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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.09.022
Abstract: Abstract Over the past decade, discriminative dictionary learning (DDL) has demonstrated the great success in various pattern classification problems. However, in previous DDL methods, the scheme that how to generate the effective coding coefficients for…
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Keywords:
class wise;
classification;
discriminative dictionary;
coding coefficients ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2786672
Abstract: Scene recognition is a significant and challenging problem in the field of computer vision. One of the principal bottlenecks in applying machine learning techniques to scene recognition tasks is the requirement of a large number…
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Keywords:
scene recognition;
dictionary learning;
recognition;
multicriteria based ... See more keywords
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Published in 2018 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2018.2858139
Abstract: We present a novel algorithm for computed tomography that simultaneously computes a reconstruction and a corresponding segmentation. Our algorithm uses learned dictionaries for both the reconstruction and the segmentation, constructed via discriminative dictionary learning using…
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Keywords:
reconstruction;
joint reconstruction;
segmentation;
dictionary learning ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3170443
Abstract: Sparse representation has been widely applied to image classification, where the key issue is to extract a suitable discriminative dictionary. To this end, we propose a joint dictionary and classifier learning algorithm based on a…
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Keywords:
classification;
discriminative dictionary;
classifier learning;
bayesian approach ... See more keywords
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Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/1527965
Abstract: Recently, dictionary learning has become an active topic. However, the majority of dictionary learning methods directly employs original or predefined handcrafted features to describe the data, which ignores the intrinsic relationship between the dictionary and…
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Keywords:
dictionary projection;
jointly learning;
learning discriminative;
discriminative dictionary ... See more keywords
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Published in 2018 at "Journal of telecommunications and information technology"
DOI: 10.26636/jtit.2018.121317
Abstract: Speech enhancement is one of the many challenging tasks in signal processing, especially in the case of nonstationary speech-like noise. In this paper a new incoherent discriminative dictionary learning algorithm is proposed to model both…
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Keywords:
incoherent discriminative;
speech;
speech enhancement;
dictionary learning ... See more keywords