Cargando…
Fractional Wavelet-Based Generative Scattering Networks
Generative adversarial networks and variational autoencoders (VAEs) provide impressive image generation from Gaussian white noise, but both are difficult to train, since they need a generator (or encoder) and a discriminator (or decoder) to be trained simultaneously, which can easily lead to unstabl...
Autores principales: | Wu, Jiasong, Qiu, Xiang, Zhang, Jing, Wu, Fuzhi, Kong, Youyong, Yang, Guanyu, Senhadji, Lotfi, Shu, Huazhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577828/ https://www.ncbi.nlm.nih.gov/pubmed/34764862 http://dx.doi.org/10.3389/fnbot.2021.752752 |
Ejemplares similares
-
Noise reduction of diffusion tensor images by sparse representation and dictionary learning
por: Kong, Youyong, et al.
Publicado: (2016) -
Image denoising via a non-local patch graph total variation
por: Zhang, Yan, et al.
Publicado: (2019) -
Automatic brain tissue segmentation based on graph filter
por: Kong, Youyong, et al.
Publicado: (2018) -
Wavelet Scattering and Neural Networks for Railhead Defect Identification
por: Jin, Yang
Publicado: (2021) -
Spatial analysis of intracerebral electroencephalographic signals in the time and frequency domain: identification of epileptogenic networks in partial epilepsy
por: Wendling, Fabrice, et al.
Publicado: (2008)