Search Results - Hogue, Jarom D

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  1. 1
    A fast methodology for large-scale focusing inversion of gravity and magnetic data using the structured model matrix and the 2-D fast Fourier transform

    A fast methodology for large-scale focusing inversion of gravity and magnetic data using the structured model matrix and the 2-D fast Fourier transform by Renaut, Rosemary A, Hogue, Jarom D, Vatankhah, Saeed, Liu, Shuang

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  2. 2
    A tutorial and open source software for the efficient evaluation of gravity and magnetic kernels

    A tutorial and open source software for the efficient evaluation of gravity and magnetic kernels by Hogue, Jarom D., Renaut, Rosemary Anne, Vatankhah, Saeed

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  3. 3
    Non-negatively constrained least squares and parameter choice by the residual periodogram for the inversion of electrochemical impedance spectroscopy data

    Non-negatively constrained least squares and parameter choice by the residual periodogram for the inversion of electrochemical impedance spectroscopy data by Hansen, Jakob K., Hogue, Jarom D., Sander, Grant K., Renaut, Rosemary A., Popat, Sudeep C.

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  4. 4
    A Tutorial and Open Source Software for the Efficient Evaluation of Gravity and Magnetic Kernels

    A Tutorial and Open Source Software for the Efficient Evaluation of Gravity and Magnetic Kernels by Hogue, Jarom D, Renaut, Rosemary A, Vatankhah, Saeed

    Published in arXiv.org
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  5. 5
    Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures

    Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures by Hogue, Jarom D, Kirby, Robert M, Narayan, Akil

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  6. 6
    A fast methodology for large-scale focusing inversion of gravity and magnetic data using the structured model matrix and the \(2D\) fast Fourier transform

    A fast methodology for large-scale focusing inversion of gravity and magnetic data using the structured model matrix and the \(2D\) fast Fourier transform by Renaut, Rosemary A, Hogue, Jarom D, Vatankhah, Saeed

    Published in arXiv.org
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