High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors
Summary: Temporal fusion from multiple cheap, low-precision sensors via per-timestamp observation selection, not weighted averaging. ML-guided local trend model; NP-hard optimal fusion, DP exact algorithms, plus approximation with guarantees, robust to outliers. (summarized by gpt-5.4-mini on May 24 2026)
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Authors
- 1. Jingyu Zhu
- 2. Yu Sun
- 3. Shaoxu Song
- 4. Xiaojie Yuan
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,081 | From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies | 2026 | SIGMOD | 4.1945683e-05 |
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