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Found 2 papers, 1 papers with code
Bayesian Topological Learning for Brain State Classification
Investigation of human brain states through electroencephalograph (EEG) signals is a crucial step in human-machine communications.
A Bayesian Framework for Persistent Homology
In essence, we model persistence diagrams as Poisson point processes with prior intensities and compute posterior intensities by adopting techniques from the theory of marked point processes.
Methodology 62F15, 60G55, 62-07
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