11 citations · 18 across the 3 of their papers we have counts for
3 papers
The effect of variable labels on deep learning models trained to predict breast density
Steven Squires, Elaine F. Harkness, D. Gareth Evans +1
Purpose: High breast density is associated with reduced efficacy of mammographic screening and increased risk of developing breast cancer. Accurate and reliable automated density e…
A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation
Steven Squires, Adam Prügel Bennett, Mahesan Niranjan
We introduce and demonstrate the variational autoencoder (VAE) for probabilistic non-negative matrix factorisation (PAE-NMF). We design a network which can perform non-negative mat…
Minimum description length as an objective function for non-negative matrix factorization
Steven Squires, Adam Prugel Bennett, Mahesan Niranjan
Non-negative matrix factorization (NMF) is a dimensionality reduction technique which tends to produce a sparse representation of data. Commonly, the error between the actual and r…