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smoothing algorithm

См. также в других словарях:

  • Smoothing — In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine scale structures/rapid phenomena. Many different… …   Wikipedia

  • Exponential smoothing — is a technique that can be applied to time series data, either to produce smoothed data for presentation, or to make forecasts. The time series data themselves are a sequence of observations. The observed phenomenon may be an essentially random… …   Wikipedia

  • Forward-backward algorithm — In computer science, the forward backward algorithm, a dynamic programming algorithm for computing the probability of a particular observation sequence, given the parameters of the model, operates in the context of hidden Markov models. Overview… …   Wikipedia

  • Gauss–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… …   Wikipedia

  • Ramer–Douglas–Peucker algorithm — The Douglas–Peucker algorithm is an algorithm for reducing the number of points in a curve that is approximated by a series of points. The initial form of the algorithm was independently suggested in 1972 by Urs Ramer and 1973 by David Douglas… …   Wikipedia

  • Ramer-Douglas-Peucker algorithm — The Douglas Peucker algorithm is an algorithm for smoothing curves. The initial form of the algorithm was established in 1973 by David Douglas and Thomas Peucker. Idea The purpose of the algorithm is that given a curve cmposed of line segments to …   Wikipedia

  • Data Smoothing — The use of an algorithm to remove noise from a data set, allowing important patterns to stand out. Data smoothing can be done in a variety of different ways, including random, random walk, moving average, simple exponential, linear exponential… …   Investment dictionary

  • Marr–Hildreth algorithm — In computer vision, the Marr–Hildreth algorithm is a method of detecting edges in digital images, that is continuous curves where there are strong and rapid variations in image brightness. The Marr–Hildreth edge detection method is simple and… …   Wikipedia

  • Laplacian smoothing — is an algorithm to smooth a polygonal mesh. For each vertex in a mesh, a new position is chosen based on local information (such as the position of neighbors) and the vertex is moved there. In the case that a mesh is topologically a rectangular… …   Wikipedia

  • Marr-Hildreth algorithm — In computer vision, the Marr Hildreth algorithm is a method of detecting edges in digital images, that is continuous curves where there are strong and rapid variations in image brightness. The Marr Hildreth edge detection method is simple and… …   Wikipedia

  • Word sense disambiguation — In computational linguistics, word sense disambiguation (WSD) is the process of identifying which sense of a word is used in any given sentence, when the word has a number of distinct senses. For example, consider two examples of the distinct… …   Wikipedia

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