Similarity search is getting increasingly useful in real applications. This paper focuses on the
in-memory similarity search, ie, the range query and k nearest neighbor (kNN) query, under …

In this short paper, we outline the idea of applying the concept of a learned index structure to
approximate nearest neighbor query processing. We discuss different data partitioning …

The estimation of local intrinsic dimensionality has applications ranging from adversarial
attack disclosure to clustering and outlier detection, indexing, and data fingerprinting. In this …

In this short paper, we outline the idea of applying the concept of a learned index structure to
approximate nearest neighbor query processing. We discuss different data partitioning …