Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unsupervised Place Recognition with Deep Embedding Learning over Radar
  Videos   We learn, in an unsupervised way, an embedding from sequences of radar images
that is suitable for solving place recognition problem using complex radar
data. We experiment on 280 km of data and show performance exceeding
state-of-the-art supervised approaches, localising correctly 98.38% of the time
when using just the nearest database candidate.

18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con