Search Results for author: Sally Ghanem

Found 3 papers, 0 papers with code

Information Fusion: Scaling Subspace-Driven Approaches

no code implementations26 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.

Clustering

Latent Code-Based Fusion: A Volterra Neural Network Approach

no code implementations10 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.

Clustering Robust classification

Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion

no code implementations18 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.

Clustering Time Series +1

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