Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject data mining
Showing results 7 to 8 of 8
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| Issue Date | Title | Author(s) |
|---|---|---|
| 20-Sep-2021 | Self-supervised Representation Learning for Videos by Segmenting via Sampling Rate Order Prediction | Meng, H; Huang, J; Huang, Y; Wang, Q; Yang, W |
| 29-Sep-2019 | A Shallow Parsing Approach to Natural Language Queries of a Database | Skeggs, R; Lauria, S |