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  2. Deep learning super sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    The data collected must be as comprehensive as possible, including as many levels, times of day, graphical settings, resolutions, etc. as possible. This data is also augmented using common augmentations such as rotations, colour changes, and random noise to help generalize the test data. Training is performed on Nvidia's Saturn V supercomputer.

  3. Mipmap - Wikipedia

    en.wikipedia.org/wiki/Mipmap

    Scaling down and up is made more efficient with mipmaps as well. If the texture has a basic size of 256 by 256 pixels, then the associated mipmap set may contain a series of 8 images, each one-fourth the total area of the previous one: 128×128 pixels, 64×64, 32×32, 16×16, 8×8, 4×4, 2×2, 1×1 (a single pixel).

  4. FITS Liberator - Wikipedia

    en.wikipedia.org/wiki/FITS_Liberator

    Re-designed workflow and user interface. The plug-in remembers previous settings. New options for advanced scaling and stretching. A section of v2.0 was dedicated to metadata input and the user also was given access to a text version of the original FITS header. Screenshot FITS Liberator Version 2.1

  5. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    Image scaling can be interpreted as a form of image resampling or image reconstruction from the view of the Nyquist sampling theorem.According to the theorem, downsampling to a smaller image from a higher-resolution original can only be carried out after applying a suitable 2D anti-aliasing filter to prevent aliasing artifacts.

  6. Comparison gallery of image scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Comparison_gallery_of...

    An image size can be changed in several ways. Consider resizing a 160x160 pixel photo to the following 40x40 pixel thumbnail and then scaling the thumbnail to a 160x160 pixel image. Also consider doubling the size of the following image containing text.

  7. 'Never any consensus': UN plastics conference fails to yield ...

    www.aol.com/never-consensus-un-plastics...

    The fault lines were apparent in a revised document released Sunday by the meeting's chair Luis Vayas Valdivieso of Ecuador, a report that may form the basis of an accord but remained riddled with ...

  8. Normalization (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(machine...

    Data normalization (or feature scaling) includes methods that rescale input data so that the features have the same range, mean, variance, or other statistical properties. For instance, a popular choice of feature scaling method is min-max normalization , where each feature is transformed to have the same range (typically [ 0 , 1 ...

  9. View and manage data associated with your account - AOL Help

    help.aol.com/articles/view-and-manage-data...

    Click Download My Data. 3. Select some or all product data to include in your download. ... You will be able to view your current privacy settings and make any ...