Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Experts Fusion and Multilayer Perceptron Based on Belief Learning for
  Sonar Image Classification   The sonar images provide a rapid view of the seabed in order to characterize
it. However, in such as uncertain environment, real seabed is unknown and the
only information we can obtain, is the interpretation of different human
experts, sometimes in conflict. In this paper, we propose to manage this
conflict in order to provide a robust reality for the learning step of
classification algorithms. The classification is conducted by a multilayer
perceptron, taking into account the uncertainty of the reality in the learning
stage. The results of this seabed characterization are presented on real sonar
images.

5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
24
The categories of this paper are: dg-ga