Learning dynamics of collectively moving agents such as fish or humans i...
In this paper, we propose a novel method to make distance predictions in...
In this paper, we demonstrate how deep autoencoders can be generalized t...
LiDAR point clouds contain measurements of complicated natural scenes an...
With the sophisticated modern technology in the camera industry, the dem...
Nonlinear dimensionality reduction or, equivalently, the approximation o...
Dimension Estimation (DE) and Dimension Reduction (DR) are two closely
r...
This paper uses network packet capture data to demonstrate how Robust
Pr...
For many important network types (e.g., sensor networks in complex harsh...
Existing dimensionality reduction methods are adept at revealing hidden
...