1 citations · 2 across the 2 of their papers we have counts for
5 papers
Federated Learning Method for Preserving Privacy in Face Recognition System
Enoch Solomon, Abraham Woubie
The state-of-the-art face recognition systems are typically trained on a single computer, utilizing extensive image datasets collected from various number of users. However, these…
Image Clustering using Restricted Boltzman Machine
Abraham Woubie, Enoch Solomon, Eyael Solomon Emiru
In various verification systems, Restricted Boltzmann Machines (RBMs) have demonstrated their efficacy in both front-end and back-end processes. In this work, we propose the use of…
Unsupervised Deep Learning Image Verification Method
Enoch Solomon, Abraham Woubie, Eyael Solomon Emiru
Although deep learning are commonly employed for image recognition, usually huge amount of labeled training data is required, which may not always be readily available. This leads…
Autoencoder Based Face Verification System
Enoch Solomon, Abraham Woubie, Eyael Solomon Emiru
The primary objective of this work is to present an alternative approach aimed at reducing the dependency on labeled data. Our proposed method involves utilizing autoencoder pre-tr…
Deep Learning Based Face Recognition Method using Siamese Network
Enoch Solomon, Abraham Woubie, Eyael Solomon Emiru
Achieving state-of-the-art results in face verification systems typically hinges on the availability of labeled face training data, a resource that often proves challenging to acqu…