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searching for Moment matrix 10 found (18 total)

Structure tensor (5,184 words) [view diff] exact match in snippet view article find links to article

In mathematics, the structure tensor, also referred to as the second-moment matrix, is a matrix derived from the gradient of a function. It describes the

Linear belief function (3,808 words) [view diff] exact match in snippet view article find links to article

multivariate normal distribution can be equivalently represented as a moment matrix: M(X)=(μΣ).{\displaystyle M(X)=\left({\begin{array}{*{20}c}\mu \\\Sigma

Harris affine region detector (7,003 words) [view diff] exact match in snippet view article find links to article

through a clever decomposition, the Harris detector uses the second moment matrix as the basis of its corner decisions. (See corner detection for a more

Affine shape adaptation (1,597 words) [view diff] exact match in snippet view article find links to article

accomplished from measurements of the same multi-scale windowed second moment matrix μ {\displaystyle \mu } as is used in the multi-scale Harris operator

Neural network Gaussian process (2,964 words) [view diff] exact match in snippet view article find links to article

_{w}^{2}} and σ b 2 {\displaystyle \sigma _{b}^{2}} , as well as the second moment matrix K l {\displaystyle K^{l}} of the preceding activations y l {\displaystyle

Corner detection (8,962 words) [view diff] exact match in snippet view article find links to article

changing tangent lines to normal lines. The computation of the second moment matrix (sometimes also referred to as the structure tensor) A {\displaystyle

Hessian affine region detector (1,155 words) [view diff] exact match in snippet view article find links to article

detected at multiple scales using the Harris corner measure on the second-moment matrix. The Hessian affine also uses a multiple scale iterative algorithm to

Inverse-Wishart distribution (3,181 words) [view diff] exact match in snippet view article find links to article

{vec} } denotes the matrix vectorization operator. Then the second moment matrix becomes E(W−1⊗W−1)=[u+v+w⋅⋅⋅v⋅⋅⋅v⋅u⋅w⋅⋅⋅⋅⋅⋅⋅u⋅⋅⋅w⋅⋅⋅w⋅u⋅⋅⋅⋅⋅v⋅⋅⋅u+v

Genetic algorithm (8,025 words) [view diff] exact match in snippet view article find links to article

landscape. NA is also good at climbing sharp crests by adaptation of the moment matrix, because NA may maximise the disorder (average information) of the Gaussian

Scale-invariant feature transform (9,143 words) [view diff] exact match in snippet view article find links to article

thresholding is computed from the Hessian matrix instead of a second-moment matrix. In this step, each keypoint is assigned one or more orientations based