Results 31 to 40 of about 12,040 (299)
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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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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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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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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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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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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A Metalearning-based Sparse Aperture ISAR Imaging Method
Leida xuebao, 2023 Sparse Aperture-Inverse Synthetic Aperture Radar (SA-ISAR) imaging methods aim to reconstruct high-quality ISAR images from the corresponding incomplete ISAR echoes.
Jingyuan XIA +5 more
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Alternating minimization and Boltzmann machine learning [PDF]
IEEE Transactions on Neural Networks, 1992 Training a Boltzmann machine with hidden units is appropriately treated in information geometry using the information divergence and the technique of alternating minimization. The resulting algorithm is shown to be closely related to gradient descent Boltzmann machine learning rules, and the close relationship of both to the EM algorithm is described ...
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Inertial Nonconvex Alternating Minimizations for the Image Deblurring [PDF]
IEEE Transactions on Image Processing, 2019 In image processing, Total Variation (TV) regularization models are commonly used to recover blurred images. One of the most efficient and popular methods to solve the convex TV problem is the Alternating Direction Method of Multipliers (ADMM) algorithm, recently extended using the inertial proximal point method.
Tao Sun 0005 +3 more
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