This paper presents a novel Boundary-based approach in one-class classification that is inspired by support vector data description (SVDD). The SVDD is a popular kernel method which tries to fit a hypersphere around the target objects and of course more p
Keywords: Mapping functions - One-class classification - Outlier detection - Support vector data description, Mapping functions - One-class classification - Outlier detection - Support vector data description
