2 papers
cs.IR2025
On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data: Extended Version
Terézia Slanináková, Jaroslav Olha, David Procházka +2
One of the main challenges within the growing research area of learned indexing is the lack of adaptability to dynamically expanding datasets. This paper explores the dynamization…
cs.IR2022
Learned Indexing in Proteins: Extended Work on Substituting Complex Distance Calculations with Embedding and Clustering Techniques
Jaroslav Oľha, Terézia Slanináková, Martin Gendiar +2
Despite the constant evolution of similarity searching research, it continues to face the same challenges stemming from the complexity of the data, such as the curse of dimensional…