Results 11 to 20 of about 231,170 (284)
Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection
Remote Sensing, 2019 Ensemble learning is an important group of machine learning techniques that aim to enhance the nonlinearity and generalization ability of a learning system by aggregating multiple learners.
Rui Zhao +3 more
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Cluster minimal sufficient balance (CMSB): an efficient covariate balancing randomization method for cluster randomized trials [PDF]
BMC Medical Research MethodologyBackground Cluster randomized trials (CRTs) require balanced baseline covariates to yield unbiased estimates of treatment effects. Existing approaches such as constrained randomization can improve balance but may compromise allocation randomness.
Jiaxin Cai +9 more
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Evaluating bound-constrained minimization software [PDF]
Computational Optimization and Applications, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Birgin, Ernesto G., Gentil, Jan M.
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Pattern Search Methods for Linearly Constrained Minimization [PDF]
SIAM Journal on Optimization, 2000 The given paper is a continuation of the preceding paper [see SIAM J. Optim. 9, 1082--1099 (1999; Zbl 1031.90047)]. The authors develop a general class of feasible point pattern search algorithms for optimization problems with linear constraints of the form \[ \begin{aligned} \text{minimize }\quad & f(x)\\ \text{subject to }\quad & 1\leq Ax\leq u\end ...
Lewis, Robert Michael, Torczon, Virginia
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Hyperspectral target detection based on transform domain adaptive constrained energy minimization
International Journal of Applied Earth Observations and Geoinformation, 2021 Traditional hyperspectral target detection methods use spectral domain information for target recognition. Although it can effectively retain intrinsic characteristics of substances, targets in homogeneous regions still cannot be effectively recognized ...
Xiaobin Zhao +5 more
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Minimal Rank Properties of Outer Inverses with Prescribed Range and Null Space
Mathematics, 2023 The purpose of this paper is to investigate solvability of systems of constrained matrix equations in the form of constrained minimization problems.
Dijana Mosić +2 more
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Mathematics, 2023 In this work, we investigate a minimization problem with a convex objective function on a domain, which is the solution set of a common fixed point problem with a finite family of nonexpansive mappings.
Alexander J. Zaslavski
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Deep Constrained Energy Minimization for Hyperspectral Target Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Hyperspectral images contain abundant spectral information, which provides great potential for detecting targets that cannot be analyzed with color images.
Xiaoli Yang +3 more
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Bayesian Constrained Energy Minimization for Hyperspectral Target Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 For better performance of hyperspectral target detectors, the prior target spectrum is expected to be accurate and consistent with the target spectrum in the hyperspectral image to be detected.
Jing Zhang +4 more
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Journal of Inequalities and Applications, 2022 This paper first introduces a new iterative method for weak and strong convergence theorem to demonstrate the estimation potential for a fixed point of the cutter and the finite general split feasibility problem.
Kanyanee Saechou, Atid Kangtunyakarn
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