Results 11 to 20 of about 113,300 (260)
Linear Methods for Image Interpolation
We discuss linear methods for interpolation, including nearest neighbor, bilinear, bicubic, splines, and sinc interpolation. We focus on separable interpolation, so most of what is said applies to one-dimensional interpolation as well as N-dimensional ...
Pascal Getreuer
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In general, proper orthogonal decomposition (POD) method is used to deal with single-parameter problems in engineering practice, and the linear interpolation is employed to establish the reduced model.
Xiaolong Wang +7 more
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Linear Interpolation Method for Adversarial Attack [PDF]
Deep neural networks exhibit significant vulnerability in the face of adversarial examples and are prone to attacks.The construction of adversarial examples can be abstracted as an optimization problem that maximizes the objective function.How-ever ...
CHEN Jun, ZHOU Qiang, BAO Lei, TAO Qing
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Quadratic/linear rational spline interpolation
We describe the construction of an interpolating quadratic/linear rational spline S of smoothness class C 2 for a strictly convex (or strictly concave) function y on [a, b].
Erge Ideon, Peeter Oja
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Accuracy of compact-stencil interpolation algorithms for unstructured mesh finite volume solver
This study considers the accuracy of cell-to-face centre interpolation of convected quantities in unstructured finite volume meshes with cell-centred storage of variables.
Adek Tasri, Anita Susilawati
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Video Frame Interpolation Based on Symmetric and Asymmetric Motions
Video frame interpolation is the task to synthesize intermediate frames between consecutive frames to increase the frame rate. Recently, various deep-learning techniques have been proposed to interpolate intermediate frames more reliably.
Whan Choi, Yeong Jun Koh, Chang-Su Kim
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The subspace Nevanlinna interpolation problem and the most powerful unfalsified model [PDF]
A generalization of the tangential Nevanlinna interpolation problem will be studied from a behavioral point of view. Necessary and sufficient conditions for its solvability and a characterization of art its solutions are derived.
Willems, JC +3 more
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A Unified Framework From Face Image Restoration to Data Augmentation Using Generative Prior
In the domain of data enhancement, image restoration and data augmentation are two tasks gaining increasing attention. Current image restoration models focus on improving clarity using pre-trained generative models, and data augmentation methods try to ...
Jiawei You +4 more
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Model Order Reduction of Non-Linear Magnetostatic Problems Based on POD and DEI Methods [PDF]
In the domain of numerical computation, Model Order Reduction approaches are more and more frequently applied in mechanics and have shown their efficiency in terms of reduction of computation time and memory storage requirements. One of these approaches,
CLENET, Stephane, HENNERON, Thomas
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Similarity Analysis of User Trajectories Based on Haversine Distance and Needleman Wunsch Algorithm
: In this paper, we discuss the similarity between two trajectories using the Needleman Wunsch algorithm. The calculation steps are interpolating the trajectory, calculating the distance between the trajectory coordinates, identifying the equivalent ...
Mohammad Jamhuri +2 more
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