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稀疏性:算法、近似和分析

Sparsity: algorithms, approximations, and analysis
课程网址: http://videolectures.net/nips2011_gilbert_analysis/  
主讲教师: Anna Gilbert
开课单位: 密歇根大学
开课时间: 2012-01-25
课程语种: 英语
中文简介:
在过去的15年里,我们看到了数学信号和图像处理,信号和图像采集和重建算法以及无数应用中的稀疏性的爆炸性增长。它也是机器学习的核心。我将概述数学理论和几个基本算法结果,包括解决数独难题的有趣应用。
课程简介: The last 15 years we have seen an explosion in the role of sparsity in mathematical signal and image processing, signal and image acquisition and reconstruction algorithms, and myriad applications. It is also central to machine learning. I will present an overview of the mathematical theory and several fundamental algorithmic results, including a fun application to solving Sudoku puzzles.
关 键 词: 数学信号; 图像处理; 重建算法
课程来源: 视频讲座网
最后编审: 2019-07-26:cwx
阅读次数: 44