Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Visual Categorization of Objects into Animal and Plant Classes Using
  Global Shape Descriptors   How humans can distinguish between general categories of objects? Are the
subcategories of living things visually distinctive? In a number of
semantic-category deficits, patients are good at making broad categorization
but are unable to remember fine and specific details. It has been well accepted
that general information about concepts are more robust to damages related to
semantic memory. Results from patients with semantic memory disorders
demonstrate the loss of ability in subcategory recognition. While bottom-up
feature construction has been studied in detail, little attention has been
served to top-down approach and the type of features that could account for
general categorization. In this paper, we show that broad categories of animal
and plant are visually distinguishable without processing textural information.
To this aim, we utilize shape descriptors with an additional phase of feature
learning. The results are evaluated with both supervised and unsupervised
learning mechanisms. The obtained results demonstrate that global encoding of
visual appearance of objects accounts for high discrimination between animal
and plant object categories.

29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org