69 citations · 208 across the 40 of their papers we have counts for
11 papers · 1 filter
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
Bo Jiang, Hamid Krim, Tianfu Wu +1
We introduce in this paper a new statistical perspective, exploiting the Jaccard similarity metric, as a measure-based metric to effectively invoke non-linear features in the loss…
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…
Volterra Neural Networks (VNNs)
Siddharth Roheda, Hamid Krim
The importance of inference in Machine Learning (ML) has led to an explosive number of different proposals in ML, and particularly in Deep Learning. In an attempt to reduce the com…
Sparse Generative Adversarial Network
Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim
We propose a new approach to Generative Adversarial Networks (GANs) to achieve an improved performance with additional robustness to its so-called and well recognized mode collapse…
Joint Concept Matching based Learning for Zero-Shot Recognition
Wen Tang, Ashkan Panahi, Hamid Krim
Zero-shot learning (ZSL) which aims to recognize unseen object classes by only training on seen object classes, has increasingly been of great interest in Machine Learning, and has…
Analysis Dictionary Learning based Classification: Structure for Robustness
Wen Tang, Ashkan Panahi, Hamid Krim +1
A discriminative structured analysis dictionary is proposed for the classification task. A structure of the union of subspaces (UoS) is integrated into the conventional analysis di…