Results 21 to 30 of about 10,375 (260)
A Novel Speckle Noise Removal Algorithm Based on ADMM and Energy Minimization Method
Journal of Function Spaces, 2020 Speckle noise removal in medical ultrasound images is a challenging task. In this paper, a new model is proposed to removal speckle noise, alternating direction method of multipliers algorithm is employed to solve the new energy minimization model.
Bo Chen +4 more
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Extrapolation Accelerated Linear Alternating Direction Multiplier Method for Split Feasibility Problems and Its Global Convergence [PDF]
Jisuanji kexue, 2023 This paper deals with a linear alternating direction multiplier method (ADMM) for Split feasibility problems (SFP).More specifically,the SFP has been formulated as a separable convex minimization problem with linear constraints,and then extrapolation ...
LIU Yang, XUE Zhonghui, WANG Yongquan, CAO Yongsheng
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Reliability analysis for NOMA‐based UAV assisted short packet communication
IET Communications, 2023 This paper introduces the short packet transmission in non‐orthogonal multiple access (NOMA)‐based unmanned aerial vehicle (UAV) assisted relay communication system.
Hang Hu +6 more
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Graph transduction via alternating minimization [PDF]
Proceedings of the 25th international conference on Machine learning - ICML '08, 2008 Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In practice, these algorithms are sensitive to the initial set of labels provided by the user. For instance, classification accuracy drops if the training set contains weak labels,
Jun Wang 0006 +2 more
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Accelerated Alternating Minimization.
CoRR, 2019 Alternating minimization (AM) procedures are practically efficient in many applications for solving convex and non-convex optimization problems. On the other hand, Nesterov's accelerated gradient is theoretically optimal first-order method for convex optimization.
Sergey Guminov +2 more
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The Chan-Vese Model With Elastica and Landmark Constraints for Image Segmentation
IEEE Access, 2021 In order to completely separate objects with large sections of occluded boundaries in an image, we devise a new variational level set model for image segmentation combining the Chan-Vese model with elastica and landmark constraints.
Jintao Song +4 more
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A convex nonlocal total variation regularization algorithm for multiplicative noise removal
EURASIP Journal on Image and Video Processing, 2019 This study proposes a nonlocal total variation restoration method to address multiplicative noise removal problems. The strictly convex, objective, nonlocal, total variation effectively utilizes prior information about the multiplicative noise and uses ...
Mingju Chen +3 more
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A parallel multi‐block alternating direction method of multipliers for tensor completion
IET Image Processing, 2021 This paper proposes an algorithm for the tensor completion problem of estimating multi‐linear data under the limitation of observation rate. Many tensor completion methods are based on nuclear norm minimization, they may fail to achieve the global ...
Hu Zhu +5 more
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Mineral minimization in nature's alternative teeth [PDF]
Journal of The Royal Society Interface, 2006 Contrary to conventional wisdom, mineralization is not the only strategy evolved for the formation of hard, stiff materials. Indeed, the sclerotized mouthparts of marine invertebrates exhibit Young's modulus and hardness approaching 10 and 1 GPa, respectively, with little to no help from mineralization.
Christopher C, Broomell +7 more
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Automatika, 2023 Several antennas are used for sending and receiving in large MIMO (Multiple-Input-Multiple-Output) devices and assist in enhanced performances of wireless communication systems.
Kasiselvanathan M. +3 more
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