May 15, 2019 · Abstract:Given two sets of objects, metric similarity join finds all similar pairs of objects according to a particular distance function in ...
May 15, 2019 · Following this route, we propose a 3-stage sampling framework shown in Algorithm 1: Stage 1: Distribution Parameter Estimation. (Section 3.3).
Given two sets of objects, metric similarity join finds all similar pairs ofobjects according to a particular distance function in metric space.
Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling · no code implementations • 15 May 2019 • Jiacheng Wu, Yong Zhang, Jin Wang ...
Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling. J Wu, Y Zhang, J Wang, C Lin, Y Fu, C Xing. arXiv preprint arXiv:1905.05981 ...
Scalable Metric Similarity Join Using MapReduce. ICDE 2019: 1662 ... Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling.
Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling · Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class ...
Metric Space Similarity Joins | Request PDF - ResearchGate
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Oct 22, 2024 · Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling. Preprint. May 2019. Jiacheng Wu · Yong Zhang ...
Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling ... Scalable Metric Similarity Join Using MapReduce · pdf icon · hmtl icon.
Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling. J Wu, Y Zhang, J Wang, C Lin, Y Fu, C Xing. arXiv preprint arXiv:1905.05981 ...