2 papers
cs.LG2026
CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection
Zemin Chao, Qianhui Xu, Jianhe Cen +3
While deep learning models have achieved state-of-the-art performance in time series anomaly detection, their complex architectures incur substantial inference overhead. Existing m…
cs.DB2026
A New Lower Bounding Paradigm and Tighter Lower Bounds for Elastic Similarity Measures
Zemin Chao, Boyu Xiao, Zitong Li +3
Elastic similarity measures are fundamental to time series similarity search because of their ability to handle temporal misalignments. These measures are inherently computationall…