Sparse Sequential Generalization of K-means for dictionary training on noisy signals
Noise incursion is an inherent problem in dictionary training on noisy samples. Therefore, enforcing a structural constrain on the dictionary will be useful for a stable dictionary training. Recently, a sparse dictionary with predefined sparsity has been proposed as a structural constraint. However,...
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Main Authors: | Sahoo, Sujit Kumar, Makur, Anamitra |
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其他作者: | School of Electrical and Electronic Engineering |
格式: | Article |
語言: | English |
出版: |
2017
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在線閱讀: | https://hdl.handle.net/10356/82295 http://hdl.handle.net/10220/43516 |
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