Deep autoencoder based domain adaptation for transfer learning

The concept of transfer learning has received a great deal of concern and interest throughout the last decade. Selecting an ideal representational framework for instances of various domains to minimize the divergence among source and target domains is a fundamental research challenge in representati...

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Detalles Bibliográficos
Autores principales: Dev, Krishna, Ashraf, Zubair, Muhuri, Pranab K., Kumar, Sandeep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
1200: Machine Vision Theory and Applications for Cyber Physical Systems
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923974/
https://www.ncbi.nlm.nih.gov/pubmed/35310888
http://dx.doi.org/10.1007/s11042-022-12226-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923974/
https://www.ncbi.nlm.nih.gov/pubmed/35310888
http://dx.doi.org/10.1007/s11042-022-12226-2

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