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Found 4 papers, 1 papers with code
A Greedy Graph Search Algorithm Based on Changepoint Analysis for Automatic QRS Complex Detection
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.
A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection
This model is based on a new graph learning algorithm to learn the constraint graph given the labeled ECG data.
A Graph-constrained Changepoint Detection Approach for ECG Segmentation
Electrocardiogram (ECG) signal is the most commonly used non-invasive tool in the assessment of cardiovascular diseases.
Linear time dynamic programming for the exact path of optimal models selected from a finite set
Many learning algorithms are formulated in terms of finding model parameters which minimize a data-fitting loss function plus a regularizer.
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