Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting the Most Unusual Part of a Digital Image   The purpose of this paper is to introduce an algorithm that can detect the
most unusual part of a digital image. The most unusual part of a given shape is
defined as a part of the image that has the maximal distance to all non
intersecting shapes with the same form.
  The method can be used to scan image databases with no clear model of the
interesting part or large image databases, as for example medical databases.

36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
16
The categories of this paper are: stat
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex