19 citations · 19 across the 1 of their papers we have counts for
2 papers
math.AT2018
On the Expectation of a Persistence Diagram by the Persistence Weighted Kernel
Genki Kusano
In topological data analysis, persistent homology characterizes robust topological features in data and it has a summary representation, called a persistence diagram. Statistical r…
stat.ML2017★ 19 cited
Kernel method for persistence diagrams via kernel embedding and weight factor
Genki Kusano, Kenji Fukumizu, Yasuaki Hiraoka
Topological data analysis is an emerging mathematical concept for characterizing shapes in multi-scale data. In this field, persistence diagrams are widely used as a descriptor of…