Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Segmenta\c{c}\~ao de imagens utilizando competi\c{c}\~ao e
  coopera\c{c}\~ao entre part\'iculas   This paper presents an extension proposal of the semi-supervised learning
method known as Particle Competition and Cooperation for carrying out tasks of
image segmentation. Preliminary results show that this is a promising approach.
  Este artigo apresenta uma proposta de extens\~ao do modelo de aprendizado
semi-supervisionado conhecido como Competi\c{c}\~ao e Coopera\c{c}\~ao entre
Part\'iculas para a realiza\c{c}\~ao de tarefas de segmenta\c{c}\~ao de
imagens. Resultados preliminares mostram que esta \'e uma abordagem promissora.

27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th