*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

Last update:21-Jun-21 14:05:31

Use price@usc.edu for comments.