To address the aforementioned limitations, this article proposes a multisource data fusion classification method based on a cross-modal cascaded encoder-decoder network (CCEnd-Net). The proposed ...

The architecture of this model combines each user's features and his historical event lists by sequence-to-sequence (Seq2Seq) structure and make predictions based on his recent event lists. We also ...

Pick from a selection of pretrained models or upload your own that you can train with the train_autoencoder demo. Train Autoencoder: Takes you through all the steps to convert audio files into a ...

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 ...

"IEEE.tv is an excellent step by IEEE. This will pave a new way in knowledge-sharing and spreading ideas across the globe." ...