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- W2364538794 abstract "An improvement method based on compressed bitmap was proposed to address the deficiency of deletion performance in traditional locality-sensitive hashing(LSH) algorithms.To improve the overall performance especially the delete performance of LSH algorithms,a novel Boolean algebra schema for LSH operations was designed and the vector structure in hash-buckets was replaced with compressed bitmaps.In addition,a mark-and-sweep strategy was utilized to perform a batch deletion and further improved the delete performance.Theoretical analysis showed the improvements of CB-LSH in both memory space requirements and time complexity of all the LSH operations.Thorough experiments showed that CB-LSH not only saved notable memory space,but also achieved significant improvements in delete,query and insert performances.Industrial practice also verified that CB-LSH is qualified for online updates and queries for content-based image retrieval in large-scale multimedia databases,and CB-LSH significantly improves the overall performance and optimally utilizes the resources." @default.
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- W2364538794 date "2012-03-01" @default.
- W2364538794 modified "2023-09-26" @default.
- W2364538794 title "CB-LSH: an efficient LSH indexing algorithm based on compressed bitmap" @default.
- W2364538794 doi "https://doi.org/10.3785/j.issn.1008-973x.2012.03.001" @default.
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