Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detection of objects in noisy images and site percolation on square
  lattices   We propose a novel probabilistic method for detection of objects in noisy
images. The method uses results from percolation and random graph theories. We
present an algorithm that allows to detect objects of unknown shapes in the
presence of random noise. Our procedure substantially differs from
wavelets-based algorithms. The algorithm has linear complexity and exponential
accuracy and is appropriate for real-time systems. We prove results on
consistency and algorithmic complexity of our procedure.

30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc