Výsledky vyhledávání - "Majorize-minimization algorithm"

Robust Guided Image Filtering Using Nonconvex Potentials Autor Ham, Bumsub, Minsu Cho, Ponce, Jean

“…Filtering images using a guidance signal, a process called guided or joint image filtering, has been used in various tasks in computer vision and computational…”
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Theoretical insights on the pre-image resolution in machine learning Autor Honeine, Paul

“…While many nonlinear pattern recognition and data mining tasks rely on embedding the data into a latent space, one often needs to extract the patterns in the…”
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A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression Autor Man, Rebeka, Pan, Xiaoou, Tan, Kean Ming, Zhou, Wen-Xin

“…Penalized quantile regression (QR) is widely used for studying the relationship between a response variable and a set of predictors under data heterogeneity in…”
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Robust sparse Gaussian graphical modeling Autor Hirose, Kei, Fujisawa, Hironori, Sese, Jun

“… The parameter estimation procedure is constructed using the Majorize-Minimization algorithm, which guarantees that the objective function monotonically decreases at each iteration…”
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Overcomplete Dictionary Learning for Nonnegative Sparse Representation with an ℓp-Norm Constraint Based on Majorize-Minimization Autor Ishikuro, Shiori, Ding, Shuxue, Li, Xiang

“…This paper is for addressing the nonnegative sparse representation problem, i.e. to represent a nonnegative matrix as an over complete nonnegative dictionary…”
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Boundary-constrained robust regularization for single image dehazing Autor Ali, Usman, Choi, Jeongdan, Min, KyoungWook, Choi, Young-Kyu, Mahmood, Muhammad Tariq

“…•The nonconvex problem is solved by a majorize-minimization algorithm Generally, for single image dehazing, regularization-based schemes improve the initial transmission map iteratively by using…”
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Robust Focus Volume Regularization in Shape From Focus Autor Ali, Usman, Mahmood, Muhammad Tariq

“…Shape from focus (SFF) reconstructs 3D shape of the scene from a sequence of multi-focus images, and the quality of reconstructed shape mainly depends on the…”
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Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data Autor Liu, Pan, Li, Yaguang, Li, Jialiang

“…Pharmacogenomics stands as a pivotal driver toward personalized medicine, aiming to optimize drug efficacy while minimizing adverse effects by uncovering the…”
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A Survey on Surrogate Approaches to Non-negative Matrix Factorization Autor Fernsel, Pascal, Maass, Peter

“…Motivated by applications in hyperspectral imaging, we investigate methods for approximating a high-dimensional non-negative matrix Y by a product of two…”
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Incorporating group correlations in genome-wide association studies using smoothed group Lasso Autor Liu, Jin, Huang, Jian, Ma, Shuangge, Wang, Kai

“…In genome-wide association studies, penalization is an important approach for identifying genetic markers associated with disease. Motivated by the fact that…”
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Enforcing spatially coherent structures in shape from focus Autor Ali, Usman, Mahmood, Muhammad Tariq

“…Most of the depth optimization schemes in shape from focus (SFF) enforce spatial coherence through convex energy functionals which oversmooth depth edges…”
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Essays on Robust Statistical Estimation and Inference Autor Yu, Myeonghun

“…Due to the advancements of modern technologies, large-scale and high-dimensional data have been widely collected in almost every scientific disciplines. This…”
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Large-Dimensional Expectile Regression with Heavy-Tailed Data Autor Wang, Zian

“…High-dimensional data can often display heterogeneity due to heteroscedastic variance or inhomogeneous covariate effects. Penalized quantile and expectile…”
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Enforcing Spatially Coherent Structures for Accurate 3D Shape Recovery Autor Ali, Usman, Mahmood, Muhammad Tariq

“… between them. Nonconvex objective function has been solved through majorize-minimization algorithm. Experiments conducted on synthetic and real image sequences provide excellent…”
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Accelerating Unbalanced Optimal Transport Problem Using Dynamic Penalty Updating Autor Su, Xun, Kasai, Hiroyuki

“… In this paper, we prove that the recently proposed Majorize-Minimization algorithm for the UOT problem can be viewed as a form of the Bregman Proximal Descent (BPD…”
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Robust sparse Gaussian graphical modeling Autor Hirose, Kei, Fujisawa, Hironori, Sese, Jun

“… The parameter estimation procedure is constructed using the Majorize-Minimization algorithm, which guarantees that the objective function monotonically decreases at each iteration…”
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