Cargando…
Low-rank robust online distance/similarity learning based on the rescaled hinge loss
An important challenge in metric learning is scalability to both size and dimension of input data. Online metric learning algorithms are proposed to address this challenge. Existing methods are commonly based on Passive/Aggressive (PA) approach. Hence, they can rapidly process large volumes of data...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020766/ https://www.ncbi.nlm.nih.gov/pubmed/35469120 http://dx.doi.org/10.1007/s10489-022-03419-1 |