| _ | svdd | _ |
|---|
| Anomaly detection using improved deep | svdd | model with data structure preservation |
| Facial Image Reconstruction by | svdd | -Based Pattern De-noising |
| Fast Hyperspectral Anomaly Detection via | svdd | |
| Fault diagnosis of ZDJ7 railway point machine based on improved DCNN and | svdd | classification |
| Large-margin multiple kernel Lp- | svdd | using Frank-Wolfe algorithm for novelty detection |
| One-Class Classification for Mapping a Specific Land-Cover Class: | svdd | Classification of Fenland |
| Patch | svdd | : Patch-level Svdd for Anomaly Detection and Segmentation |
| Patch | svdd | : Patch-level Svdd for Anomaly Detection and Segmentation |
| Sample reduction using farthest boundary point estimation (FBPE) for support vector data description ( | svdd | ) |
| Selective ensemble of | svdd | s with Renyi entropy based diversity measure |
| Self-adaptive | svdd | integrated with AP clustering for one-class classification |
| svdd | -Based Illumination Compensation for Face Recognition |
12 for svdd