Suchergebnisse - "Iterative thresholding algorithm"

Hierarchical Convolutional Neural Network With Feature Preservation and Autotuned Thresholding for Crack Detection von Zhu, Qiuchen, Dinh, Tran Hiep, Phung, Manh Duong, Ha, Quang Phuc

“… ) and an intercontrast iterative thresholding algorithm for image binarization. First, a set of branch networks is proposed, wherein the output of previous convolutional blocks …”
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Current Evidence Base of FDG-PET/CT Imaging in the Clinical Management of Malignant Pleural Mesothelioma: Emerging Significance of Image Segmentation and Global Disease Assessment von Basu, Sandip, Saboury, Babak, Torigian, Drew A., Alavi, Abass

“… The research on this subject has focused on the following five domains: (1) differentiation of MPM from other benign pleural diseases, (2 …”
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Matrix completion by singular value thresholding: Sharp bounds von Klopp, Olga

“… The goal of this paper is to provide strong theo-retical guarantees, similar to those obtained for nuclear-norm penalization methods and one step thresholding methods, for an iterative thresholding …”
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Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection von Zhu, Qiuchen, Tran, Hiep Dinh, Manh Duong Phung, Ha, Quang Phuc

“… ) and an intercontrast iterative thresholding algorithm for image binarization. First, a set of branch networks is proposed, wherein the output of previous convolutional blocks …”
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Stepwise suboptimal iterative hard thresholding algorithm for compressive sensing von Jia Li, Yi Shen, Qiang Wang

“… In this paper, firstly a novel approach was proposed to improve the original IHT algorithm, which is called Orthogonal Iterative Thresholding algorithm …”
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Fast ℓ1 Minimization by Iterative Thresholding for Multidimensional NMR Spectroscopy von Iddo Drori

“… ) by solving the following optimization problem: min ||x||1 subject to ||y−SFTWTx||2≤ε, where y is a given n …”
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Fast graphic file="1687-6180-2007-020248-i1.gif"/> Minimization by Iterative Thresholding for Multidimensional NMR Spectroscopy von Drori Iddo

“… ) by solving the following optimization problem: min subject to , where is a given observation vector, a random sampling operator, denotes the Fourier transform, and an orthogonal 2D wavelet transform …”
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