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- W2000231352 abstract "We introduce a coefficient update procedure into existing batch and online dictionary learning algorithms. We first propose an algorithm which is a coefficient updated version of the Method of Optimal Directions (MOD) dictionary learning algorithm (DLA). The MOD algorithm with coefficient updates presents a computationally expensive dictionary learning iteration with high convergence rate. Secondly, we present a periodically coefficient updated version of the online Recursive Least Squares (RLS)-DLA, where the data is used sequentially to gradually improve the learned dictionary. The developed algorithm provides a periodical update improvement over the RLS-DLA, and we call it as the Periodically Updated RLS Estimate (PURE) algorithm for dictionary learning. The performance of the proposed DLAs in synthetic dictionary learning and image denoising settings demonstrates that the coefficient update procedure improves the dictionary learning ability." @default.
- W2000231352 created "2016-06-24" @default.
- W2000231352 creator A5047214353 @default.
- W2000231352 date "2014-06-01" @default.
- W2000231352 modified "2023-10-16" @default.
- W2000231352 title "Online dictionary learning algorithm with periodic updates and its application to image denoising" @default.
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- W2000231352 doi "https://doi.org/10.1016/j.eswa.2013.11.036" @default.
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