Cargando…
Direct domain adaptation through reciprocal linear transformations
We propose a direct domain adaptation (DDA) approach to enrich the training of supervised neural networks on synthetic data by features from real-world data. The process involves a series of linear operations on the input features to the NN model, whether they are from the source or target distribut...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402934/ https://www.ncbi.nlm.nih.gov/pubmed/36034594 http://dx.doi.org/10.3389/frai.2022.927676 |