Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Level Set Estimation from Compressive Measurements using Box Constrained
  Total Variation Regularization   Estimating the level set of a signal from measurements is a task that arises
in a variety of fields, including medical imaging, astronomy, and digital
elevation mapping. Motivated by scenarios where accurate and complete
measurements of the signal may not available, we examine here a simple
procedure for estimating the level set of a signal from highly incomplete
measurements, which may additionally be corrupted by additive noise. The
proposed procedure is based on box-constrained Total Variation (TV)
regularization. We demonstrate the performance of our approach, relative to
existing state-of-the-art techniques for level set estimation from compressive
measurements, via several simulation examples.

33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
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The categories of this paper are: hep-ex
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph