SIEVE: A Space-Efficient Algorithm for Viterbi Decoding
Summary: Space-efficient Viterbi decoding for HMMs; SIEVE removes memory growth tied to observation count. Via divide-and-conquer DP recomputation, it preserves runtime while dramatically reducing RAM, enabling Viterbi on limited-memory devices. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Martino Ciaperoni (Aalto University)
- 2. Aristides Gionis (KTH Royal Institute of Technology)
- 3. Athanasios Katsamanis (Athena Research Center; Behavioral Signals)
- 4. Panagiotis Karras (Aarhus University)
BibTeX Citation
@inproceedings{ciaperoni_sigmod22,
title = {{SIEVE: A Space-Efficient Algorithm for Viterbi Decoding}},
author = {Ciaperoni, Martino and Gionis, Aristides and Katsamanis, Athanasios and Karras, Panagiotis},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3526170},
url = {https://dl.acm.org/doi/10.1145/3514221.3526170},
year = {2022}
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| 4,932 | Space efficiency in Synopsis construction algorithms | 2005 | VLDB | 6.3483816e-05 |
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