Supervised learning with indefinite topological Kernels
From MaRDI portal
Publication:5023859
DOI10.1080/02331888.2021.1976777zbMath1493.62650arXiv1709.07100OpenAlexW3204079692MaRDI QIDQ5023859
Tullia Padellini, Pierpaolo Brutti
Publication date: 25 January 2022
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1709.07100
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Confidence sets for persistence diagrams
- Least square regression with indefinite kernels and coefficient regularization
- Fréchet means for distributions of persistence diagrams
- Some remarks on reproducing kernel Krein spaces
- Computing persistent homology
- Embeddings of persistence diagrams into Hilbert spaces
- Sliding windows and persistence: an application of topological methods to signal analysis
- Object-oriented persistent homology
- 10.1162/153244302760185252
- Optimal rates of convergence for persistence diagrams in Topological Data Analysis
- Overview of object oriented data analysis
- Probability measures on the space of persistence diagrams
- The Structure and Stability of Persistence Modules
- The Accumulated Persistence Function, a New Useful Functional Summary Statistic for Topological Data Analysis, With a View to Brain Artery Trees and Spatial Point Process Applications
- Geometry Helps to Compare Persistence Diagrams
- Stochastic Convergence of Persistence Landscapes and Silhouettes
- Topology for Computing
- Topological pattern recognition for point cloud data
- Nonembeddability of persistence diagrams with $p>2$ Wasserstein metric
- Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis
- Persistence Images: A Stable Vector Representation of Persistent Homology
- Persistence-Based Clustering in Riemannian Manifolds
- Statistical topological data analysis using persistence landscapes
