Suchergebnisse - "Majorize-Minimization Algorithm"

Robust Guided Image Filtering Using Nonconvex Potentials von 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 von 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 von 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 von Hirose, Kei, Fujisawa, Hironori, Sese, Jun

“… Gaussian graphical modeling is popular as a means of exploring network structures, such as gene regulatory networks and social networks. An L1 penalized …”
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Overcomplete Dictionary Learning for Nonnegative Sparse Representation with an ℓp-Norm Constraint Based on Majorize-Minimization von 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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A Survey on Surrogate Approaches to Non-negative Matrix Factorization von 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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