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Found 4 papers, 2 papers with code
PLLay: Efficient Topological Layer based on Persistent Landscapes
We propose PLLay, a novel topological layer for general deep learning models based on persistence landscapes, in which we can efficiently exploit the underlying topological features of the input data structure.
PLLay: Efficient Topological Layer based on Persistence Landscapes
We propose PLLay, a novel topological layer for general deep learning models based on persistence landscapes, in which we can efficiently exploit the underlying topological features of the input data structure.
Video-based Generative Performance Benchmarking (Contextual Understanding)
Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks
This paper presents an innovative and generic deep learning approach to monitor heart conditions from ECG signals. We focus our attention on both the detection and classification of abnormal heartbeats, known as arrhythmia.
Persistence-based Structural Recognition
This paper presents a framework for object recognition using topological persistence.
