Cite Details
Xiyang Luo and Brendt Wohlberg, "Convolutional Laplacian Sparse Coding", in
Proceedings of the IEEE Southwest Symposium on Image
Analysis and Interpretation (SSIAI), (Santa Fe, NM, USA), doi:
10.1109/SSIAI.2016.7459193, pp. 133--136, Mar 2016
Abstract
We propose to extend the the standard convolutional sparse
representation by combining it with a non-local graph Laplacian
term. This additional term is chosen to address some of the
deficiencies of the l1 norm
in regularizing these representations, and is shown to have an
advantage in both dictionary learning and an example image
reconstruction problem.
BibTeX Entry
@inproceedings{luo-2016-laplacian,
author = {Xiyang Luo and Brendt Wohlberg},
title = {Convolutional {L}aplacian Sparse Coding},
year = {2016},
month = Mar,
urlpdf = {http://brendt.wohlberg.net/publications/pdf/luo-2016-laplacian.pdf},
booktitle = {Proceedings of the IEEE Southwest Symposium on Image
Analysis and Interpretation (SSIAI)},
address = {Santa Fe, NM, USA},
doi = {10.1109/SSIAI.2016.7459193},
pages = {133--136}
}
