Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Matrix Completion with Side Information using Manifold Optimization   We solve the Matrix Completion (MC) problem based on manifold optimization by
incorporating the side information under which the columns of the intended
matrix are drawn from a union of low dimensional subspaces. It is proved that
this side information leads us to construct new manifolds, as $\it{embedded}$
submanifold of the manifold of constant rank matrices, using which the MC
problem is solved more accurately.
  The required geometrical properties of the aforementioned manifold are then
presented for matrix completion. Simulation results show that the proposed
method outperforms some recent techniques either based on side information or
not.

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The categories of this paper are: solv-int
3
The categories of this paper are: physics
1
The categories of this paper are: cs
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
4
The categories of this paper are: cond-mat
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The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
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The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an