Duin, R.P.W.
Standard Author Listing
with: Abrishami Moghaddam, H.: Dimensionality Reduction of Hyperspectral Dat...
with: Arnold, T.: Multi-spectral video endoscopy system for the detection of...
with: Atalay, V.: Almost autonomous training of mixtures of principal compon...
with: Bellani, M.: Dissimilarity-based detection of schizophrenia
with: Bezdek, J.C.: Decision templates for multiple classifier fusion: An Ex...
with: Bicego, M.: Clustering-Based Construction of Hidden Markov Models for ...
with: Bicego, M.: Component-Based Discriminative Classification for Hidden M...
with: Bicego, M.: Dissimilarity-based detection of schizophrenia
with: Bicego, M.: Metric Learning in Dissimilarity Space for Improved Neares...
with: Bicego, M.: Unsupervised Parameter Estimation of Non Linear Scaling fo...
with: Brambilla, P.: Dissimilarity-based detection of schizophrenia
with: Bunke, H.: Non-Euclidean or Non-metric Measures Can Be Informative
with: Bunke, H.: On Euclidean Corrections for Non-Euclidean Dissimilarities
with: Bunke, H.: Transforming Strings to Vector Spaces Using Prototype Selec...
with: Castellani, U.: Dissimilarity-based detection of schizophrenia
with: Castellanos Dominguez, C.G.: generalization of dissimilarity represent...
with: Castellanos Dominguez, C.G.: Generalizing Dissimilarity Representation...
with: Cerruti, S.: Dissimilarity-based detection of schizophrenia
with: Cheplygina, V.: Similarity Between Dissimilarities, The
with: Cristani, M.: Clustering-Based Construction of Hidden Markov Models fo...
with: de Biasio, M.: Multi-spectral video endoscopy system for the detection...
with: de Ridder, D.: Adaptive Subspace Map for Texture Segmentation, The
with: de Ridder, D.: Almost autonomous training of mixtures of principal com...
with: de Ridder, D.: Applicability of Neural Networks to Non-linear Image Pr...
with: de Ridder, D.: Classification, parameter estimation and state estimati...
with: de Ridder, D.: economics of classification: error vs. complexity, The
with: de Ridder, D.: Experiments with a Featureless Approach to Pattern Reco...
with: de Ridder, D.: Integration of prior knowledge of measurement noise in ...
with: de Ridder, D.: Neural network experiences between perceptrons and supp...
with: de Ridder, D.: note on core research issues for statistical pattern re...
with: de Ridder, D.: Probabilistic PCA and ICA Subspace Mixture Models for I...
with: de Ridder, D.: Sammons Mapping Using Neural Networks: A Comparison
with: de Ridder, D.: Weight Set Decorrelating Algorithm for Neural Network I...
with: Dinh, C.V.: Clustering Based Method for Edge Detection in Hyperspectra...
with: Dinh, C.V.: FIDOS: A generalized Fisher based feature extraction metho...
with: Dinh, C.V.: Multi-spectral video endoscopy system for the detection of...
with: Dinh, C.V.: SEDMI: Saliency based edge detection in multispectral images
with: Dinh, C.V.: study on semi-supervised dissimilarity representation, A
with: Dinh, C.V.: Training data selection for cancer detection in multispect...
with: Dorst, L.: Spirograph Theory: A Framework for Calculations on Digitize...
with: Escalera, S.: Subclass Problem-Dependent Design for Error-Correcting O...
with: Fred, A.L.N.: Mode Seeking Clustering by KNN and Mean Shift Evaluated
with: Gangeh, M.J.: Random Subspace Method in Text Categorization
with: Garcia Reyes, E.: Compact Representation of Multiscale Dissimilarity D...
with: Garcia Reyes, E.: Prototype Selection for Dissimilarity Representation...
with: Garcia Reyes, E.: Study on Representations for Face Recognition from T...
with: Garcia Reyes, E.: Towards Scalable Prototype Selection by Genetic Algo...
with: Garcia Reyes, E.B.: On Using Asymmetry Information for Classification ...
with: Garcia Reyes, E.B.: Towards Cluster-Based Prototype Sets for Classific...
with: Haeb Umbach, R.: Multi-class Linear Feature Extraction by Nonlinear PCA
with: Haeb Umbach, R.: Multiclass Linear Dimension Reduction by Weighted Pai...
with: Hancock, E.R.: Spherical and Hyperbolic Embeddings of Data
with: Hancock, E.R.: Spherical embeddings for non-Euclidean dissimilarities
with: Haringa, H.: Fast Percentile Filtering
with: Harol, A.: Augmented Embedding of Dissimilarity Data into (Pseudo-)Euc...
with: Harol, A.: Non-Euclidean or Non-metric Measures Can Be Informative
with: Harol, A.: On Euclidean Corrections for Non-Euclidean Dissimilarities
with: Hatef, M.: Combining Classifiers
with: Hatef, M.: On Combining Classifiers
with: Hdez, N.: Representation of Chemical Spectral Data for Classification,...
with: Ho, T.K.: Recent submissions in linear dimensionality reduction and fa...
with: Hoek, E.T.G.: SMD position measurement by a Kohonen network compared w...
with: Hoekstra, A.: Investigating Redundancy in Feedforward Neural Classifiers
with: Hoekstra, A.: On the Nonlinearity of Pattern Classifiers
with: Ibba, A.: Study on Combining Sets of Differently Measured Dissimilarit...
with: Ibba, A.: Supervised localization of cell nuclei on TMA images
with: Jain, A.K.: Statistical Pattern Recognition: A Review
with: Janssen, R.D.T.: Evaluation Method for an Automatic Map Interpretation...
with: Juszczak, P.: Domain Based LDA and QDA
with: Juszczak, P.: Outlier Detection Using Ball Descriptions with Adjustabl...
with: Juszczak, P.: Selective sampling based on the variation in label assig...
with: Kalkan, H.: Automated classification of local patches in colon histopa...
with: Kamel, M.S.: Random Subspace Method in Text Categorization
with: Kim, S.W.: Combine-Correct-Combine Scheme for Optimizing Dissimilarity...
with: Kim, S.W.: Dissimilarity-Based Classifications in Eigenspaces
with: Kim, S.W.: Metric Learning in Dissimilarity Space for Improved Nearest...
with: Kim, S.W.: On Improving Dissimilarity-Based Classifications Using a St...
with: Kim, S.W.: On Using a Pre-clustering Technique to Optimize LDA-Based C...
with: Kittler, J.V.: Adaptive Subspace Map for Texture Segmentation, The
with: Kittler, J.V.: Combining Classifiers
with: Kittler, J.V.: Combining multiple classifiers by averaging or by multi...
with: Kittler, J.V.: On Combining Classifiers
with: Kittler, J.V.: Probabilistic PCA and ICA Subspace Mixture Models for I...
with: Kohlus, R.: Segmentation of multi-spectral images using the combined c...
with: Kohlus, R.: Supervised segmentation of textures in backscatter images
with: Koktas, N.S.: Combining Neural Networks for Gait Classification
with: Koktas, N.S.: multi-classifier for grading knee osteoarthritis using g...
with: Kraaijveld, M.A.: effective capacity of multilayer feedforward network...
with: Kraaijveld, M.A.: Feedforward neural networks with random weights
with: Kuncheva, L.I.: Decision templates for multiple classifier fusion: An ...
with: Kuncheva, L.I.: Is Independence Good for Combining Classifiers?
with: Kuncheva, L.I.: Limits on the Majority Vote Accuracy in Classifier Fus...
with: Lai, C.: ROC Analysis and Cost-Sensitive Optimization for Hierarchical...
with: Lai, C.: Variance estimation for two-class and multi-class ROC analysi...
with: Landgrebe, T.C.W.: Approximating the multiclass ROC by pairwise analysis
with: Landgrebe, T.C.W.: Combining Accuracy and Prior Sensitivity for Classi...
with: Landgrebe, T.C.W.: Efficient Multiclass ROC Approximation by Decomposi...
with: Landgrebe, T.C.W.: interaction between classification and reject perfo...
with: Landgrebe, T.C.W.: Precision-recall operating characteristic (P-ROC) c...
with: Landgrebe, T.C.W.: ROC Analysis and Cost-Sensitive Optimization for Hi...
with: Laurendeau, D.: Award winning papers from the 19th International Confe...
with: Lee, W.J.: Inexact Graph Comparison Approach in Joint Eigenspace, An
with: Lee, W.J.: On Euclidean Corrections for Non-Euclidean Dissimilarities
with: Lee, W.J.: Study on Combining Sets of Differently Measured Dissimilari...
with: Leitner, R.: Clustering Based Method for Edge Detection in Hyperspectr...
with: Leitner, R.: Multi-spectral video endoscopy system for the detection o...
with: Leitner, R.: SEDMI: Saliency based edge detection in multispectral ima...
with: Leitner, R.: study on design of object sorting algorithms in the indus...
with: Leitner, R.: Training data selection for cancer detection in multispec...
with: Lemmers, O.: Adaptive Subspace Map for Texture Segmentation, The
with: Li, Y.: Combining multi-scale dissimilarities for image classification
with: Li, Y.: Compact Representation of Multiscale Dissimilarity Data by Pro...
with: Li, Y.: Multiple-instance learning as a classifier combining problem
with: Li, Y.L.: Integration of prior knowledge of measurement noise in kerne...
with: Londono Bonilla, J.M.: Classification of Volcano Events Observed by Mu...
with: Londono Bonilla, J.M.: Classifying Three-way Seismic Volcanic Data by ...
with: Loog, M.: Automated classification of local patches in colon histopath...
with: Loog, M.: Clustering Based Method for Edge Detection in Hyperspectral ...
with: Loog, M.: Combining multi-scale dissimilarities for image classification
with: Loog, M.: Compact Representation of Multiscale Dissimilarity Data by P...
with: Loog, M.: Dimensionality Reduction by Canonical Contextual Correlation...
with: Loog, M.: Dimensionality reduction of image features using the canonic...
with: Loog, M.: Dipping Phenomenon, The
with: Loog, M.: Dissimilarity-based detection of schizophrenia
with: Loog, M.: Feature-Based Dissimilarity Space Classification
with: Loog, M.: FIDOS: A generalized Fisher based feature extraction method ...
with: Loog, M.: Linear Dimensionality Reduction via a Heteroscedastic Extens...
with: Loog, M.: Metric Learning in Dissimilarity Space for Improved Nearest ...
with: Loog, M.: Mode Seeking Clustering by KNN and Mean Shift Evaluated
with: Loog, M.: Multi-class Linear Feature Extraction by Nonlinear PCA
with: Loog, M.: Multi-spectral video endoscopy system for the detection of c...
with: Loog, M.: Multiclass Linear Dimension Reduction by Weighted Pairwise F...
with: Loog, M.: Multiple-instance learning as a classifier combining problem
with: Loog, M.: Recent submissions in linear dimensionality reduction and fa...
with: Loog, M.: SEDMI: Saliency based edge detection in multispectral images
with: Loog, M.: study on semi-supervised dissimilarity representation, A
with: Loog, M.: Supervised localization of cell nuclei on TMA images
with: Loog, M.: Training data selection for cancer detection in multispectra...
with: Lovell, B.C.: Award winning papers from the 19th International Confere...
with: Lozano, M.: Experimental study on prototype optimisation algorithms fo...
with: Mao, J.: Statistical Pattern Recognition: A Review
with: Marrocco, C.: Maximizing the area under the ROC curve by pairwise feat...
with: Martinez Sotoca, J.: Experimental study on prototype optimisation algo...
with: Matas, J.G.: On Combining Classifiers
with: Mendez Vazquez, H.: Study on Representations for Face Recognition from...
with: Mendez Vazquez, H.: Towards Scalable Prototype Selection by Genetic Al...
with: Mirtuono, P.: Dissimilarity-based detection of schizophrenia
with: Mojaradi, B.: Dimensionality Reduction of Hyperspectral Data via Spect...
with: Murino, V.: Clustering-Based Construction of Hidden Markov Models for ...
with: Murino, V.: Dissimilarity-based detection of schizophrenia
with: Musa, M.E.M.: Almost autonomous training of mixtures of principal comp...
with: Nap, M.: Automated classification of local patches in colon histopatho...
with: Neuhaus, M.: Transforming Strings to Vector Spaces Using Prototype Sel...
with: Novovicova, J.: Building Road-Sign Classifiers Using a Trainable Simil...
with: Novovicova, J.: Trainable Similarity Measure for Image Classification, A
with: Novovicova, J.: Variance estimation for two-class and multi-class ROC ...
with: Orozco Alzate, M.: Classification of Volcano Events Observed by Multip...
with: Orozco Alzate, M.: Classifying Three-way Seismic Volcanic Data by Diss...
with: Orozco Alzate, M.: Compact Representation of Multiscale Dissimilarity ...
with: Orozco Alzate, M.: Continuous Multi-way Shape Measure for Dissimilarit...
with: Orozco Alzate, M.: generalization of dissimilarity representations usi...
with: Orozco Alzate, M.: Generalizing Dissimilarity Representations Using Fe...
with: Orozco Alzate, M.: Metric Learning in Dissimilarity Space for Improved...
with: Orozco Alzate, M.: On Using Asymmetry Information for Classification i...
with: Orozco Alzate, M.: Prototype Selection for Dissimilarity Representatio...
with: Orozco Alzate, M.: Spectral Characterization of Volcanic Earthquakes a...
with: Orozco Alzate, M.: Towards Cluster-Based Prototype Sets for Classifica...
with: Orozco Alzate, M.: Towards Scalable Prototype Selection by Genetic Alg...
with: Orozco Alzate, M.: Unsupervised Parameter Estimation of Non Linear Sca...
with: Paclik, P.: Building Road-Sign Classifiers Using a Trainable Similarit...
with: Paclik, P.: Clustering Based Method for Edge Detection in Hyperspectra...
with: Paclik, P.: Dissimilarity-based classification of spectra: computation...
with: Paclik, P.: Edge Detection in Hyperspectral Imaging: Multivariate Stat...
with: Paclik, P.: Effectiveness of Spectral Band Selection/Extraction Techni...
with: Paclik, P.: Improving the Maximum-Likelihood Co-occurrence Classifier:...
with: Paclik, P.: interaction between classification and reject performance ...
with: Paclik, P.: Multi-class extensions of the GLDB feature extraction algo...
with: Paclik, P.: Precision-recall operating characteristic (P-ROC) curves i...
with: Paclik, P.: Prototype selection for dissimilarity-based classifiers
with: Paclik, P.: ROC Analysis and Cost-Sensitive Optimization for Hierarchi...
with: Paclik, P.: SEDMI: Saliency based edge detection in multispectral images
with: Paclik, P.: Segmentation of multi-spectral images using a combined cla...
with: Paclik, P.: Segmentation of multi-spectral images using the combined c...
with: Paclik, P.: study on design of object sorting algorithms in the indust...
with: Paclik, P.: Supervised segmentation of textures in backscatter images
with: Paclik, P.: Tangent Kernel Approach to Illumination-Robust Texture Cla...
with: Paclik, P.: Trainable Similarity Measure for Image Classification, A
with: Paclik, P.: Variance estimation for two-class and multi-class ROC anal...
with: Peckalska, E.: Component-Based Discriminative Classification for Hidde...
with: Pekalska, E.: Augmented Embedding of Dissimilarity Data into (Pseudo-)...
with: Pekalska, E.: characterization of classification problems by classifie...
with: Pekalska, E.: Classifiers for Dissimilarity-based Pattern Recognition
with: Pekalska, E.: Clustering-Based Construction of Hidden Markov Models fo...
with: Pekalska, E.: Dissimilarity representations allow for building good cl...
with: Pekalska, E.: dissimilarity space: Bridging structural and statistical...
with: Pekalska, E.: Dissimilarity-based classification for vectorial represe...
with: Pekalska, E.: economics of classification: error vs. complexity, The
with: Pekalska, E.: Experimental study on prototype optimisation algorithms ...
with: Pekalska, E.: Mode Seeking Clustering by KNN and Mean Shift Evaluated
with: Pekalska, E.: Non-Euclidean or Non-metric Measures Can Be Informative
with: Pekalska, E.: On Euclidean Corrections for Non-Euclidean Dissimilarities
with: Pekalska, E.: On refining dissimilarity matrices for an improved NN le...
with: Pekalska, E.: Outlier Detection Using Ball Descriptions with Adjustabl...
with: Pekalska, E.: Prototype selection for dissimilarity-based classifiers
with: Pekalska, E.: Prototype selection for finding efficient representation...
with: Pekalska, E.: Spherical and Hyperbolic Embeddings of Data
with: Pekalska, E.: Spherical embeddings for non-Euclidean dissimilarities
with: Pekalska, E.: Structural Inference of Sensor-Based Measurements
with: Pekalska, E.: Transforming Strings to Vector Spaces Using Prototype Se...
with: Pekkalska, E.: Dissimilarity Representation for Structural Pattern Rec...
with: Pelkalska, E.: Feature-Based Dissimilarity Space Classification
with: Piqueras Salazar, I.: FIDOS: A generalized Fisher based feature extrac...
with: Pla, F.: Experimental study on prototype optimisation algorithms for p...
with: Plasencia Calana, Y.: Compact Representation of Multiscale Dissimilari...
with: Plasencia Calana, Y.: On Using Asymmetry Information for Classificatio...
with: Plasencia Calana, Y.: Prototype Selection for Dissimilarity Representa...
with: Plasencia Calana, Y.: Towards Cluster-Based Prototype Sets for Classif...
with: Plasencia Calana, Y.: Towards Scalable Prototype Selection by Genetic ...
with: Plasencia, Y.: Study on Representations for Face Recognition from Ther...
with: Porro Munoz, D.: Classifying Three-way Seismic Volcanic Data by Dissim...
with: Porro Munoz, D.: Continuous Multi-way Shape Measure for Dissimilarity ...
with: Porro Munoz, D.: Missing Values in Dissimilarity-Based Classification ...
with: Porro, D.: Representation of Chemical Spectral Data for Classification...
with: Pujol, O.: Subclass Problem-Dependent Design for Error-Correcting Outp...
with: Radeva, P.I.: Subclass Problem-Dependent Design for Error-Correcting O...
with: Rajadell, O.: Training data selection for cancer detection in multispe...
with: Raudys, S.J.: Expected Classification Error of the Fisher Linear Class...
with: Reinders, M.J.T.: Integration of prior knowledge of measurement noise ...
with: Roli, F.: note on core research issues for statistical pattern recogni...
with: Salvador Sanchez, J.: Experimental study on prototype optimisation alg...
with: San Martin, C.: Study on Representations for Face Recognition from The...
with: Schmidt, W.F.: Feedforward neural networks with random weights
with: Shipp, C.A.: Is Independence Good for Combining Classifiers?
with: Shipp, C.A.: Limits on the Majority Vote Accuracy in Classifier Fusion
with: Simeone, P.: Fast Approach to Improve Classification Performance of EC...
with: Skurichina, M.: Bagging for Linear Classifiers
with: Skurichina, M.: Effectiveness of Spectral Band Selection/Extraction Te...
with: Skurichina, M.: Regularisation of Linear Classifiers by Adding Redunda...
with: Skurichina, M.: Role of Subclasses in Machine Diagnostics, The
with: Skurichina, M.: Spectral Characterization of Volcanic Earthquakes at N...
with: Skurichina, M.: Stabilizing Classifiers for Very Small Sample Sizes
with: Soto, C.: Study on Representations for Face Recognition from Thermal I...
with: Spillmann, B.: Non-Euclidean or Non-metric Measures Can Be Informative
with: Spillmann, B.: Transforming Strings to Vector Spaces Using Prototype S...
with: Talavera Bustamante, I.: Continuous Multi-way Shape Measure for Dissim...
with: Talavera, I.: Classifying Three-way Seismic Volcanic Data by Dissimila...
with: Talavera, I.: Missing Values in Dissimilarity-Based Classification of ...
with: Talavera, I.: Representation of Chemical Spectral Data for Classificat...
with: Tansella, M.: Dissimilarity-based detection of schizophrenia
with: Tax, a.D.M.J.: Classification, parameter estimation and state estimati...
with: Tax, D.M.J.: characterization of classification problems by classifier...
with: Tax, D.M.J.: Combining multiple classifiers by averaging or by multipl...
with: Tax, D.M.J.: Component-Based Discriminative Classification for Hidden ...
with: Tax, D.M.J.: Data Description in Subspaces
with: Tax, D.M.J.: Domain Based LDA and QDA
with: Tax, D.M.J.: Experiments with a Featureless Approach to Pattern Recogn...
with: Tax, D.M.J.: Fast Approach to Improve Classification Performance of EC...
with: Tax, D.M.J.: Feature-Based Dissimilarity Space Classification
with: Tax, D.M.J.: Growing a multi-class classifier with a reject option
with: Tax, D.M.J.: interaction between classification and reject performance...
with: Tax, D.M.J.: Learning Curves for the Analysis of Multiple Instance Cla...
with: Tax, D.M.J.: Linear model combining by optimizing the Area under the R...
with: Tax, D.M.J.: Multiple-instance learning as a classifier combining prob...
with: Tax, D.M.J.: Outlier Detection Using Ball Descriptions with Adjustable...
with: Tax, D.M.J.: Similarity Between Dissimilarities, The
with: Tax, D.M.J.: Subclass Problem-Dependent Design for Error-Correcting Ou...
with: Tax, D.M.J.: Using two-class classifiers for multiclass classification
with: Teeuw, W.B.: Algorithm for Benchmarking an SIMD Pyramid with the Abing...
with: toe Water, F.T.B.: Dealing with a priori knowledge by fuzzy labels
with: Tortorella, F.: Fast Approach to Improve Classification Performance of...
with: Tortorella, F.: Maximizing the area under the ROC curve by pairwise fe...
with: Ulas, A.: Dissimilarity-based detection of schizophrenia
with: Valadan Zoej, M.J.: Dimensionality Reduction of Hyperspectral Data via...
with: van Breukelen, M.: Combining multiple classifiers by averaging or by m...
with: van Breukelen, M.: Neural Network Initialization by Combined Classifiers
with: van de Poll, J.: Similarity Between Dissimilarities, The
with: van der Heijden, F.: Classification, parameter estimation and state es...
with: van Ginneken, B.: Dimensionality Reduction by Canonical Contextual Cor...
with: van Ginneken, B.: Dimensionality reduction of image features using the...
with: van Kempen, G.M.P.: Segmentation of multi-spectral images using a comb...
with: van Kempen, G.M.P.: Segmentation of multi-spectral images using the co...
with: van Kempen, G.M.P.: Supervised segmentation of textures in backscatter...
with: van Vliet, L.J.: Applicability of Neural Networks to Non-linear Image ...
with: van Vliet, L.J.: Weight Set Decorrelating Algorithm for Neural Network...
with: Verbeek, P.W.: Applicability of Neural Networks to Non-linear Image Pr...
with: Verbeek, P.W.: Weight Set Decorrelating Algorithm for Neural Network I...
with: Verveer, P.J.: Evaluation of Intrinsic Dimensionality Estimators, An
with: Verzakov, S.: Augmented Embedding of Dissimilarity Data into (Pseudo-)...
with: Verzakov, S.: Domain Based LDA and QDA
with: Verzakov, S.: Edge Detection in Hyperspectral Imaging: Multivariate St...
with: Verzakov, S.: Effectiveness of Spectral Band Selection/Extraction Tech...
with: Verzakov, S.: Improving the Maximum-Likelihood Co-occurrence Classifie...
with: Verzakov, S.: Multi-class extensions of the GLDB feature extraction al...
with: Verzakov, S.: Tangent Kernel Approach to Illumination-Robust Texture C...
with: Vossepoel, M.: Evaluation Method for an Automatic Map Interpretation S...
with: Whitaker, C.J.: Is Independence Good for Combining Classifiers?
with: Whitaker, C.J.: Limits on the Majority Vote Accuracy in Classifier Fus...
with: Wilson, R.C.: Spherical and Hyperbolic Embeddings of Data
with: Wilson, R.C.: Spherical embeddings for non-Euclidean dissimilarities
with: Yalabik, N.: Combining Neural Networks for Gait Classification
with: Yalabik, N.: multi-classifier for grading knee osteoarthritis using ga...
with: Yavuzer, G.: Combining Neural Networks for Gait Classification
with: Yavuzer, G.: multi-classifier for grading knee osteoarthritis using ga...
with: Ypma, A.: Role of Subclasses in Machine Diagnostics, The
with: Zeelen, R.: Fast Percentile Filtering
with: Zhang, C.X.: experimental study of one- and two-level classifier fusio...
306 for Duin, R.P.W.
Duina, D.
Standard Author Listing
with: Cassinis, R.: novel visual landmark matching for a biologically inspir...
with: Inelli, S.: novel visual landmark matching for a biologically inspired...
with: Rizzi, A.: novel visual landmark matching for a biologically inspired ...