Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Feature Extraction Techniques for the Analysis of Spectral Polarization
  Profiles   This paper introduces a novel feature extraction technique for the analysis
of spectral line Stokes profiles. The procedure is based on the use of an
auto-associative artificial neural network containing non-linear hidden layers.
The neural network extracts a small subset of parameters from the profiles
(features), from which it is then able to reconstruct the original profile.
This new approach is compared to two other procedures that have been proposed
in previous works, namely principal component analysis and Hermitian function
expansions. Depending on the target application, each one of these three
techniques has some advantages and disadvantages, which are discussed here.

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The categories of this paper are: hep-ph
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The categories of this paper are: hep-lat
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
1
The categories of this paper are: cs
16
The categories of this paper are: stat
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
24
The categories of this paper are: dg-ga