Results 1 to 10 of about 1,788,984 (247)
Mixed Noise Removal Using Adaptive Median Based Non-Local Rank Minimization
IEEE Access, 2021 In this paper, we present an innovative mechanism for image restoration problems in which the image is corrupted by a mixture of additive white Gaussian noise (AWGN) and impulse noise (IN). Mixed noise removal is much more challenging problem in contrast
Dai-Gyoung Kim +5 more
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Application of Weighted Truncated p Norm in Motion Target Detection [PDF]
Jisuanji gongcheng, 2018 In the moving object detection methods base on low rank and sparse decomposition,the nuclear norm is not the best approximation of the rank function of the matrix,meanwhile,the spatial continuity of moving object is not to be considered.As a result,the ...
XUAN Xiao,YU Qin
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Double Structured Nuclear Norm-Based Matrix Decomposition for Saliency Detection
IEEE Access, 2020 Saliency detection aims at identifying the most important and informative area in a scene. Recently low rank matrix recovery (LR) theory becomes an effective tool for saliency detection.
Junxia Li, Ziyang Wang, Zefeng Pan
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IEEE Access, 2020 Low-rank and sparse decomposition (LRSD) has attracted wide attention in video foreground-background separation and many other fields. However, the traditional LRSD methods have many tough problems, such as the problems of the low accuracy of the ...
Yongpeng Yang +3 more
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A Log-Det Heuristics for Covariance Matrix Estimation: The Analytic Setup
Stats, 2022 This paper studies a new nonconvex optimization problem aimed at recovering high-dimensional covariance matrices with a low rank plus sparse structure. The objective is composed of a smooth nonconvex loss and a nonsmooth composite penalty.
Enrico Bernardi, Matteo Farnè
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Brazil and the TPNW: Brazilian Interests and the Promotion of the Norm of Nuclear Prohibition [PDF]
Contexto InternacionalThe Treaty on the Prohibition of Nuclear Weapons (TPNW) formalises the norm of nuclear prohibition and is presented as a way to fill a gap regarding nuclear disarmament.
Luiza Elena Januário, Raquel Gontijo
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Robust Semisupervised Land-Use Classification Using Remote Sensing Data With Weak Labels
IEEE Access, 2022 This work develops robust semisupervised classifiers to tackle the three most challenging problems in land-use classification using remote sensing data, namely, information imbalance, label noise, and image uncertainty.
Rui Wang, Man-On Pun
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A Direct Coarray Interpolation Approach for Direction Finding
Sensors, 2017 Sparse arrays have gained considerable attention in recent years because they can resolve more sources than the number of sensors. The coprime array can resolve O ( M N ) sources with only O ( M + N ) sensors, and is a popular sparse ...
Tao Chen, Muran Guo, Limin Guo
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Locality-Constrained Double Low-Rank Representation for Effective Face Hallucination
IEEE Access, 2016 Recently, position-patch-based face hallucination methods have received much attention, and obtained promising progresses due to their effectiveness and efficiency.
Guangwei Gao +5 more
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Mathematics, 2020 Reconstruction of 3D objects in various tomographic measurements is an important problem which can be naturally addressed within the mathematical framework of 3D tensors.
Mohamed Ibrahim Assoweh +2 more
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