Results 31 to 40 of about 6,486,492 (310)
Applied Sciences, 2021 Dictionary learning has been an important role in the success of data representation. As a complete view of data representation, hybrid dictionary learning (HDL) is still in its infant stage.
Jianqiang Song +5 more
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Robust Multimodal Dictionary Learning [PDF]
, 2013 We propose a robust multimodal dictionary learning method for multimodal images. Joint dictionary learning for both modalities may be impaired by lack of correspondence between image modalities in training data, for example due to areas of low quality in one of the modalities.
Tian Cao 0001 +5 more
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A New Dictionary Construction Based Multimodal Medical Image Fusion Framework
Entropy, 2019 Training a good dictionary is the key to a successful image fusion method of sparse representation based models. In this paper, we propose a novel dictionary learning scheme for medical image fusion.
Fuqiang Zhou +4 more
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Semi-coupled Dictionary Learning Super-resolution Reconstruction Model with Detail Constraint Factor [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2021 In order to improve the super-resolution reconstruction quality of single image, an improved learning based super-resolution approach was proposed in this paper.
Huang Yuda, Wang Yanran, Niu Sijie
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Weakly Supervised Dictionary Learning
IEEE Transactions on Signal Processing, 2018 We present a probabilistic modeling and inference framework for discriminative analysis dictionary learning under a weak supervision setting. Dictionary learning approaches have been widely used for tasks such as low-level signal denoising and restoration as well as high-level classification tasks, which can be applied to audio and image analysis ...
Zeyu You +3 more
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Underdetermined Blind Source Separation Algorithm for Speech Signal Based on DSKSVD Dictionary Learning [PDF]
Jisuanji gongcheng, 2018 In order to overcome the shortcoming that the traditional learning algorithm training has limited dictionary size and large amount of computation,the algorithm of underdetermined blind source separation for speech signal based on the dictionary learning ...
LI Hu,XU Yan
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AN L1 CRITERION FOR DICTIONARY LEARNING BY SUBSPACE IDENTIFICATION [PDF]
, 2010 Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET-Open grant number: 225913 (project SMALL).EPSRC Leadership Fellowship (EP/G007177 ...
Gribonval, Rémi +11 more
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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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Scale Adaptive Dictionary Learning [PDF]
IEEE Transactions on Image Processing, 2014 Dictionary learning has been widely used in many image processing tasks. In most of these methods, the number of basis vectors is either set by experience or coarsely evaluated empirically. In this paper, we propose a new scale adaptive dictionary learning framework, which jointly estimates suitable scales and corresponding atoms in an adaptive fashion
Cewu Lu, Jianping Shi, Jiaya Jia
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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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