Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detection of Geometric Structures by an Optimally Subsampled Shearlet
  System in Noisy Digital Images   We provide a statistical analysis of the ability of digitized continuous
shearlet systems to detect objects embedded in white noise. We analyze the
possibility to subsample the shearlet transform and obtain a subset of
significantly reduced cardinality that can still yield statistically optimal
detection results.

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The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
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The categories of this paper are: econ
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The categories of this paper are: solv-int
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The categories of this paper are: chao-dyn
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The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
1
The categories of this paper are: cs