The purpose of this workshop is to foster collaborations between the members of the Italian Gruppo UMI MIVA involving several researchers actively working in the rapidly evolving field of mathematical imaging, vision and their applications.
Contributions from the TAA and AI&ML&MAT UMI Groups are welcomed.
Hong Kong Baptist University
Higher-order tensors are suitable for representing multi-dimensional data in real-world, e.g., color images and videos, low-rank tensor representation has become one of the emerging areas in machine learning and computer vision. However, classical low-rank tensor representations can solely represent multi-dimensional discrete data on meshgrid, which hinders their potential applicability in many scenarios beyond meshgrid. In this talk, we discuss the recent development of tensor representations in data science. Both theoretical results and numerical examples are presented to demonstrate the usefulness of tensor representations.
Participation is free, but registration is required.
If you wish to submit a scientific contribution, please indicate it on the registration form.
Serena Morigi, Luca Calatroni, Marco Donatelli, Marco Prato, Matteo Santacesaria