Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Image Subset Selection Using Gabor Filters and Neural Networks   An automatic method for the selection of subsets of images, both modern and
historic, out of a set of landmark large images collected from the Internet is
presented in this paper. This selection depends on the extraction of dominant
features using Gabor filtering. Features are selected carefully from a
preliminary image set and fed into a neural network as a training data. The
method collects a large set of raw landmark images containing modern and
historic landmark images and non-landmark images. The method then processes
these images to classify them as landmark and non-landmark images. The
classification performance highly depends on the number of candidate features
of the landmark.

21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom