Results 21 to 30 of about 50,039 (279)
A novel algorithm for multiplicative speckle noise reduction in ex vivo human brain OCT images
Optical coherence tomography (OCT) images of ex vivo human brain tissue are corrupted by multiplicative speckle noise that degrades the contrast to noise ratio (CNR) of microstructural compartments.
Divya Varadarajan +5 more
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Enhanced mobile broadband (eMBB) and ultra-reliable and low-latency communications (URLLC) are the two main expected services in the next generation of wireless networks.
Praveenkumar Korrai +5 more
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Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion. [PDF]
This paper presents a robust 3D point cloud registration algorithm based on bidirectional Maximum Correntropy Criterion (MCC). Comparing with traditional registration algorithm based on the mean square error (MSE), using the MCC is superior in dealing ...
Xuetao Zhang, Libo Jian, Meifeng Xu
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Parameter estimation in stochastic differential equations [PDF]
Financial processes as processes in nature, are subject to stochastic fluctuations. Stochastic differential equations turn out to be an advantageous representation of such noisy, real-world problems, and together with their identification, they play an ...
Abd.Rahman, Haliza +3 more
core +1 more source
Owing to the vulnerability of relay-assisted communications, improving wireless security from a physical layer signal processing perspective is attracting increasing interest.
Jiaxin Yang +5 more
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Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions
Distance weighted discrimination (DWD) is an appealing classification method that is capable of overcoming data piling problems in high-dimensional settings. Especially when various sparsity structures are assumed in these settings, variable selection in
Tong Su +8 more
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Relaxation for an optimal design problem with linear growth and perimeter penalization [PDF]
This paper is devoted to the relaxation and integral representation in the space of functions of bounded variation for an integral energy arising from optimal design problems. The presence of a perimeter penalization is also considered in order to avoid non-existence of admissible solutions and, in addition, this leads to an interaction in the limit ...
Graça Carita, ZAPPALE, ELVIRA
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Incremental proximal gradient scheme with penalization for constrained composite convex optimization problems [PDF]
We consider the problem of minimizing a finite sum of convex functions subject to the set of minimizers of a convex differentiable function. In order to solve the problem, an algorithm combining the incremental proximal gradient method with smooth penalization technique is proposed.
Narin Petrot, Nimit Nimana
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In contemporary research, high-dimensional data has become more popular in many scientific fields with the rapid advancement of technology in collecting and storing large datasets.
Nuriye Sancar +3 more
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Penalization via global functionals of optimal-control problems for dissipative evolution
We consider an optimal control problem for an abstract nonlinear dissipative evolution equation. The differential constraint is penalized by augmenting the target functional by a nonnegative global-in-time functional which is null-minimized in the evolution equation is satisfied.
Lorenzo Portinale, Ulisse Stefanelli
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