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Leveraging Similarity Joins for Signal Reconstruction

Summary: Proposes a dual SRP formulation and recasts reconstruction as a scalable similarity-join problem with database techniques. Experiments on real and synthetic data show up to 20x speedups over SRP baselines, enabling large-scale applications. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11806
Venue
VLDB
Year
2018
Pagerank
5.3251649e-05
Overall Rank
9,076 | 37.74%
DOI
10.14778/3231751.3231752

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{asudeh_vldb18,
        title = {{Leveraging Similarity Joins for Signal Reconstruction}},
        author = {Asudeh, Abolfazl and Nazi, Azade and Augustine, Jees and Thirumuruganathan, Saravanan and Zhang, Nan and Das, Gautam and Srivastava, Divesh},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {10},
        pages = {1276--1288},
        doi = {10.14778/3231751.3231752},
        url = {https://doi.org/10.14778/3231751.3231752},
        year = {2018}
}

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