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A Subspace Based Transfer Joint Matching with Laplacian Regularization for Visual Domain Adaptation
In a real-world application, the images taken by different cameras with different conditions often incur illumination variation, low-resolution, different poses, blur, etc., which leads to a large distribution difference or gap between training (source) and test (target) images. This distribution ga...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472389/ https://www.ncbi.nlm.nih.gov/pubmed/32764355 http://dx.doi.org/10.3390/s20164367 |