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  • object recognition via the scale-invariant feature transform. Invariant (mathematics) Inverse square potential Power law Scale-free network Jørgensen, B...
    32 KB (4,486 words) - 01:39, 2 June 2025
  • Thumbnail for Fourier transform
    of the Fourier transform F {\displaystyle {\mathcal {F}}} as long as the form of the equation remains invariant under Fourier transform. In other words...
    177 KB (21,313 words) - 02:31, 2 June 2025
  • features are sometimes made over several scalings. One of these methods is the scale-invariant feature transform (SIFT). Once features have been detected...
    25 KB (2,935 words) - 13:03, 25 May 2025
  • errors, residuals, means and standard deviations, which are hence scale invariant – some of which may be summarized as follows. Note that in terms of...
    12 KB (1,180 words) - 21:28, 25 May 2025
  • spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. Mel-frequency cepstral coefficients...
    15 KB (2,070 words) - 19:25, 10 November 2024
  • can refer to a relativistically invariant classical or quantum theory of scalar fields. A scalar field is invariant under any Lorentz transformation...
    29 KB (4,903 words) - 13:38, 12 June 2025
  • Thumbnail for Principal component analysis
    analysis, visualization and data preprocessing. The data is linearly transformed onto a new coordinate system such that the directions (principal components)...
    117 KB (14,851 words) - 02:19, 10 May 2025
  • &\cdots \\T_{n1}&T_{n2}\cdots T_{nn}\end{bmatrix}}} is invariant in Z(s). That is, all the transformed networks are equivalents according to the definition...
    33 KB (3,538 words) - 11:12, 18 February 2025
  • Thumbnail for Special relativity
    Special relativity (category Pages using multiple image with manual scaled images)
    perform Lorentz transformations to determine the invariants. The coordinate differentials transform also contravariantly: d X μ ′ = Λ μ ′ ν d X ν {\displaystyle...
    187 KB (25,060 words) - 17:11, 15 June 2025
  • Thumbnail for Content-based image retrieval
    may also need to be invariant to translation, rotation, and scale. Some shape descriptors include: Fourier transform Moment invariant Like other tasks in...
    29 KB (3,080 words) - 14:51, 15 September 2024
  • Fourier optics is the study of classical optics using Fourier transforms (FTs), in which the waveform being considered is regarded as made up of a combination...
    73 KB (12,531 words) - 15:38, 25 February 2025
  • Chessboard detection (category Feature detection (computer vision))
    into two main areas: camera calibration and feature extraction. This article provides a unified discussion of the role that chessboards play in the canonical...
    18 KB (2,031 words) - 02:05, 22 January 2025
  • Thumbnail for Mass–energy equivalence
    called invariant mass, is a fundamental physical property of matter, independent of velocity. Massless particles such as photons have zero invariant mass...
    90 KB (11,631 words) - 13:07, 24 May 2025
  • Thumbnail for Optical transfer function
    Optical transfer function (category Pages using multiple image with manual scaled images)
    detailed discussion can be found in and.: 152–153  The one-dimensional optical transfer function can be calculated as the discrete Fourier transform of the...
    43 KB (5,651 words) - 19:56, 2 June 2025
  • Thumbnail for Higgs boson
    symmetry" – Philip Anderson, Nobel Prize Physics Gauge-invariant theories are theories with a useful feature, namely that changes to certain quantities make...
    243 KB (26,531 words) - 11:57, 15 June 2025
  • of the photon structure function. Photons with high photon energy can transform in quantum mechanics to lepton and quark pairs, the latter fragmented...
    16 KB (2,028 words) - 01:15, 19 May 2025
  • Thumbnail for Deep learning
    Deep learning (category Pages using multiple image with auto scaled images)
    learning, machine learning techniques often involved hand-crafted feature engineering to transform the data into a more suitable representation for a classification...
    180 KB (17,775 words) - 21:04, 10 June 2025
  • Ishan; Maaten, Laurens van der (2020). Self-Supervised Learning of Pretext-Invariant Representations. 2020 IEEE/CVF Conference on Computer Vision and Pattern...
    140 KB (15,573 words) - 11:13, 9 June 2025
  • Thumbnail for Wave packet
    even a gaussian function is considered a wave packet because its Fourier transform is a "packet" of waves of frequencies clustered around a central frequency...
    39 KB (5,960 words) - 21:07, 29 May 2025
  • requires the ability to make goal structures invariant under self-improvement (or the AI could transform itself into something unfriendly) and a goal...
    115 KB (12,262 words) - 04:35, 11 June 2025
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