The study introduces a novel hybrid Variational Autoencoder-SURF (VAE-SURF) model for anomaly detection in crowded environments, addressing critical challenges such as scale variance and temporal ...

Figure 1. Function diagram of loop detection based on a variational autoencoder. The proposed network structure is shown in Figure 2. The front encoder part encodes the input image with 13 ...

With a well-trained conditional variational autoencoder, the conditional probability density function of the wind power could be estimated through the decoder network by sampling the latent random ...

With a well-trained conditional variational autoencoder, the conditional probability density function of the wind power could be estimated through the decoder network by sampling the latent random ...

In summary, our contributions are as follows: • We present a novel multi-domain variational autoencoder capable of modeling combined cardiac anatomy and ECG data. • We provide a detailed explanation ...