Results 41 to 50 of about 6,752,036 (307)
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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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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Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning [PDF]
SIAM Journal on Imaging Sciences, 2018 This paper introduces a new nonlinear dictionary learning method for histograms in the probability simplex. The method leverages optimal transport theory, in the sense that our aim is to reconstruct histograms using so-called displacement interpolations (a.k.a.
Schmitz, Morgan +7 more
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On The Sample Complexity Of Sparse Dictionary Learning [PDF]
, 2014 This work was partially supported Cluster of Excellence CoTeSys funded by the German DFG. This work was partially supported by the EU FP7, SMALL project, FET-Open grant number 225913International audienceIn the synthesis model signals are represented as ...
Gribonval, Rémi +9 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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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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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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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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Classification of mammogram images by dictionary learning
, 2017 2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 -- 16 September 2017 through 17 September 2017 -- 115012Dictionary Learning is a method used in signal and image processing.
Mucahid Barstugan +3 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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