However, most autoencoder-based unmixing methods use non-structured reconstruction loss to train networks, leading to the ignorance of band-to-band-dependent characteristics and fine-grained ...

It would be very helpful to clarify the specific loss function and training procedure used for the experiments involving metric-induced paths, especially for the image generation tasks in Sections 8.3 ...

First, the framework employs a multiencoder denoising autoencoder (DAE) architecture to mitigate noise interference in raw sensor data. Subsequently, the proposed MFF-WGAN integrates label information ...

Researchers have developed a gene therapy that significantly slowed motor function loss in preclinical models of amyotrophic lateral sclerosis (ALS), offering new hope for treating the devastating ...