Title	Detecting presence of emission sources with low SNR. "Analysis" vs deep learning
Creator	Kuchment, Peter
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2019-06-24T09:04
Description	The talk will discuss the homeland security problem of detecting presence of emission sources at high noise conditions. (Semi-)analytic and deep learning techniques will be compared. This is a joint work with W. Baines and J. Ragusa.
Extent	47.0 minutes
Subject	Mathematics; Functional analysis; Calculus of variations and optimal control; optimization; Numerical analysis
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Texas A&M University
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2019-12-22
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0387272
URI	http://hdl.handle.net/2429/72909
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

Open Collections

BIRS Workshop Lecture Videos