Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the Bee-Identification Error Exponent with Absentee Bees   The "bee-identification problem" was formally defined by Tandon, Tan and
Varshney [IEEE Trans. Commun. (2019) [Online early access]], and the error
exponent was studied. This work extends the results for the "absentee bees"
scenario, where a small fraction of the bees are absent in the beehive image
used for identification. For this setting, we present an exact characterization
of the bee-identification error exponent, and show that independent barcode
decoding is optimal, i.e., joint decoding of the bee barcodes does not result
in a better error exponent relative to independent decoding of each noisy
barcode. This is in contrast to the result without absentee bees, where joint
barcode decoding results in a significantly higher error exponent than
independent barcode decoding. We also define and characterize the "capacity"
for the bee-identification problem with absentee bees, and prove the strong
converse for the same.

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The categories of this paper are: cmp-lg
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The categories of this paper are: atom-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: q-alg
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The categories of this paper are: funct-an
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The categories of this paper are: hep-lat
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The categories of this paper are: nucl-th
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The categories of this paper are: bayes-an
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The categories of this paper are: stat
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The categories of this paper are: adap-org
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The categories of this paper are: nlin
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The categories of this paper are: chem-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: math-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: chao-dyn