no code implementations • 26 Apr 2022 • Sally Ghanem, Hamid Krim
In this work, we seek to exploit the deep structure of multi-modal data to robustly exploit the group subspace distribution of the information using the Convolutional Neural Network (CNN) formalism.
no code implementations • 10 Apr 2021 • Sally Ghanem, Siddharth Roheda, Hamid Krim
We propose a deep structure encoder using the recently introduced Volterra Neural Networks (VNNs) to seek a latent representation of multi-modal data whose features are jointly captured by a union of subspaces.
no code implementations • 18 Jun 2020 • Sally Ghanem, Ashkan Panahi, Hamid Krim, Ryan A. Kerekes
Robust Subspace Recovery (RoSuRe) algorithm was recently introduced as a principled and numerically efficient algorithm that unfolds underlying Unions of Subspaces (UoS) structure, present in the data.