The nature of statistical learning theory
The nature of statistical learning theory
Support vector domain description
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Support Vector Data Description
Machine Learning
Fabric defect detection based on multiple fractal features and support vector data description
Engineering Applications of Artificial Intelligence
Two-class support vector data description
Pattern Recognition
Density-induced margin support vector machines
Pattern Recognition
A SVDD approach of fuzzy classification for analog circuit fault diagnosis with FWT as preprocessor
Expert Systems with Applications: An International Journal
New multi-class classification method based on the SVDD model
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Density weighted support vector data description
Expert Systems with Applications: An International Journal
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We propose a new support vector data description (SVDD) incorporating the local density of a training data set by introducing a local density degree for each data point. By using a density-induced distance measure based on the degree, we reformulate a conventional SVDD. Experiments with various real data sets show that the proposed method more accurately describes training data sets than the conventional SVDD in all tested cases.