Title	A Kernel for Multiparameter Persistence
Creator	Kerber, Michael
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2018-08-09T11:00
Description	Kernels for one-parameter persistent homology have been established to connect persistent homology with machine learning techniques, We contribute a kernel construction for multiparameter persistence by integrating a one-parameter kernel along straight lines. We prove a stability result for our construction and show that our kernel can be approximated in polynomial time to any absolute precision.
Extent	32.0
Subject	Mathematics; Algebraic topology; Statistics
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: TU Graz
Series	BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))
Date Available	2019-03-24
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0377387
URI	http://hdl.handle.net/2429/69145
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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