自恋
发表于 2025-3-25 04:27:27
978-3-030-22367-0Springer Nature Switzerland AG 2019
disciplined
发表于 2025-3-25 08:43:33
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WAX
发表于 2025-3-25 13:58:08
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Flustered
发表于 2025-3-25 19:18:00
https://doi.org/10.1007/978-3-030-22368-7artificial intelligence; computer vision; estimation; image coding; image compression; image processing; i
重画只能放弃
发表于 2025-3-25 21:43:25
An Iteration Method for X-Ray CT Reconstruction from Variable-Truncation Projection Datae regularization parameter can be determined easily using the artifact severity estimation on the identified background points. Numerical experiments on simulated data with different noise levels are conducted to verify the effectiveness of the proposed method.
暴行
发表于 2025-3-26 00:52:36
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兽皮
发表于 2025-3-26 06:48:25
Deep Eikonal Solversl solutions of the Eikonal equation computed on different surfaces. The proposed approach leverages the approximation power of neural networks to enhance the performance of numerical algorithms, thereby, connecting the somewhat disparate themes of numerical geometry and learning.
油毡
发表于 2025-3-26 09:45:47
Towards PDE-Based Video Compression with Optimal Masks and Optic Flowease in the computational complexity. As a proof-of-concept, we evaluate the proposed approach for multiple sequences with different characteristics. We show that the method preserves a reasonable quality in the reconstruction, and is very robust against errors in the flow field.
elucidate
发表于 2025-3-26 16:15:52
Iterative Sampled Methods for Massive and Separable Nonlinear Inverse Problemsonov method within a nonlinear optimization framework. The proposed method is computationally efficient in that it only uses available data at any iteration to update both sets of parameters. Numerical experiments applied to massive super-resolution image reconstruction problems show the power of these methods.
RAG
发表于 2025-3-26 17:23:37
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