Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Spectral CNN for Laser Induced Breakdown Spectroscopy   This work proposes a spectral convolutional neural network (CNN) operating on
laser induced breakdown spectroscopy (LIBS) signals to learn to (1) disentangle
spectral signals from the sources of sensor uncertainty (i.e., pre-process) and
(2) get qualitative and quantitative measures of chemical content of a sample
given a spectral signal (i.e., calibrate). Once the spectral CNN is trained, it
can accomplish either task through a single feed-forward pass, with real-time
benefits and without any additional side information requirements including
dark current, system response, temperature and detector-to-target range. Our
experiments demonstrate that the proposed method outperforms the existing
approaches used by the Mars Science Lab for pre-processing and calibration for
remote sensing observations from the Mars rover, 'Curiosity'.

9
The categories of this paper are: nlin
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The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
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The categories of this paper are: q-fin
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The categories of this paper are: q-alg
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
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The categories of this paper are: chao-dyn
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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: alg-geom
33
The categories of this paper are: plasm-ph
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The categories of this paper are: eess
31
The categories of this paper are: ao-sci