Results 31 to 40 of about 247,748 (272)
Extreme Learning Machines as Encoders for Sparse Reconstruction
Fluids, 2018 Reconstruction of fine-scale information from sparse data is often needed in practical fluid dynamics where the sensors are typically sparse and yet, one may need to learn the underlying flow structures or inform predictions through assimilation into ...
S M Abdullah Al Mamun +2 more
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Sparse reconstruction of correlated multichannel activity [PDF]
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013 Parametric methods for modeling sinusoidal signals with line spectra have been studied for decades. In general, these methods start by representing each sinusoidal component by means of two complex exponential functions, thereby doubling the number of unknown parameters.
Peelman, S. +5 more
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Computed Tomography Reconstruction Algorithm Based on Relative Total Variation Minimization
CT Lilun yu yingyong yanjiu, 2023 The total variation (TV) minimization algorithm is an effective CT image reconstruction algorithm that can reconstruct sparse or noisy projection data with high accuracy. However, in some cases, the TV algorithm produces stepped artifacts.
Jiahao ZHANG, Zhiwei QIAO
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Image Saliency Detection Combining Sparse Reconstruction and Compactness
Jisuanji kexue yu tansuo, 2020 Aiming at the problem that existing image saliency detection algorithms can't correctly detect salient objects in complex environments, this paper proposes a method combining sparse reconstruction error and the compactness of image salient regions to ...
ZHANG Yingying, GE Hongwei
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Convolutional Sparse Coding for Trajectory Reconstruction [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Trajectory basis Non-Rigid Structure from Motion (NRSfM) refers to the process of reconstructing the 3D trajectory of each point of a non-rigid object from just their 2D projected trajectories. Reconstruction relies on two factors: (i) the condition of the composed camera & trajectory basis matrix, and (ii) whether the trajectory basis has enough ...
Zhu. Yingying, Lucey, Simon
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Collaborative sparse reconstruction for pan-sharpening [PDF]
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013 In this paper, we extend the Sparse Fusion of Images (SparseFI, pronounced “sparsify”) algorithm, proposed by the authors before, to a Jointly Sparse Fusion of Images (J-SparseFI) algorithm by exploiting the possible signal structural correlations between different multispectral channels. The algorithm is evaluated using airborne UltraCam data.
Zhu, Xiao Xiang +2 more
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Scattering Model-Based Frequency-Hopping RCS Reconstruction Using SPICE Methods
Remote Sensing, 2021 RCS reconstruction is an important way to reduce the measurement time in anechoic chambers and expand the radar original data, which can solve the problems of data scarcity and a high measurement cost.
Yingjun Li +4 more
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Photoacoustics, 2023 As a non-invasive hybrid biomedical imaging technology, photoacoustic tomography combines high contrast of optical imaging and high penetration of acoustic imaging.
Xianlin Song +7 more
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Iterative Forward-Backward Pursuit Algorithm for Compressed Sensing
Journal of Electrical and Computer Engineering, 2016 It has been shown that iterative reweighted strategies will often improve the performance of many sparse reconstruction algorithms. Iterative Framework for Sparse Reconstruction Algorithms (IFSRA) is a recently proposed method which iteratively enhances ...
Feng Wang +3 more
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Split Bregman Algorithm for Structured Sparse Reconstruction
IEEE Access, 2018 Sparse reconstruction has attracted considerable attention in recent years and shown powerful capabilities in many applications. In standard sparse reconstruction, the sparse nonzero elements appear anywhere in a vector.
Jian Zou, Haifeng Li, Guoqi Liu
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