基于深度学习的过完备字典稀疏 表示的矩阵分析

卫小强

电脑与电信 ›› 2017, Vol. 1 ›› Issue (7) : 97-99.

电脑与电信 ›› 2017, Vol. 1 ›› Issue (7) : 97-99.
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基于深度学习的过完备字典稀疏 表示的矩阵分析

  • 卫小强
作者信息 +

The Matrix Analysis on Over-complete Dictionary and Sparse Representation Based on Deep Learning

  • Wei Xiaoqiang
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文章历史 +

摘要

本文从数学的角度探讨了外部输入信息与过完备字典之间的关系问题即相关性问题,研究了过完备字典与稀 疏表示的内在联系,在此基础上对过完备字典进行分析和修正,以提高深度学习的层次且增加对环境的适应性,为今后对字典 的设计奠定了基础。

Abstract

The paper inquiries into the relativity problem between input information and over-complete dictionary from the mathematical viewpoint and their inner relationships. On this foundation, we analyze and revise the over- complete dictionaries to enhance the level and adaptability of deep learning, and lay the foundations of the dictionary design in the future.

关键词

机器学习 / 过完备字典 / 稀疏表示 / OMP

Key words

machine study / over-complete dictionary / sparse representation / OMP

引用本文

导出引用
卫小强. 基于深度学习的过完备字典稀疏 表示的矩阵分析[J]. 电脑与电信. 2017, 1(7): 97-99
Wei Xiaoqiang. The Matrix Analysis on Over-complete Dictionary and Sparse Representation Based on Deep Learning[J]. Computer & Telecommunication. 2017, 1(7): 97-99
中图分类号: TN911.7   

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