The “curse of dimensionality” makes it challenging to train a machine learning model using high ... basic structure of variational autoencoders with a classifier to achieve task-oriented feature ...

Abstract: Audio information is increasingly being used by surveillance systems to improve their effectiveness. Thus, the present paper describes a novel method for detecting anomalous sound events in ...

This work investigates application-driven optimization of programmable commercial codec settings for networked learning tasks such as image classification. Based on the foundation of variational ...

This repository contains the implementation of the methodologies described in our publication: "Optimizing Satellite Image Analysis: Leveraging Variational Autoencoders for Direct Classification." In ...