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 ...

Particularly in medical diagnostics like multiple sclerosis (MS) classification, where accurately distinguishing ... "An introduction to variational autoencoders." Foundations and Trends® in Machine ...

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 project focuses on learning useful representations from unlabelled data for downstream tasks, specifically categorizing images into one of N categories using Variational Autoencoders (VAE). The ...