This article introduces the Autoencoder Graph Ensemble Model (AEGEM), a novel ensemble-based framework designed to enhance performance in both endmember extraction and abundance estimation. In the ...

It has to be done so all the tensors were the same size. After that I run a handwritten VAE consisting of an encoder and a decoder with added reparameterization trick, so the autoencoder become ...

Methods: This study integrates rainfall, surface displacement, and vertical displacement monitoring data, and proposes an automatic failure mode identification method based on deep convolutional ...

This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network backbone is simple 3-layer fully conv (encoder) and symmetrical for decoder. Finally it ...