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  2. Weissman score - Wikipedia

    en.wikipedia.org/wiki/Weissman_score

    The Weissman score is a performance metric for lossless compression applications. It was developed by Tsachy Weissman, a professor at Stanford University, and Vinith Misra, a graduate student, at the request of producers for HBO's television series Silicon Valley, a television show about a fictional tech start-up working on a data compression algorithm.

  3. WebP - Wikipedia

    en.wikipedia.org/wiki/WebP

    WebP's lossy compression algorithm is based on the intra-frame coding of the VP8 video format [24] and the Resource Interchange File Format (RIFF) as a container format. [4] As such, it is a block-based transformation scheme with eight bits of color depth and a luminance–chrominance model with chroma subsampling by a ratio of 1:2 ( YCbCr 4:2: ...

  4. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    When scaling a vector graphic image, the graphic primitives that make up the image can be scaled using geometric transformations with no loss of image quality. When scaling a raster graphics image, a new image with a higher or lower number of pixels must be generated. In the case of decreasing the pixel number (scaling down), this usually ...

  5. GIMP - Wikipedia

    en.wikipedia.org/wiki/GIMP

    The GNU Image Manipulation Program, commonly known by its acronym GIMP (/ ɡ ɪ m p / GHIMP), is a free and open-source raster graphics editor [3] used for image manipulation (retouching) and image editing, free-form drawing, transcoding between different image file formats, and more specialized tasks.

  6. ZIP (file format) - Wikipedia

    en.wikipedia.org/wiki/ZIP_(file_format)

    The .ZIP file format was designed by Phil Katz of PKWARE and Gary Conway of Infinity Design Concepts. The format was created after Systems Enhancement Associates (SEA) filed a lawsuit against PKWARE claiming that the latter's archiving products, named PKARC, were derivatives of SEA's ARC archiving system. [3]

  7. Nonlinear dimensionality reduction - Wikipedia

    en.wikipedia.org/wiki/Nonlinear_dimensionality...

    Nonlinear dimensionality reduction, also known as manifold learning, is any of various related techniques that aim to project high-dimensional data, potentially existing across non-linear manifolds which cannot be adequately captured by linear decomposition methods, onto lower-dimensional latent manifolds, with the goal of either visualizing ...

  8. Starbucks - Wikipedia

    en.wikipedia.org/wiki/Starbucks

    During the fall of 2007, Starbucks also began to sell digital downloads of certain albums through iTunes. Starbucks gave away 37 different songs for free download through iTunes as part of the "Song of the Day" promotion in 2007, and a free "Pick of the Week" download is available from the App Store. [372] [373]

  9. Gamma distribution - Wikipedia

    en.wikipedia.org/wiki/Gamma_distribution

    Indeed, we know that if X is an exponential r.v. with rate λ, then cX is an exponential r.v. with rate λ/c; the same thing is valid with Gamma variates (and this can be checked using the moment-generating function, see, e.g.,these notes, 10.4-(ii)): multiplication by a positive constant c divides the rate (or, equivalently, multiplies the scale).

  1. Related searches lossless scaling 2.9 github project in python download pdf format for windows 10

    downscale image scalingimage scaling algorithms