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• W3043263114 startingPage "142680" @default.
• W3043263114 abstract "In deep dictionary learning multiple dictionaries are learned based on information at various levels of abstraction. We propose a novel hierarchical discriminative dictionary learning layer embedded within a neural network with an image classification objective. Discrimination is induced in the learned synthesis dictionaries at multiple hierarchical levels in a simple way by a one-hot-code representation of the class labels during the training backward pass. In addition, local sparse representation objectives are approximated during the forward pass, introducing local regularization. We evaluate our proposal on five known datasets and we either outperform state-of-the-art methods or achieve competitive classification results." @default.
• W3043263114 created "2020-07-23" @default.
• W3043263114 creator A5011342780 @default.
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• W3043263114 date "2020-01-01" @default.
• W3043263114 modified "2023-10-17" @default.
• W3043263114 title "Hierarchical Discriminative Deep Dictionary Learning" @default.
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• W3043263114 doi "https://doi.org/10.1109/access.2020.3008841" @default.
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