Results 191 to 200 of about 18,020 (238)

MogaDepth: Multi-Order Feature Hierarchy Fusion for Lightweight Monocular Depth Estimation. [PDF]

Sensors (Basel)
Lin G, Li G.
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A Smoothing Method of Global Optimization that Preserves Global Minima

Journal of Global Optimization, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lau, Mark S. K., Kwong, C. P.
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Global Smoothness Preservation Properties

2016
In this chapter we study the problem of partial global smoothness preservation in the cases of max-product Bernstein approximation operator, max-product Hermite–Fejer interpolation operator based on the Chebyshev nodes of first kind and max-product Lagrange interpolation operator based on the Chebyshev nodes of second kind.
Barnabás Bede, Lucian Coroianu, Sorin G. Gal   +2 more
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Stochastic Global Smoothness Preservation

2000
Let (Ω, A,P) be a probability space and let CΩ[a, b]denote the space of stochastically continuous stochastic processes with index set [a,b]. When C [a,b] ⊂ V ⊂ CΩ[a,b] and \( \tilde L:V \to C_\Omega \left[ {a,b} \right] \) is an E(expectation)-commutative linear operator on V, sufficient conditions are given here for E-preservation of global smoothness
George A. Anastassiou, Sorin G. Gal
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On Global Smoothness Preservation by Bernstein Operators

Journal of Computational Analysis and Applications, 2001
Bernstein operators (and many of their generalizations) preserve the global smoothness measured by the first-order modulus of smoothness. What about the second-order modulus? The paper is devoted to this question. The author improves some results of Ding-Xuan Zhou (1995) and J. Adell-A. Perez-Palomares (1997), and gives a partial answer to a conjecture
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A Global Laplacian Smoothing Approach with Feature Preservation

Ninth International Conference on Computer Aided Design and Computer Graphics (CAD-CG'05), 2006
This paper presents a novel approach for surface smoothing with feature preservation on arbitrary meshes. Laplacian operator is performed in a global way over the mesh. The surface smoothing is formulated as a quadratic optimization problem, which is easily solved a sparse linear system.
null Zhongping Ji, null Ligang Liu, null Guojin Wang   +2 more
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Global Smoothness Preservation by Multivariate Operators

2000
In this chapter we discuss the global smoothness preservation by some multivariate approximating operators. By extending a fundamental result of Khan and Peters, we establish a general result for operators having the splitting property. Furthermore, we show more complete inequalities for Bernstein operators on the k-dimensional simplex and cube ...
George A. Anastassiou, Sorin G. Gal
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Global Smoothness Preservation by General Operators

2000
In this chapter we search the conditions under which global smoothness of a function f (as measured by its modulus of continuity) is preserved by the elements of general approximating sequences (L n f). As one consequence we obtain statements concerning the invariance of Lipschitz classes under operators of several types.
George A. Anastassiou, Sorin G. Gal
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