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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)

Paper ID
6541
Venue
SIGMOD
Year
2022
Pagerank
5.093636e-05
Overall Rank
11,563 | 20.67%
DOI
10.1145/3514221.3526170

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Authors

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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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
4,819 Space efficiency in Synopsis construction algorithms 2005 VLDB 6.4940349e-05
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