AktuellesJournal Paper accepted at IEEE Access: Fast Singular Spectrum Transformation (Change Point Detection) via Randomized Linear Algebra
We are pleased to announce that our paper, “Accelerating Singular Spectrum Transformation for Scalable Change Point Detection,” by Lucas Weber and Richard Lenz, has been accepted for publication in IEEE Access (Open Access – Freely available: https://doi.org/10.1109/ACCESS.2025.3640386). In short, the paper accelerates a common change point detection (CPD) algorithm (SST) by significantly reducing its computational […]We are pleased to announce that our paper, “Accelerating Singular Spectrum Transformation for Scalable Change Point Detection,” by Lucas Weber and Richard Lenz, has been accepted for publication in IEEE Access (Open Access – Freely available: https://doi.org/10.1109/ACCESS.2025.3640386). In short, the paper accelerates a common change point detection (CPD) algorithm (SST) by significantly reducing its computational […]
