David M. J. Tax

发表

Bram van Ginneken, Yulia Arzhaeva, David M. J. Tax, 2009, Pattern Recognit..

Attended End-to-End Architecture for Age Estimation From Facial Expression Videos

Hamdi Dibeklioglu, David M. J. Tax, Wenjie Pei, 2020, IEEE Transactions on Image Processing.

Semi-supervised rail defect detection from imbalanced image data

David M. J. Tax, Siamak Hajizadeh, Alfredo Núñez, 2016 .

Single- vs. multiple-instance classification

Ethem Alpaydin, Marco Loog, David M. J. Tax, 2015, Pattern Recognit..

Support Vector Data Description

Robert P. W. Duin, David M. J. Tax, D. Tax, 2004, Machine Learning.

Survey on the attention based RNN model and its applications in computer vision pdf

Feng Wang, David M. J. Tax, D. Tax, 2016, ArXiv.

A weighted nearest mean classifier for sparse subspaces

Cor J. Veenman, David M. J. Tax, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Classification of COPD with Multiple Instance Learning

Lauge Sørensen, Marleen de Bruijne, David M. J. Tax, 2014, 2014 22nd International Conference on Pattern Recognition.

Classifier Conditional Posterior Probabilities

Robert P. W. Duin, David M. J. Tax, D. Tax, 1998, SSPR/SPR.

Maximum Membership Scale Selection

Marco Loog, David M. J. Tax, Yan Li, 2009, MCS.

Label Stability in Multiple Instance Learning

Lauge Sørensen, Marleen de Bruijne, David M. J. Tax, 2015, MICCAI.

Minimum spanning tree based one-class classifier

Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax, 2009, Neurocomputing.

Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiographs

Bram van Ginneken, Yulia Arzhaeva, David M. J. Tax, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Data description in subspaces

Robert P. W. Duin, David M. J. Tax, D. Tax, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Subclass Problem-Dependent Design for Error-Correcting Output Codes

Sergio Escalera, Petia Radeva, Robert P. W. Duin, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Marco Loog, David M. J. Tax, Veronika Cheplygina, 2014, IEEE Transactions on Neural Networks and Learning Systems.

A consistency-based model selection for one-class classification

Klaus-Robert Müller, David M. J. Tax, K. Müller, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Kernel Whitening for One-Class Classification

David M. J. Tax, Piotr Juszczak, 2003, Int. J. Pattern Recognit. Artif. Intell..

The Effect of Aggregating Subtype Performances Depends Strongly on the Performance Measure Used

Marcel J. T. Reinders, David M. J. Tax, Herman M. J. Sontrop, 2014, 2014 22nd International Conference on Pattern Recognition.

Evaluating Classification Performance with only Positive and Unlabeled Samples

David M. J. Tax, Siamak Hajizadeh, Zili Li, 2014, S+SSPR.

Beyond Condition-Monitoring: Comparing Diagnostic Events with Word Sequence Kernel for Train Delay Prediction

Wan-Jui Lee, David M. J. Tax, Bob Duin, 2016 .

The Detection of Concept Frames Using Clustering Multi-instance Learning

Maja Pantic, Michel F. Valstar, David M. J. Tax, 2010, 2010 20th International Conference on Pattern Recognition.

Temporal Attention-Gated Model for Robust Sequence Classification

Louis-Philippe Morency, David M. J. Tax, Wenjie Pei, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Component-based discriminative classification for hidden Markov models

Robert P. W. Duin, Manuele Bicego, Elzbieta Pekalska, 2009, Pattern Recognit..

Wan-Jui Lee, Robert P. W. Duin, Marco Loog, 2011, SIMBAD.

Parameter Estimation and State Estimation: An Engineering Approach using MATLAB

Robert P. W. Duin, Ferdinand van der Heijden, David M. J. Tax, 2004 .

Manuele Bicego, David M. J. Tax, Pietro Lovato, 2019, Pattern Recognit. Lett..

Bridging Structure and Feature Representations in Graph Matching

Wan-Jui Lee, Robert P. W. Duin, Marco Loog, 2012, Int. J. Pattern Recognit. Artif. Intell..

Linear model combining by optimizing the Area under the ROC curve

Robert P. W. Duin, David M. J. Tax, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

LESS: a model-based classifier for sparse subspaces

Cor J. Veenman, David M. J. Tax, C. Veenman, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Pump Failure Detection Using Support Vector Data Descriptions

Robert P. W. Duin, David M. J. Tax, Alexander Ypma, 1999, IDA.

Support vector domain description

Robert P. W. Duin, David M. J. Tax, D. Tax, 1999, Pattern Recognit. Lett..

Detection and Classification

Robert P. W. Duin, David M. J. Tax, F. van der Heijden, 2005 .

Qualitative Evaluation of Detection and Tracking Performance

François Brémond, David M. J. Tax, Swaminathan Sankaranarayanan, 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.

Unsupervised Learning of Sequence Representations by Autoencoders pdf

David M. J. Tax, Wenjie Pei, D. Tax, 2018, ArXiv.

Real-time estimation of surgical procedure duration

Jenny Dankelman, David M. J. Tax, John van den Dobbelsteen, 2015, 2015 17th International Conference on E-health Networking, Application & Services (HealthCom).

Multi-class Classification in Image Analysis via Error-Correcting Output Codes

Sergio Escalera, Petia Radeva, Robert P. W. Duin, 2011 .

Wan-Jui Lee, Lauge Sørensen, Robert P. W. Duin, 2010, SSPR/SPR.

Online SVM learning: from classification to data description and back

David M. J. Tax, Pavel Laskov, D. Tax, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Using two-class classifiers for multiclass classification

Robert P. W. Duin, David M. J. Tax, D. Tax, 2002, Object recognition supported by user interaction for service robots.

From outliers to prototypes: Ordering data

Klaus-Robert Müller, David M. J. Tax, Stefan Harmeling, 2006, Neurocomputing.

Learning Structure with Many-Take-All Networks

Hilbert J. Kappen, David M. J. Tax, 1996, ICANN.

Domain Based LDA and QDA

Robert P. W. Duin, Serguei Verzakov, David M. J. Tax, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Boosted negative sampling by quadratically constrained entropy maximization

David Mimno, David M. J. Tax, Taygun Kekeç, 2019, Pattern Recognit. Lett..

Multiple instance learning with bag dissimilarities pdf

Marco Loog, David M. J. Tax, Veronika Cheplygina, 2013, Pattern Recognit..

Outliers and data descriptions

Robert P. W. Duin, David M. J. Tax, D. Tax, 2001 .

Cost-Based Classifier Evaluation for Imbalanced Problems

Robert P. W. Duin, Serguei Verzakov, Pavel Paclík, 2004, SSPR/SPR.

A structure-based video representation for web video categorization

Peng Xu, Alan Hanjalic, David M. J. Tax, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Multiple-instance learning as a classifier combining problem

Robert P. W. Duin, Marco Loog, David M. J. Tax, 2013, Pattern Recognit..

Growing a multi-class classifier with a reject option

Robert P. W. Duin, David M. J. Tax, D. Tax, 2008, Pattern Recognit. Lett..

Experiments with a featureless approach to pattern recognition

Robert P. W. Duin, David M. J. Tax, Dick de Ridder, 1997, Pattern Recognit. Lett..

On classification with bags, groups and sets pdf

Marco Loog, David M. J. Tax, Veronika Cheplygina, 2014, Pattern Recognit. Lett..

STATISTICAL PATTERN RECOGNITION

Robert P. W. Duin, David M. J. Tax, D. Tax, 2005 .

Class-Dependent Dissimilarity Measures for Multiple Instance Learning

Marco Loog, David M. J. Tax, Veronika Cheplygina, 2012, SSPR/SPR.

Improving computer-aided diagnosis of interstitial disease in chest radiographs by combining one-class and two-class classifiers

Bram van Ginneken, Yulia Arzhaeva, David M. J. Tax, 2006, SPIE Medical Imaging.

The Similarity Between Dissimilarities

Robert P. W. Duin, David M. J. Tax, Veronika Cheplygina, 2016, S+SSPR.

Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB, 2nd Edition

Bangjun Lei, Ferdinand van der Heijden, David M. J. Tax, 2017 .

Optimal Mean-Precision Classifier

Robert P. W. Duin, Marco Loog, David M. J. Tax, 2009, MCS.

Supervised Scale-Invariant Segmentation (and Detection)

Marco Loog, David M. J. Tax, Yan Li, 2011, SSVM.

TUD-MM at MediaEval 2011 Genre Tagging Task: Video search reranking for genre tagging

Peng Xu, Alan Hanjalic, David M. J. Tax, 2011, MediaEval.

One-Class LP Classifiers for Dissimilarity Representations

Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax, 2002, NIPS.

Uniform Object Generation for Optimizing One-class Classifiers

Robert P. W. Duin, David M. J. Tax, D. Tax, 2002, J. Mach. Learn. Res..

Combining One-Class Classifiers

Robert P. W. Duin, David M. J. Tax, D. Tax, 2001, Multiple Classifier Systems.

Visual Object Recognition Through One-Class Learning

Luís Seabra Lopes, David M. J. Tax, QingHua Wang, 2004, ICIAR.

Topics Selected from Functional Analysis

Bangjun Lei, Ferdinand van der Heijden, David M. J. Tax, 2017 .

Turning the hyperparameter of an AUC-optimized classifier

Cor J. Veenman, David M. J. Tax, 2005, BNAIC.

Does one rotten apple spoil the whole barrel?

Marco Loog, David M. J. Tax, Veronika Cheplygina, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Combining Instance Information to Classify Bags

Marco Loog, David M. J. Tax, Veronika Cheplygina, 2013, MCS.

A Matlab Toolbox for Pattern Recognition

Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax, 2004 .

Outlier Detection Using Ball Descriptions with Adjustable Metric

Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax, 2006, SSPR/SPR.

Feature Extraction for One-Class Classification

Klaus-Robert Müller, David M. J. Tax, K. Müller, 2003, ICANN.

Appendix D: Discrete‐Time Dynamic Systems

Robert P. W. Duin, David M. J. Tax, D. de Ridder, 2005 .

Characterizing Multiple Instance Datasets

David M. J. Tax, Veronika Cheplygina, 2015, SIMBAD.

Modeling Time Series Similarity with Siamese Recurrent Networks pdf

Laurens van der Maaten, David M. J. Tax, Wenjie Pei, 2016, ArXiv.

On the Informativeness of Asymmetric Dissimilarities (abstract)

Robert P. W. Duin, David M. J. Tax, Veronika Cheplygina, 2013, BNAIC 2013.

‘It is Time to Prepare the Next patient’ Real-Time Prediction of Procedure Duration in Laparoscopic Cholecystectomies

Jenny Dankelman, David M. J. Tax, John van den Dobbelsteen, 2016, Journal of Medical Systems.

PAWE: Polysemy Aware Word Embeddings

Laurens van der Maaten, David M. J. Tax, Taygun Kekeç, 2018, ICISDM '18.

Combining multiple classifiers by averaging or by multiplying?

Josef Kittler, Robert P. W. Duin, David M. J. Tax, 2000, Pattern Recognit..

Optimising Two-Stage Recognition Systems

Robert P. W. Duin, Pavel Paclík, David M. J. Tax, 2005, Multiple Classifier Systems.

One-class and Multi-class classier combining for ill-dened problems

Robert P. W. Duin, David M. J. Tax, Colin M. Andrew, 2004 .

One-class classification

David M. J. Tax, D. Tax, 2001 .

Robust machine fault detection with independent component analysis and support vector data description

Robert P. W. Duin, David M. J. Tax, Alexander Ypma, 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).

Feature-Based Dissimilarity Space Classification

Robert P. W. Duin, Elzbieta Pekalska, Marco Loog, 2010, ICPR Contests.

Featureless pattern classification

Robert P. W. Duin, David M. J. Tax, Dick de Ridder, 1998, Kybernetika.

Quantile Representation for Indirect Immunofluorescence Image Classification pdf

Marco Loog, David M. J. Tax, Veronika Cheplygina, 2014, ArXiv.

Outlier Detection Using Classifier Instability

Robert P. W. Duin, David M. J. Tax, D. Tax, 1998, SSPR/SPR.

Regularizing AdaBoost with validation sets of increasing size

David M. J. Tax, Dirk W. J. Meijer, D. Tax, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model

David M. J. Tax, Wenjie Pei, Laurens van der Maaten, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Data domain description using support vectors

Robert P. W. Duin, David M. J. Tax, D. Tax, 1999, ESANN.

Worked out Examples

Robert P. W. Duin, David M. J. Tax, D. de Ridder, 2005 .

Appendix F: MATLAB Toolboxes Used

Robert P. W. Duin, David M. J. Tax, F. van der Heijden, 2005 .

Novelty detection and multi-class classification in power distribution voltage waveforms

David M. J. Tax, Vitor Hugo Ferreira, Hugo Vieira Neto, 2016, Expert Syst. Appl..

A Fast Approach to Improve Classification Performance of ECOC Classification Systems

Robert P. W. Duin, Francesco Tortorella, David M. J. Tax, 2008, SSPR/SPR.

Scale selection for supervised image segmentation

Marco Loog, David M. J. Tax, Yan Li, 2012, Image Vis. Comput..

Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder

Marco Loog, David M. J. Tax, Veronika Cheplygina, 2014, MLMI.

On Deriving the Second-Stage Training Set for Trainable Combiners

Robert P. W. Duin, Pavel Paclík, David M. J. Tax, 2005, Multiple Classifier Systems.

Robust Gram Embeddings

David M. J. Tax, Taygun Kekeç, D. Tax, 2016, EMNLP.

Handwritten digit recognition by combined classifiers

Robert P. W. Duin, David M. J. Tax, J. E. den Hartog, 1998, Kybernetika.

Pruned Random Subspace Method for One-Class Classifiers

David M. J. Tax, Veronika Cheplygina, D. Tax, 2011, MCS.

Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning

Manuele Bicego, Marco Loog, David M. J. Tax, 2018, S+SSPR.

An Adaptive Radial Basis Function Kernel for Support Vector Data Description

David M. J. Tax, André Eugênio Lazzaretti, D. Tax, 2015, SIMBAD.

Class-dependent, non-convex losses to optimize precision

Feng Wang, David M. J. Tax, D. Tax, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Comparison Between Product and Mean Classi er Combination Rules

Robert P. W. Duin, David M. J. Tax, Martijn van Breukelen, 2009 .

On Combining One-Class Classifiers for Image Database Retrieval

Robert P. W. Duin, Pavel Paclík, Elzbieta Pekalska, 2002, Multiple Classifier Systems.

Learning Curves for the Analysis of Multiple Instance Classifiers

Robert P. W. Duin, David M. J. Tax, D. Tax, 2008, SSPR/SPR.

Kernel Whitening for One-Class Classification

David M. J. Tax, Piotr Juszczak, D. Tax, 2002, Int. J. Pattern Recognit. Artif. Intell..

Interacting Attention-gated Recurrent Networks for Recommendation

Alessandro Bozzon, Jie Zhang, David M. J. Tax, 2017, CIKM.

A Study On Combining Image Representations For Image Classification And Retrieval

Robert P. W. Duin, Pavel Paclík, Elzbieta Pekalska, 2004, Int. J. Pattern Recognit. Artif. Intell..

Question Classification by Weighted Combination of Lexical, Syntactic and Semantic Features

Pascal Wiggers, David M. J. Tax, Babak Loni, 2011, TSD.

The interaction between classification and reject performance for distance-based reject-option classifiers

Robert P. W. Duin, Pavel Paclík, David M. J. Tax, 2006, Pattern Recognit. Lett..

Appendix A: Topics Selected from Functional Analysis

Robert P. W. Duin, David M. J. Tax, F. van der Heijden, 2005 .

The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples

Robert P. W. Duin, Marco Loog, David M. J. Tax, 2013, MCS.

The characterization of classification problems by classifier disagreements

Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Feature Extraction and Selection

Robert P. W. Duin, David M. J. Tax, F. van der Heijden, 2005 .

Experiments with Classifier Combining Rules

Robert P. W. Duin, David M. J. Tax, D. Tax, 2000, Multiple Classifier Systems.

Proximity Isolation Forests

Manuele Bicego, David M. J. Tax, Antonella Mensi, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Multimodal Joint Head Orientation Estimation in Interacting Groups via Proxemics and Interaction Dynamics

David M. J. Tax, Hayley Hung, Stephanie Tan, 2021, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

A consistency-based model selection for one-class classification

Klaus-Robert Müller, David M. J. Tax, 2004, ICPR 2004.

On the Informativeness of Asymmetric Dissimilarities

Robert P. W. Duin, Marco Loog, David M. J. Tax, 2013, SIMBAD.