Jun 2, 2020 · We propose a novel multi-modal data fusion approach based on group sparsity which we refer to as Robust Group Subspace Recovery (RoGSuRe).

We explore the flexibility of the UoS methodology for a new application: Identification and tracking of vehicles by way of multimodal data fusion. This ...

We propose a novel multi-modal data fusion approach based on group sparsity which we refer to as Robust Group Subspace Recovery (RoGSuRe). Relying on a bi- ...

Oct 15, 2020 · We propose a novel multi-modal data fusion approach based on group sparsity which we refer to as Robust Group Subspace Recovery (RoGSuRe).

Robust group subspace recovery: A new approach for multi-modality data fusion. S Ghanem, A Panahi, H Krim, RA Kerekes. IEEE Sensors Journal 20 (20), 12307 ...

Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion. Journal. September, 2020. Using Low-Cost “Garage Band” Recording Technology for ...

Robust Subspace Recovery (RoSuRe) algorithm was recently introduced as a principled and numerically efficient algorithm that unfolds underlying Unions of ...

Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion · Ghanem, S., Panahi, A., Krim, H. & Kerekes, R. A., Oct 15 2020, In: IEEE ...

Apr 26, 2022 · In this work, we seek to exploit the deep structure of multi-modal data to robustly exploit the group subspace distribution of the ...

Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion · Sally GhanemAshkan PanahiH. KrimR. Kerekes. Computer Science. IEEE Sensors ...