- feature extraction method
- метод извлечения (выделения) характерных признаков
Англо-русский словарь по компьютерной безопасности. Академик.ру. 2011.
feature extraction method
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Feature detection (computer vision) — In computer vision and image processing the concept of feature detection refers to methods that aim at computing abstractions of image information and making local decisions at every image point whether there is an image feature of a given type… … Wikipedia
Feature (computer vision) — In computer vision and image processing the concept of feature is used to denote a piece of information which is relevant for solving the computational task related to a certain application. More specifically, features can refer to* the result of … Wikipedia
Scale-invariant feature transform — Feature detection Output of a typical corner detection algorithm … Wikipedia
Feature recognition — The term feature does not imply the same meaning in different engineering disciplines. This has resulted in several ambiguous definitions for feature. A feature, in computer aided design (CAD) software, can be called a region of a part with some… … Wikipedia
Shale oil extraction — Shell s experimental in situ shale oil facility, Piceance Basin, Colorado, United States Process type Chemical Industrial sector(s) Chemical industry, oil indus … Wikipedia
Oil shale extraction — is an industrial process in which kerogen mdash;a mixture of organic chemical compounds (including hydrocarbons) found in oil shale mdash;is converted into synthetic crude oil through pyrolysis. In pyrolysis, oil shale is heated in the absence of … Wikipedia
Intact dilation and extraction — (IDX, intact D X, et al.) Background Abortion type Surgical First use 1983 Gestation >16 weeks Usage United States 0.17% ( … Wikipedia
Scale-invariant feature transform — Exemple de résultat de la comparaison de deux images par la méthode SIFT (Fantasia ou Jeu de la poudre, devant la porte d’entrée de la ville de Méquinez, par Eug … Wikipédia en Français
Minimum redundancy feature selection — is an algorithm frequently used in a method to accurately identify characteristics of genes and phenotypes and narrow down their relevance and is usually described in its pairing with relevant feature selection as Minimum Redundancy Maximum… … Wikipedia
Auto-encoder — An auto encoder is an artificial neural network used for learning efficient codings.The aim of an auto encoder is to learn a compressed representation (encoding) for a set of data.This means it is being used for dimensionality reduction. More… … Wikipedia
Pseudo-Zernike polynomials — In mathematics, Pseudo Zernike polynomials are well known and widely used in the analysis of optical systems. They are also widely used in image analysis as region descriptors. Definition They are an orthogonal set of complex valued… … Wikipedia
