69 citations · 208 across the 40 of their papers we have counts for
10 papers · 1 filter
Fast OT for Latent Domain Adaptation
Siddharth Roheda, Ashkan Panahi, Hamid Krim
In this paper, we address the problem of unsupervised Domain Adaptation. The need for such an adaptation arises when the distribution of the target data differs from that which is…
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…
Deep Transform and Metric Learning Networks
Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet +1
Based on its great successes in inference and denosing tasks, Dictionary Learning (DL) and its related sparse optimization formulations have garnered a lot of research interest. Wh…
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,…
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks
Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet +1
On account of its many successes in inference tasks and denoising applications, Dictionary Learning (DL) and its related sparse optimization problems have garnered a lot of researc…
Deep Adversarial Belief Networks
Yuming Huang, Ashkan Panahi, Hamid Krim +2
We present a novel adversarial framework for training deep belief networks (DBNs), which includes replacing the generator network in the methodology of generative adversarial netwo…