Direct-Optimization-Based DC Dictionary Learning With the MCP Regularizer

Direct-optimization-based dictionary learning has attracted increasing attention for improving computational efficiency. However, the existing direct optimization scheme can only be applied to limited dictionary learning problems, and it remains an open problem to prove that the whole sequence obtai...

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Vydáno v:	IEEE transaction on neural networks and learning systems Ročník 34; číslo 7; s. 3568 - 3579
Hlavní autoři:	Li, Zhenni, Yang, Zuyuan, Zhao, Haoli, Xie, Shengli
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.07.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Approximation algorithms Convergence Convergence analysis Convex functions Critical point Dictionaries dictionary learning direct optimization Learning Machine learning minimax concave penalty (MCP) regularizer Minimax technique Objective function Optimization Robustness (mathematics) Signal processing algorithms Sparsity
ISSN:	2162-237X, 2162-2388, 2162-2388
On-line přístup:	Získat plný text
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