no code implementations • 6 Feb 2021 • Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
First, we define the constraint graph manually; then, we present a graph learning algorithm that can search for an optimal graph in a greedy scheme.
no code implementations • 2 Feb 2021 • Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
This model is based on a new graph learning algorithm to learn the constraint graph given the labeled ECG data.
no code implementations • 24 Apr 2020 • Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
Electrocardiogram (ECG) signal is the most commonly used non-invasive tool in the assessment of cardiovascular diseases.
1 code implementation • 5 Mar 2020 • Toby Hocking, Joseph Vargovich
Many learning algorithms are formulated in terms of finding model parameters which minimize a data-fitting loss function plus a regularizer.