Manifold-adaptive dimension estimation revisited

Data dimensionality informs us about data complexity and sets limit on the structure of successful signal processing pipelines. In this work we revisit and improve the manifold adaptive Farahmand-Szepesvári-Audibert (FSA) dimension estimator, making it one of the best nearest neighbor-based dimensio...

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Detalles Bibliográficos
Autores principales: Benkő, Zsigmond, Stippinger, Marcell, Rehus, Roberta, Bencze, Attila, Fabó, Dániel, Hajnal, Boglárka, Eröss, Loránd G., Telcs, András, Somogyvári, Zoltán
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Brain-Computer Interface
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771813/
https://www.ncbi.nlm.nih.gov/pubmed/35111907
http://dx.doi.org/10.7717/peerj-cs.790

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771813/
https://www.ncbi.nlm.nih.gov/pubmed/35111907
http://dx.doi.org/10.7717/peerj-cs.790

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