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Performance Benchmarks for Detection Problems

Abstract: 

We propose a benchmark curve that measures the inherent complexity of a detection problem. The benchmark curve is built using a sequence of simple detection methods based upon random projection. It is parameterized by the area above the receiver-operating characteristic curve of the detection method and its computational cost. It divides the plane into regions that can be used to characterize the computational and structural advantages of a given detection method. Numerical illustrations are provided.

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Paper Details

Authors:
Kelsie Larson, Mireille Boutin
Submitted On:
13 November 2017 - 12:58am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Kelsie Larson
Paper Code:
GS-MLSP-O.1.1
Document Year:
2017
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Performance Benchmarks for Detection Problems

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[1] Kelsie Larson, Mireille Boutin, "Performance Benchmarks for Detection Problems", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2332. Accessed: Nov. 23, 2017.
@article{2332-17,
url = {http://sigport.org/2332},
author = {Kelsie Larson; Mireille Boutin },
publisher = {IEEE SigPort},
title = {Performance Benchmarks for Detection Problems},
year = {2017} }
TY - EJOUR
T1 - Performance Benchmarks for Detection Problems
AU - Kelsie Larson; Mireille Boutin
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2332
ER -
Kelsie Larson, Mireille Boutin. (2017). Performance Benchmarks for Detection Problems. IEEE SigPort. http://sigport.org/2332
Kelsie Larson, Mireille Boutin, 2017. Performance Benchmarks for Detection Problems. Available at: http://sigport.org/2332.
Kelsie Larson, Mireille Boutin. (2017). "Performance Benchmarks for Detection Problems." Web.
1. Kelsie Larson, Mireille Boutin. Performance Benchmarks for Detection Problems [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2332