7 papers with code • 0 benchmarks • 0 datasets
These leaderboards are used to track progress in Prototype Selection
Using this similarity measure, we propose several related algorithms for ranking data instances and performing numerosity reduction.
Given a set of hand-crafted local features, acquiring a global representation via aggregation is a promising technique to boost computational efficiency and improve task performance.
We propose a novel approach to anomaly detection called Curvature Anomaly Detection (CAD) and Kernel CAD based on the idea of polyhedron curvature.