Deep Coding Network
Abstract
This paper proposes a principled extension of the traditional single-layer flat sparse coding scheme, where a two-layer coding scheme is derived based on theoretical analysis of nonlinear functional approximation that extends recent results for local coordinate coding. The two-layer approach can be easily generalized to deeper structures in a hierarchical multiple-layer manner. Empirically, it is shown that the deep coding approach yields improved performance in benchmark datasets.
Cite
Text
Lin et al. "Deep Coding Network." Neural Information Processing Systems, 2010.Markdown
[Lin et al. "Deep Coding Network." Neural Information Processing Systems, 2010.](https://mlanthology.org/neurips/2010/lin2010neurips-deep/)BibTeX
@inproceedings{lin2010neurips-deep,
title = {{Deep Coding Network}},
author = {Lin, Yuanqing and Zhang, Tong and Zhu, Shenghuo and Yu, Kai},
booktitle = {Neural Information Processing Systems},
year = {2010},
pages = {1405-1413},
url = {https://mlanthology.org/neurips/2010/lin2010neurips-deep/}
}