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 Support vector machines
Showing results 1 to 3 of 3
| Issue Date | Title | Author(s) |
|---|---|---|
| 2017 | Classification of bearing faults combining compressive sampling, laplacian score, and support vector machine | Ahmed, HOA; Dennis Wong, ML; Nandi, AK |
| 2013 | Extending twin support vector machine classifier for multi-category classification problems | Xie, J; Hone, K; Xie, W; Gao, X; Shi, Y; Liu, X |
| 2017 | Real Time Automated Facial Expression Recognition App Development on Smart Phones | Alshamsi, H; Kepuska, V; Meng, H |