Volume analysis examines how the number of traded shares affects a security's price. Discover how this method is integral to ...
Abstract: The variations in camera view and hand spatial pose are the main reasons for the low accuracy and poor robustness of gesture recognition systems. In order to achieve accurate and stable ...
Abstract: Recently graph auto-encoders have received increasingly widespread attention as one of the important models in the field of deep learning. Existing graph auto-encoder models only use graph ...
scVAG is an innovative framework that integrates Variational Autoencoder (VAE) and Graph Attention Autoencoder (GATE) models for enhanced analysis of single-cell gene expression data. Built upon the ...