Emotion recognition is of great importance for human-computer interaction. Emotion recognition technology based on physiological signals has shown great potential because of its strong objectivity and ...

In this work, we use a variational autoencoder (VAE) to learn the measurement distribution of two quantum states generated by MPS circuits. We first consider the Greenberger–Horne–Zeilinger (GHZ) ...

A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides. Hossein Abbasi, Mahdi Malekpour, Shahin Yaghoobi, Sina Abdous, Mohammad Hossein Rohban, ...

Specifically, a variational autoencoder firstly trains a generative distribution and extracts reconstruction based features. Then we adopt a deep brief network to estimate the component mixture ...