Work

Additional Note to "A Unified Divide-and-Conquer Framework for Efficient Multiple Change-Point Detection in High Dimensions"

Year: 2025

Type: article

Abstract: 1

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17355781

Authors: Zhi Yang, Zhang, Liwen, Liu, Bin, Liu, Yufeng

Institutions: Shanghai University of Finance and Economics, Fudan University, University of North Carolina at Chapel Hill

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7091783356

FWCI:

Cites:

Cited by:

Related to: