Name
Abstract | ||
|---|---|---|
Machine learning (ML) has increasingly been recently employed to provide solutions for difficult tasks, such as image and speech recognition, and tactile data processing achieving a near human decision accuracy. However, the efficient hardware implementation of ML algorithms in particular for real time applications is still a challenge. This paper presents the hardware architectures and implementa... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCSI.2018.2852260 | IEEE Transactions on Circuits and Systems I: Regular Papers |
Keywords | Field | DocType |
Kernel,Tensile stress,Hardware,Real-time systems,Field programmable gate arrays,Computer architecture,Support vector machines | Kernel (linear algebra),Real time classification,Data processing,Support vector machine,Field-programmable gate array,Implementation,Artificial intelligence,Machine learning,Mathematics,Parallel architecture | Journal |
Volume | Issue | ISSN |
65 | 11 | 1549-8328 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Ibrahim | 1 | 71 | 12.23 |
| M. Valle | 2 | 97 | 19.19 |