Project information
Dynamic Learned Indexing for Similarity Searching
(Dynamic Learned Indexing for Similarity Searching)
- Project Identification
- MUNI/IGA/1071/2021
- Project Period
- 1/2022 - 12/2022
- Investor / Pogramme / Project type
-
Masaryk University
- Internal grant agency MU
- MU Faculty or unit
- Faculty of Informatics
The project's aim is to create an efficient dynamic high-dimensional index for processing complex and unstructured data that are subject to frequent changes (INSERT, DELETE operations) with the use of machine and deep learning methods. It builds on the latest research which favors the use of learned approaches as opposed to rigid data structures for index construction. The proposed index's performance will be verified on synthetic as well as real-world image and motion capture datasets.
Sustainable Development Goals
Masaryk University is committed to the UN Sustainable Development Goals, which aim to improve the conditions and quality of life on our planet by 2030.
