Results 31 to 40 of about 573,498 (278)
Single Image Super-Resolution Based on Deep Learning Features and Dictionary Model
IEEE Access, 2017 In traditional single image super-resolution (SR) methods based on dictionary model, a large number of image features are needed to train the SR dictionary.
Liling Zhao, Quansen Sun, Zelin Zhang
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Compressed Online Dictionary Learning for Fast fMRI Decomposition [PDF]
, 2016 We present a method for fast resting-state fMRI spatial decomposi-tions of very large datasets, based on the reduction of the temporal dimension before applying dictionary learning on concatenated individual records from groups of subjects. Introducing a
Mensch, Arthur +2 more
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Separable Dictionary Learning [PDF]
2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013 12 pages, 2 figures, 1 ...
Hawe, Simon +2 more
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A Novel Hyperspectral Endmember Extraction Algorithm Based on Online Robust Dictionary Learning
Remote Sensing, 2019 Due to the sparsity of hyperspectral images, the dictionary learning framework has been applied in hyperspectral endmember extraction. However, current endmember extraction methods based on dictionary learning are not robust enough in noisy environments.
Xiaorui Song, Lingda Wu
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Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI
, 2014 We develop a Bayesian nonparametric model for reconstructing magnetic resonance images (MRI) from highly undersampled k-space data. We perform dictionary learning as part of the image reconstruction process.
Ding, Xinghao +5 more
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On The Sample Complexity of Sparse Dictionary Learning [PDF]
, 2014 In the synthesis model signals are represented as a sparse combinations of atoms from a dictionary. Dictionary learning describes the acquisition process of the underlying dictionary for a given set of training samples.
Bach, Francis +4 more
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Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
Algorithms, 2017 We introduce a seismic signal compression method based on nonparametric Bayesian dictionary learning method via clustering. The seismic data is compressed patch by patch, and the dictionary is learned online.
Xin Tian, Song Li
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, 2015 Sparse representation models a signal as a linear combination of a small number of dictionary atoms. As a generative model, it requires the dictionary to be highly redundant in order to ensure both a stable high sparsity level and a low reconstruction ...
Nasrabadi, Nasser M. +2 more
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A Dictionary Learning Based Automatic Modulation Classification Method
IEEE Access, 2018 As the process of identifying the modulation format of the received signal, automatic modulation classification (AMC) has various applications in spectrum monitoring and signal interception.
Kezhong Zhang +3 more
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A Greedy Deep Learning Method for Medical Disease Analysis
IEEE Access, 2018 This paper proposes a new deep learning method, the greedy deep weighted dictionary learning for mobile multimedia for medical diseases analysis. Based on the traditional dictionary learning methods, which neglects the relationship between the sample and
Chunxue Wu +4 more
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