Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach
Summary: Sirloin: streaming subsequence anomaly detection with a novel "glance-and-focus" score that jointly models global and local patterns to boost detection accuracy. Dynamically maintains inverted-file indexes and product-quantization codebooks with dual-index optimization to adapt to evolving series and speed processing (≈4× throughput, +58% accuracy vs streaming SOTA). (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Wenjing Wang
- 2. Ziyang Yue
- 3. Bolong Zheng
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