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In support vector data description (SVDD) a spherically shaped boundary around a normal data set is used to separate this set from abnormal data.
An optimisation problem and an iterative algorithm are proposed to determine model parameters for multi-sphere SVDD to provide a better data description to ...
Abstract. In support vector data description (SVDD) a spherically shaped boundary around a normal data set is used to separate this set from abnormal data.
Nov 21, 2024 · In this paper, we propose a theoretical framework to multi-sphere SVDD in which an optimisation problem and an iterative algorithm are proposed ...
In this paper, we propose a theoretical framework to multi-sphere SVDD in which an optimisation problem and an iterative algorithm are proposed to determine ...
We propose Deep Multi-sphere Support Vector Data Description, which jointly optimises the objectives of the deep network and anomaly detection.
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First, an adaptive sphere detection method is proposed to detect data distributions in the dataset. The data is partitioned in terms of the identified data ...
May 27, 2023 · This paper proposes an object-oriented deep multi-sphere support vector data description (OODMSVDD) method, which takes into account the diversity of ...
An multi-sphere SVDD approach, named MS-SVDD, for outlier detection on multi-distribution data is proposed, and substantial experiments have demonstrated ...