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Embedding k-Nearest Neighbor Queries into Relational Database Management Systems.

, , , , , and . J. Inf. Data Manag., 5 (3): 252-265 (2014)

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Evaluating the Diversification of Similarity Query Results., , , , , and . J. Inf. Data Manag., 4 (3): 188-203 (2013)HELIX: A data-driven characterization of Brazilian land snails., , , , , , and . SBBD, page 319-324. SBC, (2021)Diversity in Similarity Joins., , , , and . SISAP, volume 9371 of Lecture Notes in Computer Science, page 42-53. Springer, (2015)Pushing diversity into higher dimensions: The LID effect on diversified similarity searching., , , , , and . Inf. Syst., (March 2023)Embedding k-Nearest Neighbor Queries into Relational Database Management Systems., , , , , and . J. Inf. Data Manag., 5 (3): 252-265 (2014)Combine-and-conquer: improving the diversity in similarity search through influence sampling., , , , , and . SAC, page 994-999. ACM, (2015)A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds., , , , , , , , and . CBMS, page 343-348. IEEE, (2019)A Label-Scaled Similarity Measure for Content-Based Image Retrieval., , , , , , , and . ISM, page 20-25. IEEE Computer Society, (2016)An empirical assessment of quality metrics for diversified similarity searching., , , , and . J. Inf. Data Manag., (2021)Efficient Self-similarity Range Wide-joins Fostering Near-duplicate Image Detection in Emergency Scenarios., , , , and . ICEIS (1), page 81-91. SciTePress, (2016)