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Showing 1 to 4 of 4 for “"gradient recovery"”.

  1. Complex-valued SAR image compression : an approach for amplitude, phase, and gradient recovery

    … We also introduce the GradRes network to learn gradients for SAR Scale-Invariant Feature Transform (SAR-SIFT), resulting in robust orientation and magnitude estimations. Additionally, we designed a multi-polarization SAR compression based on a distributed and independent encoding approach for a …

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  2. Recovery Techniques For Finite Element Methods And Their Applications

    <p>Recovery techniques are important post-processing methods to obtain improved approximate solutions from primary data with reasonable cost. The practical us- age of recovery techniques is not only to improve the quality of approximation, but also to provide an asymptotically exact posteriori …

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  3. High Order Fluctuation Splitting Schemes for Hyperbolic Conservation Laws

    … (developed by Abgrall and Roe) and gradient recovery (developed by Caraemi) to obtain the loacl higher degree polynomials used to evaluate the fluctuation. The new higher than second order approach constructs the polynomial interpolant of the values of the dependent variables at an …

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  4. Speeding Up Coded Distributed Machine Learning

    … such as coded matrix multiplication and gradient coding, and proposed numerous coding techniques to alleviate the stragglers. However, since many codings are designed based on theory only, there are still many challenges in practice. In this dissertation, we study such practical …

    cuny-grad Repository record for Speeding Up Coded Distributed Machine Learning (opens in a new tab)