Abstract: Anomaly detection needs to learn one-class classifiers from normal instances in observation or feature spaces. In the Neyman–Pearson criterion, the design of one-class classifiers boils down ...

I noticed that the Graph Algorithms section does not yet include the interactive and educational features that were recently introduced in the Sorting Algorithms page I would like to contribute by ...

Presenting OpenGraph, a foundation graph model distilling zero-shot graph generalizability from LLMs. To achieve this goal, OpenGraph addresses several key technical challenges: We propose a unified ...

Abstract: To address the discrepancy between geodetic coordinates provided by navigation equipment on autonomous underwater vehicles (AUVs) and Cartesian coordinates employed for calculating Euclidean ...