Results 1 to 10 of about 2,345,368 (345)
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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Evaluating bound-constrained minimization software [PDF]
Computational Optimization and Applications, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ernesto G Bırgın, Bırgın Ernesto G
exaly +4 more sources
CONSTRAINED MINIMIZATION ALGORITHMS [PDF]
EAS Publications Series, 2013 In this paper, we consider the inverse problem of restoring an unknown signal or image, knowing the transformation suffered by the unknowns. More specifically we deal with transformations described by a linear model linking the unknown signal to an unnoisy version of the data. The measured data are generally corrupted by noise.
H. Lantéri, C. Theys, C. Richard
semanticscholar +2 more sources
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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Pattern Search Methods for Linearly Constrained Minimization [PDF]
SIAM Journal on Optimization, 1999 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 ...
R. Lewis, V. Torczon
semanticscholar +2 more sources
Properties of the minimizers for a constrained minimization problem arising in Kirchhoff equation [PDF]
Discrete and Continuous Dynamical Systems. Series A, 2020 Let $a>0,b>0$ and $V(x)\geq0$ be a coercive function in $\mathbb R^2$. We study the following constrained minimization problem on a suitable weighted Sobolev space $\mathcal{H}$: \begin{equation*} e_{a}(b):=\inf\left\{E_{a}^{b}(u):u\in\mathcal{H}\ \mbox ...
Helin Guo, Huan-Song Zhou
semanticscholar +1 more source
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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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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Constrained via minimization [PDF]
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1993 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
openaire +1 more source
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
doaj +1 more source