Apr 5, 2020 · We propose a novel approach to anomaly detection called Curvature Anomaly Detection (CAD) and Kernel CAD based on the idea of polyhedron curvature.

May 6, 2020 · Anomaly detection refers to finding outliers or anomalies which differ significantly from the normal data points [1]. There exist many ...

Every data point is considered to be the vertex of a hypothetical polyhedron. • For every point, we find its k-Nearest Neighbors (k-NN).

Apr 11, 2020 · higher the score, the more anomalous the point. For finding anomalies for out-of-sample data, we find k-NN for the out-of-.

A novel approach to anomaly detection called Curvature Anomaly Detection (CAD) and Kernel CAD based on the idea of polyhedron curvature using the nearest ...

We propose a novel approach to anomaly detection called Curvature Anomaly Detection (CAD) and Kernel CAD based on the idea of polyhedron curvature.

The code for Curvature Anomaly Detection (CAD), kernel CAD, inverse CAD (iCAD), and kernel iCAD for anomaly detection and prototype selection.

Anomaly Detection and Prototype Selection Using Polyhedron Curvature. https://doi.org/10.1007/978-3-030-47358-7_23 ·. Journal: Advances in Artificial ...

We propose a novel approach to anomaly detection called Curvature Anomaly Detection (CAD) and Kernel CAD based on the idea of polyhedron curvature. 1. Paper

Using the nearest neighbors for a point, we consider every data point as the vertex of a polyhedron where the more anomalous point has more curvature. We also ...