Wasserstein distance (WD) and the associated optimal transport plan have...
Polarimetric imaging, along with deep learning, has shown improved
perfo...
This paper addresses the problem of Unbalanced Optimal Transport (UOT) i...
Common compartmental modeling for COVID-19 is based on a priori knowledg...
Owing to their statistical properties, non-convex sparse regularizers ha...
Object detection in images has reached unprecedented performances. The
s...
Ambient sound scenes typically comprise multiple short events occurring ...
Generative Adversarial Networks (GANs) have proven successful for
unsupe...
Generative Adversarial Networks (GANs) have proven successful for
unsupe...
We introduce in this paper a novel strategy for efficiently approximate ...
Generative models have recently received renewed attention as a result o...
Object detection in still images has drawn a lot of attention over past ...
Leveraging on the convexity of the Lasso problem , screening rules help ...
Machine hearing or listening represents an emerging area. Conventional
a...
We introduce a novel algorithm for solving learning problems where both ...
In this paper, we formulate the Canonical Correlation Analysis (CCA) pro...