• In statistics, the projection matrix ( P ) {\displaystyle (\mathbf {P} )} , sometimes also called the influence matrix or hat matrix ( H ) {\displaystyle...
    13 KB (1,831 words) - 21:07, 14 April 2025
  • Thumbnail for Projection (linear algebra)
    223  A projection matrix that is not an orthogonal projection matrix is called an oblique projection matrix. The eigenvalues of a projection matrix must...
    34 KB (5,806 words) - 14:46, 17 February 2025
  • Thumbnail for 3D projection
    A 3D projection (or graphical projection) is a design technique used to display a three-dimensional (3D) object on a two-dimensional (2D) surface. These...
    32 KB (4,363 words) - 20:02, 21 March 2025
  • simply by a matrix. However, perspective projections are not, and to represent these with a matrix, homogeneous coordinates can be used. The matrix to rotate...
    24 KB (3,815 words) - 21:08, 14 April 2025
  • Thumbnail for Vector projection
    vector projection (also known as the vector component or vector resolution) of a vector a on (or onto) a nonzero vector b is the orthogonal projection of...
    13 KB (1,720 words) - 06:13, 23 April 2025
  • Thumbnail for Orthographic projection
    The inversion of the projection matrix P−1, which can be used as the unprojection matrix is defined: P − 1 = [ right − left 2 0 0...
    12 KB (1,668 words) - 00:11, 6 December 2024
  • Thumbnail for Transformer (deep learning architecture)
    Meanwhile, the value projection matrix W V {\displaystyle W^{V}} , in combination with the part of the output projection matrix W O {\displaystyle W^{O}}...
    106 KB (13,091 words) - 21:14, 29 April 2025
  • In computer vision a camera matrix or (camera) projection matrix is a 3 × 4 {\displaystyle 3\times 4} matrix which describes the mapping of a pinhole camera...
    12 KB (2,083 words) - 03:23, 28 June 2023
  • camera projection matrices of two cameras are used to calculate the 3D world coordinates of a point viewed by both cameras. The camera projection matrix is...
    15 KB (2,251 words) - 22:57, 23 November 2024
  • Thumbnail for Ordinary least squares
    X(XTX)−1XT is the projection matrix onto the space V spanned by the columns of X. This matrix P is also sometimes called the hat matrix because it "puts...
    65 KB (9,135 words) - 15:20, 12 March 2025
  • Thumbnail for Cross product
    computer programming. It should not be confused with the dot product (projection product). The magnitude of the cross product equals the area of a parallelogram...
    75 KB (11,578 words) - 19:53, 1 May 2025
  • aii is 1 if the ith point is fixed and 0 otherwise. The trace of a projection matrix is the dimension of the target space. P X = X ( X T X ) − 1 X T ⟹...
    37 KB (5,564 words) - 10:16, 1 May 2025
  • {\displaystyle A} ⁠ is an orthogonal projection matrix, then its pseudoinverse trivially coincides with the matrix itself, that is, A + = A {\displaystyle...
    47 KB (7,644 words) - 15:51, 13 April 2025
  • M_{X_{1}}} projects onto the orthogonal complement of the image of the projection matrix X 1 ( X 1 T X 1 ) − 1 X 1 T {\displaystyle X_{1}(X_{1}^{\mathsf...
    9 KB (1,045 words) - 09:06, 24 February 2025
  • Thumbnail for List of named matrices
    matrices used in mathematics, science and engineering. A matrix (plural matrices, or less commonly matrixes) is a rectangular array of numbers called entries...
    32 KB (1,336 words) - 21:01, 14 April 2025
  • Thumbnail for ELMo
    backward LSTM layers) are concatenated and multiplied by a linear matrix ("projection matrix") to produce a 512-dimensional representation per input token...
    7 KB (893 words) - 12:07, 26 March 2025
  • regression analysis, a design matrix, also known as model matrix or regressor matrix and often denoted by X, is a matrix of values of explanatory variables...
    9 KB (1,591 words) - 21:03, 14 April 2025
  • {\displaystyle C_{n}\,} is an orthogonal projection matrix. That is, C n v {\displaystyle C_{n}\mathbf {v} } is a projection of v {\displaystyle \mathbf {v} \...
    5 KB (959 words) - 21:02, 14 April 2025
  • camera and projection matrix are usually combined into a transformation matrix so that the camera coordinate system is omitted. The resulting matrix is usually...
    28 KB (4,381 words) - 12:15, 23 February 2025
  • N}} is the projection of the data onto a lower k-dimensional subspace. Random projection is computationally simple: form the random matrix "R" and project...
    14 KB (1,829 words) - 17:45, 18 April 2025
  • position is transformed by the model-view-projection matrix). Because of that, the corresponding texture matrix can be used to "shift" the eye properties...
    4 KB (587 words) - 03:22, 3 September 2024
  • Thumbnail for Back-face culling
    this method in projection space by representing the above inequality as a determinant of a matrix and applying the projection matrix to it. Another method...
    10 KB (1,400 words) - 02:08, 9 March 2025
  • ^{\mathsf {T}}\mathbf {X} )^{-1}\mathbf {X} ^{\mathsf {T}}} is the projection matrix (or hat matrix). The i {\displaystyle i} -th diagonal element of H {\displaystyle...
    22 KB (3,666 words) - 09:44, 13 March 2025
  • Thumbnail for Knowledge graph embedding
    representation of the head and tail need to be projected using a relational projection matrix on the correct hyperplane of the relation. TransR: A modification...
    52 KB (5,948 words) - 06:20, 19 April 2025
  • hidden representations in the linear subspace spanned by a low-rank projection matrix. LoReFT can be seen as the representation-based equivalent of Low-rank...
    13 KB (1,304 words) - 23:16, 14 March 2025
  • n ) {\displaystyle w\in \mathbf {Gr} (k,\mathbf {R} ^{n})} to the projection matrix P w := ∑ i = 1 k w i w i T , {\displaystyle P_{w}:=\sum _{i=1}^{k}w_{i}w_{i}^{T}...
    48 KB (8,402 words) - 18:28, 30 April 2025
  • \mathbf {P} :=\mathbf {I} -\mathbf {X} _{1}\mathbf {X} _{1}^{+}} is a projection matrix. Following the constrained estimation of β ^ 2 {\displaystyle {\hat...
    5 KB (664 words) - 13:24, 10 April 2025
  • Thumbnail for Transpose
    transpose of a matrix is an operator which flips a matrix over its diagonal; that is, it switches the row and column indices of the matrix A by producing...
    20 KB (2,550 words) - 21:08, 14 April 2025
  • matrix used in BERT: The three attention matrices are added together element-wise, then passed through a softmax layer and multiplied by a projection...
    31 KB (3,528 words) - 01:20, 29 April 2025
  • {T} }]y=y^{\operatorname {T} }[I-H]y} , where H is the hat matrix, or the projection matrix in linear regression. The least-squares regression line is...
    6 KB (1,055 words) - 08:31, 1 March 2023