An efficient and flexible dictionary designing algorithm is proposed for sparse and redundant signal representation. The proposed Augmented Dictionary (AD) ...
An efficient and flexible dictionary designing algorithm is proposed for sparse and redundant signal representation. The proposed Augmented Dictionary (AD) ...
Design of augmented dictionary for sparse representation based on ...
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This paper discusses the advantages of augmented dictionary, and interpret how the augmented dictionary can be trained with labeled samples, and presents ...
Bibliographic details on Design of augmented dictionary for sparse representation based on neural network.
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Apr 8, 2022 · categories based on the type of regularization that was used to obtain the sparse representation. A good survey of the different methods has ...
Dictionary learning gives researchers the opportunity to design dictionaries to yield not only sparse representation. (like curvelet, wavelet, DCT etc.) but ...
(Han et al., 2018) employed dictionary learning and sparse representation based-classification (SRC) (Kong et al., 2021) framework to successfully achieve wind ...
Sep 30, 2020 · In this article, we propose an intelligent EEG classification method based on sparse representation and enhanced deep learning networks. The ...
The construction of diverse dictionaries for sparse representation of hyperspectral image (HSI) classification has been a hot topic over the past few years.