Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A proximal point algorithm for sequential feature extraction
  applications   We propose a proximal point algorithm to solve LAROS problem, that is the
problem of finding a "large approximately rank-one submatrix". This LAROS
problem is used to sequentially extract features in data. We also develop a new
stopping criterion for the proximal point algorithm, which is based on the
duality conditions of \eps-optimal solutions of the LAROS problem, with a
theoretical guarantee. We test our algorithm with two image databases and show
that we can use the LAROS problem to extract appropriate common features from
these images.

1
The categories of this paper are: cs
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex