Results 1 to 10 of about 38,046 (312)
Evaluating bound-constrained minimization software [PDF]
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E G Bırgın, Bırgın Ernesto G
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Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection
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, Zhenwei Shi, Zhengxia Zou
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Cluster minimal sufficient balance (CMSB): an efficient covariate balancing randomization method for cluster randomized trials [PDF]
Background 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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Pattern Search Methods for Linearly Constrained Minimization [PDF]
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 ...
Robert Michael Lewis, Virginia Torczon
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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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Minimal Rank Properties of Outer Inverses with Prescribed Range and Null Space
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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Constrained via minimization [PDF]
It is shown that the general two-layer constrained via minimization problem and the three-layer constrained via minimization problem for HVH topologies are NP-hard. A backtracking algorithm and a heuristic algorithm for the three-layer HVH constrained via minimization problem are proposed. The backtracking algorithm can also be used for three-layer non-
Keumog Ahn, Sartaj Sahni
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Bayesian Constrained Energy Minimization for Hyperspectral Target Detection
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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Study of constrained minimal supersymmetry [PDF]
Taking seriously phenomenological indications for supersymmetry, we have made a detailed study of unified minimal SUSY, including effects at the few percent level in a consistent fashion. We report here a general analysis without choosing a particular unification gauge group.
Kane, G. L. +3 more
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Deep Constrained Energy Minimization for Hyperspectral Target Detection
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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