Duin, R.P.W.[Robert P.W.]
Co Author Listing * email: Duin, R.P.W.[Robert P.W.]: r p w duin AT ewi tudelft nl
* Adaptive Subspace Map for Texture Segmentation, The
* Algorithm for Benchmarking an SIMD Pyramid with the Abingdon Cross, An
* Almost autonomous training of mixtures of principal component analyzers
* Applicability of Neural Networks to Non-linear Image Processing, The
* Approximating the multiclass ROC by pairwise analysis
* Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces
* Automated classification of local patches in colon histopathology
* Award winning papers from the 19th International Conference on Pattern Recognition (ICPR)
* Bagging for Linear Classifiers
* Building Road-Sign Classifiers Using a Trainable Similarity Measure
* characterization of classification problems by classifier disagreements, The
* Classification of Volcano Events Observed by Multiple Seismic Stations
* Classification, parameter estimation and state estimation: An engineering approach using Matlab
* Classifiers for Dissimilarity-based Pattern Recognition
* Classifiers in Almost Empty Spaces
* Classifying Three-way Seismic Volcanic Data by Dissimilarity Representation
* Clustering Based Method for Edge Detection in Hyperspectral Images, A
* Clustering-Based Construction of Hidden Markov Models for Generative Kernels
* Combine-Correct-Combine Scheme for Optimizing Dissimilarity-Based Classifiers, A
* Combining Accuracy and Prior Sensitivity for Classifier Design Under Prior Uncertainty
* combining classifier: to train or not to train?, The
* Combining Classifiers
* Combining multi-scale dissimilarities for image classification
* Combining multiple classifiers by averaging or by multiplying?
* Combining Neural Networks for Gait Classification
* Compact Representation of Multiscale Dissimilarity Data by Prototype Selection, A
* Component-Based Discriminative Classification for Hidden Markov Models
* Continuous Multi-way Shape Measure for Dissimilarity Representation
* Data Description in Subspaces
* Dealing with a priori knowledge by fuzzy labels
* Decision templates for multiple classifier fusion: An Experimental Comparison
* Dimensionality Reduction by Canonical Contextual Correlation Projections
* Dimensionality Reduction of Hyperspectral Data via Spectral Feature Extraction
* Dimensionality reduction of image features using the canonical contextual correlation projection
* Dipping Phenomenon, The
* dissimilarity representation for finding universals from particulars by an anti-essentialist approach, The
* Dissimilarity Representation for Structural Pattern Recognition, The
* Dissimilarity representations allow for building good classifiers
* dissimilarity space: Bridging structural and statistical pattern recognition, The
* Dissimilarity-based classification for vectorial representations
* Dissimilarity-based classification of spectra: computational issues
* Dissimilarity-Based Classifications in Eigenspaces
* Dissimilarity-based detection of schizophrenia
* Domain Based LDA and QDA
* economics of classification: error vs. complexity, The
* Edge Detection in Hyperspectral Imaging: Multivariate Statistical Approaches
* effective capacity of multilayer feedforward network classifiers, The
* Effectiveness of Spectral Band Selection/Extraction Techniques for Spectral Data
* Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis
* Evaluation Method for an Automatic Map Interpretation System for Cadastral Maps
* Evaluation of Intrinsic Dimensionality Estimators, An
* Expected Classification Error of the Fisher Linear Classifier with Pseudo Inverse Covariance Matrix
* experimental study of one- and two-level classifier fusion for different sample sizes, An
* Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces
* Experiments with a Featureless Approach to Pattern Recognition
* Fast Approach to Improve Classification Performance of ECOC Classification Systems, A
* Fast Percentile Filtering
* Feature-Based Dissimilarity Space Classification
* Feedforward neural networks with random weights
* FIDOS: A generalized Fisher based feature extraction method for domain shift
* generalization of dissimilarity representations using feature lines and feature planes, A
* Generalizing Dissimilarity Representations Using Feature Lines
* Growing a multi-class classifier with a reject option
* Improving the Maximum-Likelihood Co-occurrence Classifier: A Study on Classification of Inhomogeneous Rock Images
* Inexact Graph Comparison Approach in Joint Eigenspace, An
* Integration of prior knowledge of measurement noise in kernel density classification
* interaction between classification and reject performance for distance-based reject-option classifiers, The
* Interactive Image Processing in an Multiuser Environment
* Investigating Redundancy in Feedforward Neural Classifiers
* Is Independence Good for Combining Classifiers?
* Learning Curves for the Analysis of Multiple Instance Classifiers
* Limits on the Majority Vote Accuracy in Classifier Fusion
* Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion
* Linear model combining by optimizing the Area under the ROC curve
* Maximizing the area under the ROC curve by pairwise feature combination
* Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance
* Missing Values in Dissimilarity-Based Classification of Multi-way Data
* Mode Seeking Clustering by KNN and Mean Shift Evaluated
* Multi-class extensions of the GLDB feature extraction algorithm for spectral data
* Multi-class Linear Feature Extraction by Nonlinear PCA
* multi-classifier for grading knee osteoarthritis using gait analysis, A
* Multi-spectral video endoscopy system for the detection of cancerous tissue
* Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria
* Multiple-instance learning as a classifier combining problem
* Neural network experiences between perceptrons and support vectors
* Neural Network Initialization by Combined Classifiers
* Non-Euclidean or Non-metric Measures Can Be Informative
* Note on Comparing Classifiers, A
* note on core research issues for statistical pattern recognition, A
* On Combining Classifiers
* On Euclidean Corrections for Non-Euclidean Dissimilarities
* On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure
* On refining dissimilarity matrices for an improved NN learning
* On the Nonlinearity of Pattern Classifiers
* On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers for Appearance-Based Face Recognition
* On Using Asymmetry Information for Classification in Extended Dissimilarity Spaces
* Outlier Detection Using Ball Descriptions with Adjustable Metric
* Precision-recall operating characteristic (P-ROC) curves in imprecise environments
* Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation
* Prototype Selection for Dissimilarity Representation by a Genetic Algorithm
* Prototype selection for dissimilarity-based classifiers
* Prototype selection for finding efficient representations of dissimilarity data
* Random Subspace Method in Text Categorization
* Recent submissions in linear dimensionality reduction and face recognition
* Regularisation of Linear Classifiers by Adding Redundant Features
* Relational Discriminant Analysis and its Large Sample Size Problem
* Representation of Chemical Spectral Data for Classification, The
* ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers
* Role of Subclasses in Machine Diagnostics, The
* Sammons Mapping Using Neural Networks: A Comparison
* SEDMI: Saliency based edge detection in multispectral images
* Segmentation of multi-spectral images using a combined classifier approach
* Segmentation of multi-spectral images using the combined classifier approach
* Selective sampling based on the variation in label assignments
* Similarity Between Dissimilarities, The
* SMD position measurement by a Kohonen network compared with image processing
* Spectral Characterization of Volcanic Earthquakes at Nevado del Ruiz Volcano Using Spectral Band Selection/Extraction Techniques
* Spherical and Hyperbolic Embeddings of Data
* Spherical embeddings for non-Euclidean dissimilarities
* Spirograph Theory: A Framework for Calculations on Digitized Straight Lines
* Stabilizing Classifiers for Very Small Sample Sizes
* Statistical Pattern Recognition: A Review
* Structural Inference of Sensor-Based Measurements
* Study on Combining Sets of Differently Measured Dissimilarities, A
* study on design of object sorting algorithms in the industrial application using hyperspectral imaging, A
* Study on Representations for Face Recognition from Thermal Images, A
* study on semi-supervised dissimilarity representation, A
* Subclass Problem-Dependent Design for Error-Correcting Output Codes
* Supervised localization of cell nuclei on TMA images
* Supervised segmentation of textures in backscatter images
* Tangent Kernel Approach to Illumination-Robust Texture Classification, The
* Towards Cluster-Based Prototype Sets for Classification in the Dissimilarity Space
* Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria
* Trainable Similarity Measure for Image Classification, A
* Training data selection for cancer detection in multispectral endoscopy images
* Transforming Strings to Vector Spaces Using Prototype Selection
* Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space
* Using two-class classifiers for multiclass classification
* Variance estimation for two-class and multi-class ROC analysis using operating point averaging
* Weight Set Decorrelating Algorithm for Neural Network Interpretation and Symmetry Breaking, A
Includes: Duin, R.P.W.[Robert P.W.] Duin, R.P.W. Duin, R.P.W.[Robert P. W.]
141 for Duin, R.P.W.
Duina, D.
Co Author Listing * novel visual landmark matching for a biologically inspired homing, A