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Storing data once in M-trees and PM-trees: Revisiting the building principles of metric access methods.

, , and . Inf. Syst., (2022)

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Reducing the semantic gap content-based image retrieval with similarity queries.. University of São Paulo, Brazil, (2009)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-25012010-104635).An Efficient Approach to Scale up k-medoid based Algorithms in Large Databases., , , and . SBBD, page 265-279. UFSC, (2006)Extending Relational atabases to Support Content-based Retrieval of Medical Images., , , , and . CBMS, page 303-308. IEEE Computer Society, (2002)Metric Indexing Assisted by Short-Term Memories., , and . SISAP, volume 11223 of Lecture Notes in Computer Science, page 107-121. Springer, (2018)Faster construction of ball-partitioning-based metric access methods., , and . SAC, page 8-12. ACM, (2013)Storing Data Once in M-tree and PM-tree., and . SISAP, volume 11807 of Lecture Notes in Computer Science, page 18-31. Springer, (2019)Storing data once in M-trees and PM-trees: Revisiting the building principles of metric access methods., , and . Inf. Syst., (2022)Impacto da amostragem aleatória uniforme para o aumento da escalabilidade na geração de agrupamentos hierárquicos de séries espaço-temporais., , , and . SBBD, page 193-198. SBC, (2016)EVISClass: a new evaluation method for image data stream classifiers., , , and . ICMLA, page 399-406. IEEE, (2020)DBSnap 2: New Features to Construct Database Queries by Snapping Blocks., , and . ITiCSE (2), page 601-602. ACM, (2022)