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We consider the problem of learning a coecient vector x0 2 R N from noisy linear observation y = Ax0 + w 2 R n. In many contexts (ranging from model selection to image processing) it is desirable to ...
We propose a discrete approximation of the Gaussian curvature over quadrilateral meshes using a linear combination of two angle de痗its. Suppose a surface mesh is obtained from a sampling of a smooth...
Abstract: Given a decision process based on the approximate probability density function returned by a data assimilation algorithm, an interaction level between the decision making level and the data ...
We give two examples of periodic Gaussian processes, having en-tropy numbers of exactly same order but radically different small deviations.Our construction is based on classical Knopp’s result yieldi...
We study the small deviation probabilities of a family of very smooth self-similar Gaussian processes. The canonical process from the family has the same scaling properties as standard Brownian motion...
Abstract对复Gaussian小波满足Mercy条件及其在Hilbert空间具有再生性的命题作了证明.用复Gaussian小波构建出一种核函数,与主成分分析方法相结合,对非线性非平稳信号进行参数辨识和预测.针对多参数模型优化时间过长,不利于工程应用的问题,提出了一种多参数同步优化策略.仿真实验验证了该方法的可行性和有效性,表明该方法具有较好的实用价值.
In this paper, we study the convergent property of a well known discretized scheme of Gaussian curvature, derived from Gauss-Bonnet theorem, over triangulated surface.Suppose the triangulation is obta...

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