Detecting presence of low SNR emission sources Analysis and "analysis" vs deep learning

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Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Kuchment, Peter

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Title

Detecting presence of low SNR emission sources Analysis and "analysis" vs deep learning

Alternative Title

Detecting presence of emission sources with low SNR. "Analysis" vs deep learning

Title of Series

Reconstruction Methods for Inverse Problems (19w5092)

Number of Parts

Author

Kuchment, Peter

License

CC Attribution - NonCommercial - NoDerivatives 4.0 International:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor.

Identifiers

10.5446/56554 (DOI)

Publisher

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Release Date

2019

Language

English

Content Metadata

Subject Area

Computer Science Life Sciences Mathematics Physics Engineering

Genre

Workshop/Interactive Format Lecture

Abstract

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.