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searching for Gram matrix 12 found (36 total)

Semidefinite embedding (1,572 words) [view diff] exact match in snippet view article find links to article

} The objective function can be rewritten purely in the form of the Gram matrix: T ( Y ) = 1 2 N ∑ i , j | Y i − Y j | 2 = 1 2 N ∑ i , j ( Y i 2 + Y

Proto-value function (1,082 words) [view diff] exact match in snippet view article find links to article

{\displaystyle S_{M}^{G}=\left\{s_{1},\dots ,s_{m}\right\}} . Define the gram matrix K G = ( Φ m G ) T Φ m G . {\displaystyle K_{G}=\left(\Phi _{m}^{G}\right)^{T}\Phi

Kernel embedding of distributions (9,756 words) [view diff] exact match in snippet view article find links to article

potentially infinite-dimensional RKHS can be implemented in practice as simple Gram matrix operations Dimensionality-independent rates of convergence for the empirical

Low-rank matrix approximations (2,863 words) [view diff] exact match in snippet view article find links to article

In the kernel method the data is represented in a kernel matrix (or, Gram matrix). Many algorithms can solve machine learning problems using the kernel

Correlogram (1,389 words) [view diff] exact match in snippet view article find links to article

{Y}}\end{bmatrix}}\in \mathbb {R} ^{n\times N}} We then compute the Gram matrix Q = X ⊤ X {\displaystyle Q=X^{\top }X} . Finally, c h {\displaystyle

Two-dimensional singular-value decomposition (518 words) [view diff] exact match in snippet view article find links to article

In PCA/SVD, we construct covariance matrix F {\displaystyle F} and Gram matrix G {\displaystyle G} F = X X T {\displaystyle F=XX^{\mathsf {T}}} , G

Numerical linear algebra (2,507 words) [view diff] exact match in snippet view article find links to article

to the square roots of the absolute values of the eigenvalues of the Gram matrix X ∗ X {\displaystyle X^{*}X} . And if A = LU is an LU factorization of

Lenstra–Lenstra–Lovász lattice basis reduction algorithm (2,128 words) [view diff] exact match in snippet view article find links to article

the package LLLBases Magma as the functions LLL and LLLGram (taking a gram matrix) Maple as the function IntegerRelations[LLL] Mathematica as the function

Radial basis function kernel (1,160 words) [view diff] exact match in snippet view article find links to article

uses the Nyström method to approximate the eigendecomposition of the Gram matrix K, using only a random sample of the training set. Gaussian function

Polynomial SOS (1,886 words) [view diff] exact match in snippet view article find links to article

whether a form is SOS via an LMI. This representation is also known as Gram matrix. Consider the form of degree 4 in two variables h ( x ) = x 1 4 − x 1

Smith–Minkowski–Siegel mass formula (2,801 words) [view diff] exact match in snippet view article find links to article

{\displaystyle X^{\text{tr}}AX\equiv A\ {\bmod {\ }}p^{r}} where A is the Gram matrix of f, or in other words the order of the automorphism group of the form

Point-set registration (9,086 words) [view diff] exact match in snippet view article find links to article

the algorithm can be accelerated regardless of the Gaussianity of a Gram matrix to define motion coherence, (3) the algorithm is more robust against