Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Motion Blur removal via Coupled Autoencoder   In this paper a joint optimization technique has been proposed for coupled
autoencoder which learns the autoencoder weights and coupling map (between
source and target) simultaneously. The technique is applicable to any transfer
learning problem. In this work, we propose a new formulation that recasts
deblurring as a transfer learning problem, it is solved using the proposed
coupled autoencoder. The proposed technique can operate on-the-fly, since it
does not require solving any costly inverse problem. Experiments have been
carried out on state-of-the-art techniques, our method yields better quality
images in shorter operating times.

5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas