4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Information Fusion: Scaling Subspace-Driven Approaches
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 Networ…
cs.CV2021
Latent Code-Based Fusion: A Volterra Neural Network Approach
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 cap…
cs.LG2020★ 4 cited
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion
Sally Ghanem, Ashkan Panahi, Hamid Krim +1
Robust Subspace Recovery (RoSuRe) algorithm was recently introduced as a principled and numerically efficient algorithm that unfolds underlying Unions of Subspaces (UoS) structure,…