Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A New Automatic Tool for CME Detection and Tracking with Machine
  Learning Techniques   With the accumulation of big data of CME observations by coronagraphs,
automatic detection and tracking of CMEs has proven to be crucial. The
excellent performance of convolutional neural network in image classification,
object detection and other computer vision tasks motivates us to apply it to
CME detection and tracking as well. We have developed a new tool for CME
Automatic detection and tracking with MachinE Learning (CAMEL) techniques. The
system is a three-module pipeline. It is first a supervised image
classification problem. We solve it by training a neural network LeNet with
training labels obtained from an existing CME catalog. Those images containing
CME structures are flagged as CME images. Next, to identify the CME region in
each CME-flagged image, we use deep descriptor transforming to localize the
common object in an image set. A following step is to apply the graph cut
technique to finely tune the detected CME region. To track the CME in an image
sequence, the binary images with detected CME pixels are converted from
cartesian to polar coordinate. A CME event is labeled if it can move in at
least two frames and reach the edge of coronagraph field of view. For each
event, a few fundamental parameters are derived. The results of four
representative CMEs with various characteristics are presented and compared
with those from four existing automatic and manual catalogs. We find that CAMEL
can detect more complete and weaker structures, and has better performance to
catch a CME as early as possible.

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The categories of this paper are: eess
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
1
The categories of this paper are: cs
5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
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The categories of this paper are: cmp-lg
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The categories of this paper are: supr-con
9
The categories of this paper are: nlin
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th