generalized gradient
21Least squares — The method of least squares is a standard approach to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. Least squares means that the overall solution minimizes the sum of… …
22Histogram of oriented gradients — Histogram of Oriented Gradient descriptors, or HOG descriptors, are feature descriptors used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized… …
23Scale-invariant feature transform — Feature detection Output of a typical corner detection algorithm …
24List of numerical analysis topics — This is a list of numerical analysis topics, by Wikipedia page. Contents 1 General 2 Error 3 Elementary and special functions 4 Numerical linear algebra …
25Hypoxia (medical) — Hypoxia ICD 9 799.02 MeSH D000860 Hypoxia, or hypoxiation, is a pathological condition in which the body as a whole (generalized hypoxia) or a region of the body (tissue hypoxia) is deprived of adequate ox …
26Pachygyria — DiseaseDisorder infobox Name = Pachygyria ICD10 = ICD10|Q|04|3|q|00 ICD9 = Pachygyria (from the Greek pachy meaning thick or fat gyri) is a congenital malformation of the cerebral hemisphere. It results in unusually thick convolutions of the… …
27Laplace operator — This article is about the mathematical operator. For the Laplace probability distribution, see Laplace distribution. For graph theoretical notion, see Laplacian matrix. Del Squared redirects here. For other uses, see Del Squared (disambiguation) …
28Gauss–Newton algorithm — The Gauss–Newton algorithm is a method used to solve non linear least squares problems. It can be seen as a modification of Newton s method for finding a minimum of a function. Unlike Newton s method, the Gauss–Newton algorithm can only be used… …
29Гистограмма направленных градиентов — (англ. Histogram of Oriented Gradients, HOG) – дескрипторы особых точек, которые используются в компьютерном зрении и обработке изображений с целью распознавания …
30Non-linear least squares — is the form of least squares analysis which is used to fit a set of m observations with a model that is non linear in n unknown parameters (m > n). It is used in some forms of non linear regression. The basis of the method is to… …
