Robert P. W. Duin

Affiliations:
  • Delft University of Technology, Pattern Recognition Laboratory


According to our database1, Robert P. W. Duin authored at least 247 papers between 1976 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
The Origin of Patterns.
Frontiers Comput. Sci., 2021

2017
Fast kNN mode seeking clustering applied to active learning.
CoRR, 2017

2016
Domain based classification.
CoRR, 2016

Zero-error dissimilarity based classifiers.
CoRR, 2016

The Similarity Between Dissimilarities.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015
The dissimilarity representation for finding universals from particulars by an anti-essentialist approach.
Pattern Recognit. Lett., 2015

2014
Spherical and Hyperbolic Embeddings of Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Improving Hyperspectral Pixel Classification With Unsupervised Training Data Selection.
IEEE Geosci. Remote. Sens. Lett., 2014

Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

2013
Non-Euclidean Dissimilarities: Causes, Embedding and Informativeness.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Multi-spectral video endoscopy system for the detection of cancerous tissue.
Pattern Recognit. Lett., 2013

Multiple-instance learning as a classifier combining problem.
Pattern Recognit., 2013

FIDOS: A generalized Fisher based feature extraction method for domain shift.
Pattern Recognit., 2013

Selecting feature lines in generalized dissimilarity representations for pattern recognition.
Digit. Signal Process., 2013

On the Informativeness of Asymmetric Dissimilarities.
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

The Area under the ROC Curve as a Criterion for Clustering Evaluation.
Proceedings of the ICPRAM 2013, 2013

Missing Values in Dissimilarity-Based Classification of Multi-way Data.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Towards Cluster-Based Prototype Sets for Classification in the Dissimilarity Space.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
The dissimilarity space: Bridging structural and statistical pattern recognition.
Pattern Recognit. Lett., 2012

Bridging Structure and Feature Representations in Graph Matching.
Int. J. Pattern Recognit. Artif. Intell., 2012

A Two-Stage Combined Classifier in Scale Space Texture Classification
CoRR, 2012

The Dipping Phenomenon.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Mode Seeking Clustering by KNN and Mean Shift Evaluated.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Supervised localization of cell nuclei on TMA images.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012

Automated Colorectal Cancer Diagnosis for Whole-Slice Histopathology.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Classification using High Order Dissimilarities in Non-euclidean Spaces.
Proceedings of the ICPRAM 2012, 2012

Combining multi-scale dissimilarities for image classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Automated classification of local patches in colon histopathology.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Training data selection for cancer detection in multispectral endoscopy images.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A study on semi-supervised dissimilarity representation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Continuous Multi-way Shape Measure for Dissimilarity Representation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

On Using Asymmetry Information for Classification in Extended Dissimilarity Spaces.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011
Classification of three-way data by the dissimilarity representation.
Signal Process., 2011

An experimental study of one- and two-level classifier fusion for different sample sizes.
Pattern Recognit. Lett., 2011

SEDMI: Saliency based edge detection in multispectral images.
Image Vis. Comput., 2011

Dissimilarity-based detection of schizophrenia.
Int. J. Imaging Syst. Technol., 2011

Combining Dissimilarities for Three-Way Data Classification.
Computación y Sistemas, 2011

Semi-supervised hyperspectral pixel classification using interactive labeling.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Bag Dissimilarities for Multiple Instance Learning.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

A Study on the Influence of Shape in Classifying Small Spectral Data Sets.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

Generalized Augmentation of Multiple Kernels.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Dissimilarity-Based Classifications in Eigenspaces.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

The Dissimilarity Representation for Structural Pattern Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
A multi-classifier for grading knee osteoarthritis using gait analysis.
Pattern Recognit. Lett., 2010

Award winning papers from the 19th International Conference on Pattern Recognition (ICPR).
Pattern Recognit. Lett., 2010

Dissimilarity-Based Multiple Instance Learning.
Proceedings of the Structural, 2010

The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure.
Proceedings of the Structural, 2010

An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces.
Proceedings of the Structural, 2010

Non-Euclidean Dissimilarities: Causes and Informativeness.
Proceedings of the Structural, 2010

Pattern Recognition as a Human Centered non-Euclidean Problem.
Proceedings of the Pattern Recognition in Information Systems, 2010

Image Dissimilarity-Based Quantification of Lung Disease from CT.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

Early diagnosis of dementia based on intersubject whole-brain dissimilarities.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Classifying Three-way Seismic Volcanic Data by Dissimilarity Representation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A Study on Combining Sets of Differently Measured Dissimilarities.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Random Subspace Method in Text Categorization.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Classification of Volcano Events Observed by Multiple Seismic Stations.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Feature-Based Dissimilarity Space Classification.
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

Prototype Selection for Dissimilarity Representation by a Genetic Algorithm.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Non-Euclidean Problems in Pattern Recognition Related to Human Expert Knowledge.
Proceedings of the Enterprise Information Systems - 12th International Conference, 2010

Spherical embeddings for non-Euclidean dissimilarities.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Dissimilarity-based classification of data with missing attributes.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

An experimental study on combining Euclidean distances.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009
Dimensionality Reduction of Hyperspectral Data via Spectral Feature Extraction.
IEEE Trans. Geosci. Remote. Sens., 2009

A generalization of dissimilarity representations using feature lines and feature planes.
Pattern Recognit. Lett., 2009

Component-based discriminative classification for hidden Markov models.
Pattern Recognit., 2009

Minimum spanning tree based one-class classifier.
Neurocomputing, 2009

A Clustering Based Method for Edge Detection in Hyperspectral Images.
Proceedings of the Image Analysis, 16th Scandinavian Conference, 2009

Statistical Analysis of Gait Data to Assist Clinical Decision Making.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2009

An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Optimal Mean-Precision Classifier.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

A Labelled Graph Based Multiple Classifier System.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Clustering-Based Construction of Hidden Markov Models for Generative Kernels.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

The Representation of Chemical Spectral Data for Classification.
Proceedings of the Progress in Pattern Recognition, 2009

A Study on Representations for Face Recognition from Thermal Images.
Proceedings of the Progress in Pattern Recognition, 2009

A Combine-Correct-Combine Scheme for Optimizing Dissimilarity-Based Classifiers.
Proceedings of the Progress in Pattern Recognition, 2009

2008
Beyond Traditional Kernels: Classification in Two Dissimilarity-Based Representation Spaces.
IEEE Trans. Syst. Man Cybern. Part C, 2008

Growing a multi-class classifier with a reject option.
Pattern Recognit. Lett., 2008

Maximizing the area under the ROC curve by pairwise feature combination.
Pattern Recognit., 2008

Integration of prior knowledge of measurement noise in kernel density classification.
Pattern Recognit., 2008

Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Subclass Problem-Dependent Design for Error-Correcting Output Codes.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Learning Curves for the Analysis of Multiple Instance Classifiers.
Proceedings of the Structural, 2008

A Fast Approach to Improve Classification Performance of ECOC Classification Systems.
Proceedings of the Structural, 2008

An Inexact Graph Comparison Approach in Joint Eigenspace.
Proceedings of the Structural, 2008

On Euclidean Corrections for Non-Euclidean Dissimilarities.
Proceedings of the Structural, 2008

Variance estimation for two-class and multi-class ROC analysis using operating point averaging.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

On refining dissimilarity matrices for an improved NN learning.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Spectral Characterization of Volcanic Earthquakes at Nevado del Ruiz Volcano Using Spectral Band Selection/Extraction Techniques.
Proceedings of the Progress in Pattern Recognition, 2008

2007
The Science of Pattern Recognition. Achievements and Perspectives.
Proceedings of the Challenges for Computational Intelligence, 2007

Approximating the multiclass ROC by pairwise analysis.
Pattern Recognit. Lett., 2007

Pairwise feature evaluation for constructing reduced representations.
Pattern Anal. Appl., 2007

Kernel Combination Versus Classifier Combination.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Group-Induced Vector Spaces.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Generalizing Dissimilarity Representations Using Feature Lines.
Proceedings of the Progress in Pattern Recognition, 2007

On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers for Appearance-Based Face Recognition.
Proceedings of the Progress in Pattern Recognition, 2007

On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition.
Proceedings of the Advances in Artificial Intelligence, 2007

2006
Building Road-Sign Classifiers Using a Trainable Similarity Measure.
IEEE Trans. Intell. Transp. Syst., 2006

The interaction between classification and reject performance for distance-based reject-option classifiers.
Pattern Recognit. Lett., 2006

Recent submissions in linear dimensionality reduction and face recognition.
Pattern Recognit. Lett., 2006

Prototype selection for dissimilarity-based classifiers.
Pattern Recognit., 2006

Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces.
Pattern Recognit., 2006

A study on design of object sorting algorithms in the industrial application using hyperspectral imaging.
J. Real Time Image Process., 2006

Edge Detection in Hyperspectral Imaging: Multivariate Statistical Approaches.
Proceedings of the Structural, 2006

Outlier Detection Using Ball Descriptions with Adjustable Metric.
Proceedings of the Structural, 2006

Transforming Strings to Vector Spaces Using Prototype Selection.
Proceedings of the Structural, 2006

Effectiveness of Spectral Band Selection/Extraction Techniques for Spectral Data.
Proceedings of the Structural, 2006

Non-Euclidean or Non-metric Measures Can Be Informative.
Proceedings of the Structural, 2006

Combining Accuracy and Prior Sensitivity for Classifier Design Under Prior Uncertainty.
Proceedings of the Structural, 2006

Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces.
Proceedings of the Structural, 2006

Structural Inference of Sensor-Based Measurements.
Proceedings of the Structural, 2006

Learning with General Proximity Measures.
Proceedings of the Pattern Recognition in Information Systems, 2006

Linear model combining by optimizing the Area under the ROC curve.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Dissimilarity-based classification for vectorial representations.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Trainable Similarity Measure for Image Classification.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Precision-recall operating characteristic (P-ROC) curves in imprecise environments.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Domain Based LDA and QDA.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
The Dissimilarity Representation for Pattern Recognition - Foundations and Applications
Series in Machine Perception and Artificial Intelligence 64, WorldScientific, ISBN: 978-981-4479-14-1, 2005

Dimensionality reduction of image features using the canonical contextual correlation projection.
Pattern Recognit., 2005

The Tangent Kernel Approach to Illumination-Robust Texture Classification.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

Improving the Maximum-Likelihood Co-occurrence Classifier: A Study on Classification of Inhomogeneous Rock Images.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

Combining Feature Subsets in Feature Selection.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

On Deriving the Second-Stage Training Set for Trainable Combiners.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

Optimising Two-Stage Recognition Systems.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

Pairwise Selection of Features and Prototypes.
Proceedings of the Computer Recognition Systems, 2005

Learning from a Test Set.
Proceedings of the Computer Recognition Systems, 2005

Open Issues in Pattern Recognition.
Proceedings of the Computer Recognition Systems, 2005

2004
Almost autonomous training of mixtures of principal component analyzers.
Pattern Recognit. Lett., 2004

Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

The MDF discrimination measure: Fisher in disguise.
Neural Networks, 2004

Support Vector Data Description.
Mach. Learn., 2004

A Study On Combining Image Representations For Image Classification And Retrieval.
Int. J. Pattern Recognit. Artif. Intell., 2004

Feature Shaving for Spectroscopic Data.
Proceedings of the Structural, 2004

Selection/Extraction of Spectral Regions for Autofluorescence Spectra Measured in the Oral Cavity.
Proceedings of the Structural, 2004

On Not Making Dissimilarities Euclidean.
Proceedings of the Structural, 2004

Cost-Based Classifier Evaluation for Imbalanced Problems.
Proceedings of the Structural, 2004

Combining Dissimilarity-Based One-Class Classifiers.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Combining One-Class Classifiers to Classify Missing Data.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Selective Sampling Based on the Variation in Label Assignments.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

The Characterization of Classification Problems by Classifier Disagreements.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Dimensionality Reduction by Canonical Contextual Correlation Projections.
Proceedings of the Computer Vision, 2004

2003
Dissimilarity-based classification of spectra: computational issues.
Real Time Imaging, 2003

Limits on the majority vote accuracy in classifier fusion.
Pattern Anal. Appl., 2003

Segmentation of multi-spectral images using the combined classifier approach.
Image Vis. Comput., 2003

Texture Segmentation Using the Mixtures of Principal Component Analyzers.
Proceedings of the Computer and Information Sciences, 2003

Supervised Locally Linear Embedding.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Selective Sampling Methods in One-Class Classification Problems.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Dissimilarity representations allow for building good classifiers.
Pattern Recognit. Lett., 2002

A note on core research issues for statistical pattern recognition.
Pattern Recognit. Lett., 2002

Bagging, Boosting and the Random Subspace Method for Linear Classifiers.
Pattern Anal. Appl., 2002

An experimental study on diversity for bagging and boosting with linear classifiers.
Inf. Fusion, 2002

Blind separation of rotating machine sources: bilinear forms and convolutive mixtures
Neurocomputing, 2002

Texture Description by Independent Components.
Proceedings of the Structural, 2002

Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings.
Proceedings of the Structural, 2002

On Feature Selection with Measurement Cost and Grouped Features.
Proceedings of the Structural, 2002

Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data.
Proceedings of the Structural, 2002

Possibilities of Zero-Error Recognition by Dissimilarity Representations.
Proceedings of the Pattern Recognition in Information Systems, 2002

One-Class LP Classifiers for Dissimilarity Representations.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

A Discussion on the Classifier Projection Space for Classifier Combining.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

On Combining One-Class Classifiers for Image Database Retrieval.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Using Two-Class Classifiers for Multiclass Classification.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

The Economics of Classification: Error vs. Complexity.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Prototype Selection for Finding Efficient Representations of Dissimilarity Data.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Supervised Segmentation of Textures in Backscatter Images.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

The Combining Classifier: To Train or Not to Train?
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Decision templates for multiple classifier fusion: an experimental comparison.
Pattern Recognit., 2001

Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Uniform Object Generation for Optimizing One-class Classifiers.
J. Mach. Learn. Res., 2001

A Generalized Kernel Approach to Dissimilarity-based Classification.
J. Mach. Learn. Res., 2001

Combining One-Class Classifiers.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

Bagging and the Random Subspace Method for Redundant Feature Spaces.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

On Combining Dissimilarity Representations.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

Health Monitoring with Learning Methods.
Proceedings of the Artificial Neural Networks, 2001

2000
k-nearest neighbors directed noise injection in multilayer perceptron training.
IEEE Trans. Neural Networks Learn. Syst., 2000

Combining multiple classifiers by averaging or by multiplying?
Pattern Recognit., 2000

Statistical Pattern Recognition: A Review.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

The Role of Combining Rules in Bagging and Boosting.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

The Adaptive Subspace Map for Image Description and Image Database Retrieval.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

Boosting in Linear Discriminant Analysis.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

Combining Fisher Linear Discriminants for Dissimilarity Representations.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

Experiments with Classifier Combining Rules.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

Data Description in Subspaces.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

The Role of Subclasses in Machine Diagnostics.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

The Adaptive Subspace Map for Texture Segmentation.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Classifiers for Dissimilarity-Based Pattern Recognition.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Is Independence Good For Combining Classifiers?
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Multi-Class Linear Feature Extraction by Nonlinear PCA.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Classifiers in Almost Empty Spaces.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation.
Proceedings of the British Machine Vision Conference 2000, 2000

1999
Support vector domain description.
Pattern Recognit. Lett., 1999

Relational discriminant analysis.
Pattern Recognit. Lett., 1999

Regularisation of Linear Classifiers by Adding Redundant Features.
Pattern Anal. Appl., 1999

The Applicability of Neural Networks to Non-linear Image Processing.
Pattern Anal. Appl., 1999

Pump Failure Detection Using Support Vector Data Descriptions.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

Data domain description using support vectors.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998
Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix.
Pattern Recognit. Lett., 1998

Bagging for linear classifiers.
Pattern Recognit., 1998

On Combining Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Featureless pattern classification.
Kybernetika, 1998

Handwritten digit recognition by combined classifiers.
Kybernetika, 1998

Outlier Detection Using Classifier Instability.
Proceedings of the Advances in Pattern Recognition, 1998

Regularization by Adding Redundant Features.
Proceedings of the Advances in Pattern Recognition, 1998

Classifier Conditional Posterior Probabilities.
Proceedings of the Advances in Pattern Recognition, 1998

Relational discriminant analysis and its large sample size problem.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Neural network initialization by combined classifiers.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

On the Application of Neural Networks to Non-Linear Image Processing Tasks.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Sammon's mapping using neural networks: A comparison.
Pattern Recognit. Lett., 1997

Investigating redundancy in feed-forward neural classifiers.
Pattern Recognit. Lett., 1997

Experiments with a featureless approach to pattern recognition.
Pattern Recognit. Lett., 1997

Novelty Detection Using Self-Organizing Maps.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Neural network experiences between perceptrons and support vectors.
Proceedings of the British Machine Vision Conference 1997, 1997

1996
A note on comparing classifiers.
Pattern Recognit. Lett., 1996

Stabilizing classifiers for very small sample sizes.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Combining classifiers.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

On the nonlinearity of pattern classifiers.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Estimating the Reliability of Neural Network Classifications.
Proceedings of the Artificial Neural Networks, 1996

1995
An Evaluation of Intrinsic Dimensionality Estimators.
IEEE Trans. Pattern Anal. Mach. Intell., 1995

SMD position measurement by a Kohonen network compared with image processing.
Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

1994
Superlearning and neural network magic.
Pattern Recognit. Lett., 1994

The effective capacity of multilayer feedforward network classifiers.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
Initializations, back-propagation and generalization of feed-forward classifiers.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

On the speed of training networks with correlated features.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

Evaluation method for an automatic map interpretation system for cadastral maps.
Proceedings of the 2nd International Conference Document Analysis and Recognition, 1993

1992
Feedforward neural networks with random weights.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1990
An algorithm for benchmarking an SIMD pyramid with the Abingdon Cross.
Pattern Recognit. Lett., 1990

Mapping an N N Image on P Processors.
Proceedings of IAPR Workshop on Machine Vision Applications, 1990

Architectures for Multidimensional Low- and Intermediate Level Image Processing (Invited).
Proceedings of IAPR Workshop on Machine Vision Applications, 1990

1989
Model Based Recognition of 3D Objects From Single 2D Images.
Proceedings of the Intelligent Autonomous Systems 2, 1989

1988
Implementation and Use of Software Scanning on a Small CLIP4 Processor Array.
Proceedings of the Pattern Recognition, 1988

1986
Fast percentile filtering.
Pattern Recognit. Lett., 1986

1984
Spirograph Theory: A Framework for Calculations on Digitized Straight Lines.
IEEE Trans. Pattern Anal. Mach. Intell., 1984

1982
The use of continuous variables for labeling objects.
Pattern Recognit. Lett., 1982

1981
Dealing with a priori knowledge by fuzzy labels.
Pattern Recognit., 1981

1978
On the evaluation of independent binary features (Corresp.).
IEEE Trans. Inf. Theory, 1978

Correction to 'The Mean Recognition performance for Independent Distribution'.
IEEE Trans. Inf. Theory, 1978

The mean recognition performance for independent distributions (Corresp.).
IEEE Trans. Inf. Theory, 1978

1977
Comments on "Independence, Measurement Complexity, and Classification Performance".
IEEE Trans. Syst. Man Cybern., 1977

1976
On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions.
IEEE Trans. Computers, 1976

Computation of Concave Piecewise Linear Discriminant Functions Using Chebyshev Polynomials.
IEEE Trans. Computers, 1976


  Loading...