Linear time dynamic programming for the exact path of optimal models selected from a finite set

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.

A Graph-constrained Changepoint Detection Approach for ECG Segmentation

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.

QRS Complex Detection Time Series +1

A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection

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.

Graph Learning QRS Complex Detection

A Greedy Graph Search Algorithm Based on Changepoint Analysis for Automatic QRS Complex Detection

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.

Graph Learning QRS Complex Detection