research
∙
02/02/2023
Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) is a technique to train a deep lea...
share
research
∙
12/29/2021
Semantic Feature Extraction for Generalized Zero-shot Learning
Generalized zero-shot learning (GZSL) is a technique to train a deep lea...
research
∙
10/11/2021
Gradual Federated Learning with Simulated Annealing
Federated averaging (FedAvg) is a popular federated learning (FL) techni...
research
∙
12/30/2019
Joint Sparse Recovery Using Signal Space Matching Pursuit
In this paper, we put forth a new joint sparse recovery algorithm called...
research
∙
10/24/2019
An Optimal Restricted Isometry Condition for Exact Sparse Recovery with Orthogonal Least Squares
The orthogonal least squares (OLS) algorithm is popularly used in sparse...
research
∙
07/27/2019