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Poisson Group Testing: A Probabilistic Model for Boolean Compressed Sensing
Amin Emad,
Olgica Milenkovic
Electrical and Computer Engineering
Coordinated Science Lab
Statistics
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
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Keyphrases
Poisson
100%
Probabilistic Model
100%
Group Testing
100%
Boolean Compressed Sensing
100%
Error Probability
66%
Non-adaptive
66%
Number of Tests
66%
Expected number of Tests
66%
Reconstruction Algorithm
33%
Identification Method
33%
Poisson Model
33%
Relative Rate
33%
Dynamic Testing
33%
Zero Error
33%
Matrix Construction
33%
Stage-wise
33%
Testing Framework
33%
Adaptive Identification
33%
Test Matrix
33%
Truncated Poisson Distribution
33%
Average number of Defectives
33%
Semi-adaptive
33%
Mathematics
Defectives
100%
Group tests
100%
Probability Theory
50%
Matrix (Mathematics)
16%
reconstruction algorithm
16%
Constant Factor
16%
Poisson Distribution
16%
Poisson Model
16%