Linear Feature Extraction by Nonlinear PCA.
ICPR
Robert P. W. Duin, Marco Loog, Reinhold Haeb-Umbach
2000 A conf
Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation.
BMVC
Dick de Ridder, Josef Kittler, Robert P. W. Duin
2000 J jnl
Statistical Pattern Recognition: A Review.
IEEE Trans. Pattern Anal. Mach. Intell.
Anil K. Jain, Robert P. W. Duin, Jianchang Mao
2000 — conf
The Adaptive Subspace Map for Image Description and Image Database Retrieval.
SSPR/SPR
Dick de Ridder, Olaf Lemmers, Robert P. W. Duin, Josef Kittler
2000 B conf
The Adaptive Subspace Map for Texture Segmentation.
ICPR
Dick de Ridder, Josef Kittler, Olaf Lemmers, Robert P. W. Duin
2000 — conf
The Role of Combining Rules in Bagging and Boosting.
SSPR/SPR
Marina Skurichina, Robert P. W. Duin
2000 B conf
The Role of Subclasses in Machine Diagnostics.
ICPR
Marina Skurichina, Alexander Ypma, Robert P. W. Duin
2000 J jnl
k-nearest neighbors directed noise injection in multilayer perceptron training.
IEEE Trans. Neural Networks Learn. Syst.
Marina Skurichina, Sarunas Raudys, Robert P. W. Duin
1999 B conf
Data domain description using support vectors.
ESANN
David M. J. Tax, Robert P. W. Duin
1999 B conf
Pump Failure Detection Using Support Vector Data Descriptions.
IDA
David M. J. Tax, Alexander Ypma, Robert P. W. Duin
1999 J jnl
Regularisation of Linear Classifiers by Adding Redundant Features.
Pattern Anal. Appl.
Marina Skurichina, Robert P. W. Duin
1999 J jnl
Relational discriminant analysis.
Pattern Recognit. Lett.
Robert P. W. Duin, Elzbieta Pekalska, Dick de Ridder
1999 J jnl
Support vector domain description.
Pattern Recognit. Lett.
David M. J. Tax, Robert P. W. Duin
1999 J jnl
The Applicability of Neural Networks to Non-linear Image Processing.
Pattern Anal. Appl.
Dick de Ridder, Robert P. W. Duin, Piet W. Verbeek
1998 J jnl
Bagging for linear classifiers.
Pattern Recognit.
Marina Skurichina, Robert P. W. Duin
1998 — conf
Classifier Conditional Posterior Probabilities.
SSPR/SPR
Robert P. W. Duin, David M. J. Tax
1998 J jnl
Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix.
Pattern Recognit. Lett.
Sarunas Raudys, Robert P. W. Duin
1998 J jnl
Featureless pattern classification.
Kybernetika
Robert P. W. Duin, Dick de Ridder, David M. J. Tax
1998 J jnl
Handwritten digit recognition by combined classifiers.
Kybernetika
Martijn van Breukelen, Robert P. W. Duin, David M. J. Tax, J. E. den Hartog
1998 B conf
Neural network initialization by combined classifiers.
ICPR
Martijn van Breukelen, Robert P. W. Duin
1998 J jnl
On Combining Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell.
Josef Kittler, Mohamad Hatef, Robert P. W. Duin, Jiri Matas
1998 B conf
On the Application of Neural Networks to Non-Linear Image Processing Tasks.
ICONIP
Dick de Ridder, Robert P. W. Duin, Piet W. Verbeek, Lucas J. van Vliet
1998 — conf
Outlier Detection Using Classifier Instability.
SSPR/SPR
David M. J. Tax, Robert P. W. Duin
1998 — conf
Regularization by Adding Redundant Features.
SSPR/SPR
Marina Skurichina, Robert P. W. Duin
1998 B conf
Relational discriminant analysis and its large sample size problem.
ICPR
Robert P. W. Duin
1997 J jnl
Experiments with a featureless approach to pattern recognition.
Pattern Recognit. Lett.
Robert P. W. Duin, Dick de Ridder, David M. J. Tax
1997 J jnl
Investigating redundancy in feed-forward neural classifiers.
Pattern Recognit. Lett.
Aarnoud Hoekstra, Robert P. W. Duin
1997 A conf
Neural network experiences between perceptrons and support vectors.
BMVC
Robert P. W. Duin, Dick de Ridder
1997 — conf
Novelty Detection Using Self-Organizing Maps.
ICONIP (2)
Alexander Ypma, Robert P. W. Duin
1997 J jnl
Sammon's mapping using neural networks: A comparison.
Pattern Recognit. Lett.
Dick de Ridder, Robert P. W. Duin
1996 J jnl
A note on comparing classifiers.
Pattern Recognit. Lett.
Robert P. W. Duin
1996 B conf
Combining classifiers.
ICPR
Josef Kittler, Mohamad Hatef, Robert P. W. Duin
1996 C conf
Estimating the Reliability of Neural Network Classifications.
ICANN
Aarnoud Hoekstra, Servaes A. Tholen, Robert P. W. Duin
1996 B conf
On the nonlinearity of pattern classifiers.
ICPR
Aarnoud Hoekstra, Robert P. W. Duin
1996 B conf
Stabilizing classifiers for very small sample sizes.
ICPR
Marina Skurichina, Robert P. W. Duin
1995 J jnl
An Evaluation of Intrinsic Dimensionality Estimators.
IEEE Trans. Pattern Anal. Mach. Intell.
Peter J. Verveer, Robert P. W. Duin
1995 C conf
SMD position measurement by a Kohonen network compared with image processing.
CAIP
Robert P. W. Duin, Edwin Th. G. Hoek
1994 J jnl
Superlearning and neural network magic.
Pattern Recognit. Lett.
Robert P. W. Duin
1994 — conf
The effective capacity of multilayer feedforward network classifiers.
ICPR (2)
Martin A. Kraaijveld, Robert P. W. Duin
1993 A conf
Evaluation method for an automatic map interpretation system for cadastral maps.
ICDAR
Rik D. T. Janssen, Robert P. W. Duin, Albert M. Vossepoel
1993 — conf
Initializations, back-propagation and generalization of feed-forward classifiers.
ICNN
Wouter F. Schmidt, Sarunas Raudys, Martin A. Kraaijveld, Marina Skurikhina, Robert P. W. Duin
1993 — conf
On the speed of training networks with correlated features.
ICNN
Robert R. N. Bakker, Martin A. Kraaijveld, Robert P. W. Duin, Wouter F. Schmidt
1992 — conf
Feedforward neural networks with random weights.
ICPR (2)
Wouter F. Schmidt, Martin A. Kraaijveld, Robert P. W. Duin
1990 J jnl
An algorithm for benchmarking an SIMD pyramid with the Abingdon Cross.
Pattern Recognit. Lett.
Wouter B. Teeuw, Robert P. W. Duin
1990 Misc conf
Architectures for Multidimensional Low- and Intermediate Level Image Processing (Invited).
MVA
Pieter P. Jonker, Erwin R. Komen, Robert P. W. Duin
1990 Misc conf
Mapping an N N Image on P Processors.
MVA
Erwin R. Komen, Wouter B. Teeuw, Robert P. W. Duin, Pieter P. Jonker
1989 C conf
Model Based Recognition of 3D Objects From Single 2D Images.
IAS
Etienne P. Romsom, Robert P. W. Duin
1988 B conf
Implementation and Use of Software Scanning on a Small CLIP4 Processor Array.
Pattern Recognition
Johannes Buurman, Robert P. W. Duin
1986 J jnl
Fast percentile filtering.
Pattern Recognit. Lett.
Robert P. W. Duin, H. Haringa, R. Zeelen
1984 J jnl
Spirograph Theory: A Framework for Calculations on Digitized Straight Lines.
IEEE Trans. Pattern Anal. Mach. Intell.
Leo Dorst, Robert P. W. Duin
1982 J jnl
The use of continuous variables for labeling objects.
Pattern Recognit. Lett.
Robert P. W. Duin
1981 J jnl
Dealing with a priori knowledge by fuzzy labels.
Pattern Recognit.
Frits T. Beukema toe Water, Robert P. W. Duin
1978 J jnl
Correction to 'The Mean Recognition performance for Independent Distribution'.
IEEE Trans. Inf. Theory
Robert P. W. Duin
1978 J jnl
On the evaluation of independent binary features (Corresp.).
IEEE Trans. Inf. Theory
Robert P. W. Duin, Chris E. van Haersma Buma, L. Roosma
1978 J jnl
The mean recognition performance for independent distributions (Corresp.).
IEEE Trans. Inf. Theory
Robert P. W. Duin
1977 J jnl
Comments on "Independence, Measurement Complexity, and Classification Performance".
IEEE Trans. Syst. Man Cybern.
Robert P. W. Duin
1976 J jnl
Computation of Concave Piecewise Linear Discriminant Functions Using Chebyshev Polynomials.
IEEE Trans. Computers
Chris E. van Haersma Buma, Robert P. W. Duin
1976 J jnl
On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions.
IEEE Trans. Computers
Robert P. W. Duin