2743 search results - page 200 / 549 » Minimization of an M-convex Function |
182
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CDC
2010
IEEE
15 years 1 months ago
2010
IEEE
In the past decade, moving horizon estimation (MHE) has emerged as a powerful technique for estimating the state of a dynamical system in the presence of nonlinearities and disturb...
199
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CDC
2010
IEEE
15 years 1 months ago
2010
IEEE
Over the past few years, a number of distributed algorithms have been developed for integrating the measurements acquired by a wireless sensor network. Among them, average consensu...
201
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MCS
2011
Springer
15 years 1 months ago
2011
Springer
Consider a matrix valued function A(x) ∈ Rm×n , m ≥ n, smoothly depending on parameters x ∈ Ω ⊂ R2 , where Ω is simply connected and bounded. We consider a technique t...
215
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PAMI
2011
15 years 1 months ago
2011
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
284
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SIAMIS
2011
15 years 1 months ago
2011
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...