Suchergebnisse - "iterative thresholding algorithm"

Inverse source problem for the hyperbolic equation with a time-dependent principal part von Jiang, Daijun, Liu, Yikan, Yamamoto, Masahiro

“… In this paper, we investigate the inverse problem on determining the spatial component of the source term in the hyperbolic equation with a time-dependent …”
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A lifting-wavelet-based iterative thresholding correction for atomic force microscopy images with vertical distortion von Bai, Yifan, Wu, Yinan, Fang, Yongchun

“… To eliminate distortion caused by vertical drift and illusory slopes in atomic force microscopy (AFM) imaging, a lifting-wavelet-based iterative thresholding …”
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On convergence of iterative thresholding algorithms to approximate sparse solution for composite nonconvex optimization von Hu, Yaohua, Hu, Xinlin, Yang, Xiaoqi

“… This paper aims to find an approximate true sparse solution of an underdetermined linear system. For this purpose, we propose two types of iterative …”
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Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm von Zeng, Jinshan, Lin, Shaobo, Xu, Zongben

“… In recent studies on sparse modeling, nonconvex penalties have received considerable attentions due to their superiorities on sparsity-inducing over the convex …”
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Iterative mix thresholding algorithm with continuation technique for mix sparse optimization and application von Hu, Yaohua, Lu, Jian, Yang, Xiaoqi, Zhang, Kai

“… Mix sparse structure is inherited in a wide class of practical applications, namely, the sparse structure appears as the inter-group and intra-group manners …”
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GAITA: A Gauss–Seidel iterative thresholding algorithm for ℓq regularized least squares regression von Zeng, Jinshan, Peng, Zhiming, Lin, Shaobo

“… This paper studies the ℓq(0<q<1) regularized least squares regression (ℓqLS) problem, which arises in many applications of signal processing and machine …”
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Fast and efficient algorithm for matrix completion via closed-form 2/3-thresholding operator von Wang, Zhi, Wang, Wendong, Wang, Jianjun, Chen, Siqi

“… Matrix completion is arguably one of the most studied problems in machine learning and data analysis. Inspired by the closed-form formulas for L2/3 …”
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Non-negative Sparse Recovery via Momentum-Boosted Adaptive Thresholding Algorithm von He, Zihao, Wang, Zhi-Yong, Wen, Jinming, So, Hing Cheung

“… Recovering a non-negative sparse signal from an underdetermined linear system remains a challenging problem in signal processing. Despite the development of …”
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ConvCoroNet: a deep convolutional neural network optimized with iterative thresholding algorithm for Covid-19 detection using chest X-ray images von Merrouchi, M., Benyoussef, Y., Skittou, M., Atifi, K., Gadi, T.

“… Covid-19 is a global pandemic. Early and accurate detection of positive cases prevent the further spread of this epidemic and help to treat rapidly the …”
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Numerical reconstruction of the spatial component in the source term of a time-fractional diffusion equation von Jiang, Daijun, Liu, Yikan, Wang, Dongling

“… In this article, we are concerned with the analysis on the numerical reconstruction of the spatial component in the source term of a time-fractional diffusion …”
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A Novel Iterative Thresholding Algorithm for Arctangent Regularization Problem von He, Zihao, Shu, Qianyu, Wen, Jinming, So, Hing Cheung

“… In this work, we derive the proximity operator of an arctangent penalty, which is expressed using hyperbolic functions of sine and cosine. This penalty is then …”
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L2/3 regularization: Convergence of iterative thresholding algorithm von Zhang, Yong, Ye, Wanzhou

“… •Under some condition, the sequence generated by the L2/3 algorithm converges to a local minimizer of L2/3 regularization.•Under the same conditions, the …”
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Lq regularisation-based synthetic aperture radar image feature enhancement via iterative thresholding algorithm von Bi, Hui, Zhang, Bingchen, Wang, Zhengdao, Hong, Wen

“… A novel Lq(0 < q ≤ 1) regularisation-based synthetic aperture radar (SAR) image feature enhancement method via SAR complex image data is presented. Compared …”
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A hybrid simulated annealing thresholding algorithm for compressed sensing von Fengmin, Xu, Shanhe, Wang

“… In this paper we present a new hybrid simulated annealing thresholding (HSAT) algorithm which preserves the computational simplicity of thresholding algorithm …”
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Itao: a new iterative thresholding algorithm based optimizer for deep neural networks von Merrouchi, M., Atifi, K., Skittou, M., T.Gadi

“… In this paper, we propose a new iterative thresholding algorithm based optimizer (Itao) for deep neural networks. It is a first-order gradient-based algorithm …”
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A new piecewise quadratic approximation approach for L 0 norm minimization problem von Li, Qian, Bai, Yanqin, Yu, Changjun, Ya-xiang, Yuan

“… In this paper, we consider the problem of finding sparse solutions for underdetermined systems of linear equations, which can be formulated as a class of L0 …”
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Compressive sensed video recovery via iterative thresholding with random transforms von Belyaev, Evgeny, Codreanu, Marian, Juntti, Markku, Egiazarian, Karen

“… The authors consider the problem of compressive sensed video recovery via iterative thresholding algorithm. Traditionally, it is assumed that some fixed …”
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SURE-TISTA: A Signal Recovery Network for Compressed Sensing von Yao, Mengcheng, Dang, Jian, Zhang, Zaichen, Wu, Liang

“… Deep neural network (DNN) has a wide range of applications in various fields, including solving sparse inverse problems. In this paper, we propose a novel …”
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Sparse signals recovered by non-convex penalty in quasi-linear systems von Cui, Angang, Li, Haiyang, Wen, Meng, Peng, Jigen

“… The goal of compressed sensing is to reconstruct a sparse signal under a few linear measurements far less than the dimension of the ambient space of the …”
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Sparse solution of underdetermined linear equations via adaptively iterative thresholding von Zeng, Jinshan, Lin, Shaobo, Xu, Zongben

“… Finding the sparset solution of an underdetermined system of linear equations y=Ax has attracted considerable attention in recent years. Among a large number …”
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