Linearized Kernel Dictionary Learning

IEEE Journal of Selected Topics in Signal Processing(2016)

引用 53|浏览54
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摘要
In this paper, we present a new approach of incorporating kernels into dictionary learning. The kernel K-SVD algorithm (KKSVD), which has been introduced recently, shows an improvement in classification performance, with relation to its linear counterpart K-SVD. However, this algorithm requires the storage and handling of a very large kernel matrix, which leads to high computational cost, while al...
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关键词
Kernel,Dictionaries,Signal processing algorithms,Machine learning algorithms,Optimization,Approximation algorithms,Training
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