no code implementations • 20 May 2024 • Sebastian Bruch, Aditya Krishnan, Franco Maria Nardini
Clustering-based nearest neighbor search is a simple yet effective method in which data points are partitioned into geometric shards to form an index, and only a few shards are searched during query processing to find an approximate set of top-$k$ vectors.
no code implementations • 17 Apr 2021 • Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman
In practice and due to computational constraints, most SR methods crudely approximate the importance matrix by its diagonal.