New account since lemmyrs.org went down, other @Deebsters are available.

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Joined 2 years ago
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Cake day: October 16th, 2023

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  • But you’re misrepresenting my argument.

    Hardly, I’m directly addressing your statement that case insensitive is intuitive to users, grandmas or otherwise - I give examples where it’s not initiative or obvious which filenames match. I didn’t mention ease of implementation at all.

    The principle of least surprise is an important UX consideration, and your idea of effectively introducing collation and localising which files conflict is just trading one problem for another set of problems and suprises (e.g. copying directories between drives with different settings).





  • Deebster@programming.devtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    I found his paper: https://iopscience.iop.org/article/10.3847/1538-3881/ad7fe6 (no paywall 😃)

    From the intro:

    VARnet leverages a one-dimensional wavelet decomposition in order to minimize the impact of spurious data on the analysis, and a novel modification to the discrete Fourier transform (DFT) to quickly detect periodicity and extract features of the time series. VARnet integrates these analyses into a type prediction for the source by leveraging machine learning, primarily CNN.

    They start with some good old fashioned signal processing, before feeding the result into a neutral net. The NN was trained on synthetic data.

    FC = Fully Connected layer, so they’re mixing FC with mostly convolutional layers in their NN. I haven’t read the whole paper, I’m happy to be corrected.