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字典学习的K-SVD算法分析 被引量:2

The K-SVD Analysis of Dictionary Learning
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摘要 分析了字典学习的K-SVD算法,通过引入K-Means计算方法,将K-Means方法推广到用于字典学习的K-SVD计算方法中;分析和描述了K-SVD计算过程,指出了K-SVD方法与K-Means方法之间的关系,最后观察图像数据训练用于稀疏表示的字典。 The dictionary learning method i. -tended to K- means to K -SVD method e. the K through - SVD algorithm has been analyzed. We have also ex using some ideas in K - means algorithm. The K - SVD algorithm to solve real problems has been analyzed and given in detailed steps. The differences and similarities between K - SVD and K - Means have been provided. The learned dictionary has been ob- tained by theobserved image data based on the numerical experiments.
作者 牛秀秀 华敏杰 狄燕飞 相鹏 NIU Xiu-xiu HUA Ming-jie DI Yan-fei XIANG Peng(Science of School, Communication University of China, Beijing 100024, China)
出处 《中国传媒大学学报(自然科学版)》 2017年第1期47-50,共4页 Journal of Communication University of China:Science and Technology
关键词 K-Means方法 字典学习 稀疏表示 K-SVD方法 K - Means algorithm dictionary learning sparse representations K - SVD algorithm
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