3 citations · 3 across the 2 of their papers we have counts for
3 papers · 1 filter
iFVS: Towards Instance-Optimized Filtered Vector Search
Abdullah Al-Mamun, Yeasir Rayhan, Walid G. Aref
Filtered vector search (FVS) is increasingly important in modern AI + DB systems, where vector similarity search is combined with relational predicates. Quantization plays a vital…
Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree
Abdullah Al-Mamun, Ch. Md. Rakin Haider, Jianguo Wang +1
Machine Learning (ML) techniques have been successfully applied to design various learned database index structures for both the one- and multi-dimensional spaces. Particularly, a…
A Survey of Learned Indexes for the Multi-dimensional Space
Abdullah Al-Mamun, Hao Wu, Qiyang He +2
A recent research trend involves treating database index structures as Machine Learning (ML) models. In this domain, single or multiple ML models are trained to learn the mapping f…