IEEE

Effect of Integrating Variational Autoencoder with SENet on Dimensionality Reduction in ...

Abstract: Dimensionality reduction using Variational Autoencoder (VAE) is widely employed in learning diverse state representations, such as in autonomous driving tasks. Conventional VAE-based ...
IEEE

Multispace Dimensionality Reduction Based on Extreme Learning Machine-Assisted Autoencoder ...

Abstract: Faced with high-dimensional expensive optimization problems (HEOPs), existing high-dimensional expensive optimization algorithms (HEOAs) struggle to locate promising areas quickly due to a ...