Cargando…
Semi-supervised classifier guided by discriminator
Some machine learning applications do not allow for data augmentation or are applied to modalities where the augmentation is difficult to define. Our study aimed to develop a new method in semi-supervised learning (SSL) applicable to various modalities of data (images, sound, text), especially when...
Autores principales: | Jamroziński, Sebastian, Markowska-Kaczmar, Urszula |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424248/ https://www.ncbi.nlm.nih.gov/pubmed/36038620 http://dx.doi.org/10.1038/s41598-022-18947-6 |
Ejemplares similares
-
Semi-supervised adversarial discriminative domain adaptation
por: Nguyen, Thai-Vu, et al.
Publicado: (2022) -
Semi-Supervised Fuzzy Clustering with Feature Discrimination
por: Li, Longlong, et al.
Publicado: (2015) -
Semi-Supervised Maximum Discriminative Local Margin for Gene Selection
por: Li, Zejun, et al.
Publicado: (2018) -
Multiple Classifiers Based Semi-Supervised Polarimetric SAR Image Classification Method
por: Zhu, Lekun, et al.
Publicado: (2021) -
Hierarchical Wireless Multimedia Sensor Networks for Collaborative Hybrid Semi-Supervised Classifier Learning
por: Wang, Xue, et al.
Publicado: (2007)