Search Results for author:
Found 2 papers, 0 papers with code
PointJEM: Self-supervised Point Cloud Understanding for Reducing Feature Redundancy via Joint Entropy Maximization
To reduce redundant information in the features, PointJEM maximizes the joint entropy between the different parts, thereby rendering the learned feature variables pairwise independent.
Causal Discovery of Flight Service Process Based on Event Sequence
In the existing ground support research, there has not yet been a process model that directly obtains support from the ground support log to study the causal relationship between service nodes and flight delays.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
