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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 lossless compression, a newer algorithm unrelated to VP8, was designed by Google software engineer Jyrki Alakuijala. It uses advanced techniques such as dedicated entropy codes for different color channels, exploiting 2D locality of backward reference distances and a color cache of recently used colors.

  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. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]

  6. 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.

  7. Nonlinear dimensionality reduction - Wikipedia

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

    These methods all fall under the broader class of metric multidimensional scaling. The variations tend to be differences in how the proximity data is computed; for example, isomap, locally linear embeddings, maximum variance unfolding, and Sammon mapping (which is not in fact a mapping) are examples of metric multidimensional scaling methods.

  8. Comparison of version-control software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_version...

    hg, subversion, [51] lossless two-way push to and pull from git, [52] migration from any other format supported by the Convert extension: [53] CVS, Darcs, Bazaar, Monotone, GNU Arch, and Perforce [54] No Perforce Helix Core: Yes [55] No No Yes Yes Yes [55] Yes [55] Perforce No Rational Team Concert: No Yes Yes Yes Yes Un­known Yes N/A No ...

  9. Scale-free network - Wikipedia

    en.wikipedia.org/wiki/Scale-free_network

    A scale-free network is a network whose degree distribution follows a power law, at least asymptotically.That is, the fraction P(k) of nodes in the network having k connections to other nodes goes for large values of k as