Name
Abstract | ||
|---|---|---|
Quaternion neural networks have recently received an increasing interest due to noticeable improvements over real-valued neural networks on real world tasks such as image, speech and signal processing. The extension of quaternion numbers to neural architectures reached state-of-the-art performances with a reduction of the number of neural parameters. This survey provides a review of past and recent research on quaternion neural networks and their applications in different domains. The paper details methods, algorithms and applications for each quaternion-valued neural networks proposed. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s10462-019-09752-1 | Artificial Intelligence Review |
Keywords | DocType | Volume |
Hypercomplex numbers, Quaternion neural networks, Deep Learning | Journal | 53 |
Issue | ISSN | Citations |
4 | 0269-2821 | 2 |
PageRank | References | Authors |
0.46 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Titouan Parcollet | 1 | 16 | 9.23 |
| Mohamed Morchid | 2 | 84 | 22.79 |
| georges linar es | 3 | 136 | 29.55 |