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Robert P. W. Duin
Researcher at Delft University of Technology
Publications - 301
Citations - 32657
Robert P. W. Duin is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Classifier (UML) & Random subspace method. The author has an hindex of 62, co-authored 301 publications receiving 31072 citations. Previous affiliations of Robert P. W. Duin include Utrecht University.
Papers
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Statistical pattern recognition: a review
TL;DR: The objective of this review paper is to summarize and compare some of the well-known methods used in various stages of a pattern recognition system and identify research topics and applications which are at the forefront of this exciting and challenging field.
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On combining classifiers
TL;DR: A common theoretical framework for combining classifiers which use distinct pattern representations is developed and it is shown that many existing schemes can be considered as special cases of compound classification where all the pattern representations are used jointly to make a decision.
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Support Vector Data Description
TL;DR: The Support Vector Data Description (SVDD) is presented which obtains a spherically shaped boundary around a dataset and analogous to the Support Vector Classifier it can be made flexible by using other kernel functions.
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Support vector domain description
TL;DR: This paper shows the use of a data domain description method, inspired by the support vector machine by Vapnik, called the support vectors domain description (SVDD), which can be used for novelty or outlier detection and is compared with other outlier Detection methods on real data.
Decision templates for multiple classi"er fusion: an experimental comparison
TL;DR: This work presents here a simple rule for adapting the class combiner to the application and shows that decision templates based on integral type measures of similarity are superior to the other schemes on both data sets.