Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the Convergence of the Mean Shift Algorithm in the One-Dimensional
  Space   The mean shift algorithm is a non-parametric and iterative technique that has
been used for finding modes of an estimated probability density function. It
has been successfully employed in many applications in specific areas of
machine vision, pattern recognition, and image processing. Although the mean
shift algorithm has been used in many applications, a rigorous proof of its
convergence is still missing in the literature. In this paper we address the
convergence of the mean shift algorithm in the one-dimensional space and prove
that the sequence generated by the mean shift algorithm is a monotone and
convergent sequence.

23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
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The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
5
The categories of this paper are: gr-qc
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The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio