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Found 3 papers, 1 papers with code
A Random Persistence Diagram Generator
Topological data analysis (TDA) studies the shape patterns of data.
TopoResNet: A hybrid deep learning architecture and its application to skin lesion classification
We also combined those topological features, PS and PC, into ResNet-101 model, which we call {\em TopoResNet-101}, the results show that PS and PC are effective in two folds---improving classification performances and stabilizing the training process.
Persistence Curves: A canonical framework for summarizing persistence diagrams
First, we develop a general and unifying framework of vectorizing diagrams that we call the \textit{Persistence Curves} (PCs), and show that several well-known summaries, such as Persistence Landscapes, fall under the PC framework.
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