parameters
91Interprocedural optimization — (IPO) is a compiler technique used in computer programming to improve performance in programs containing many frequently used functions of small or medium length. IPO differs from other compiler optimization because it analyzes the entire… …
92One-shot learning — is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object categorization algorithms require training on hundreds or thousands of images and very large datasets, one shot… …
93Neural modeling fields — Neural modeling field (NMF) is a mathematical framework for machine learning which combines ideas from neural networks, fuzzy logic, and model based recognition. It has also been referred to as modeling fields, modeling fields theory (MFT),… …
94Systemzustand während der Nuklearkatastrophe von Fukushima — Während der Nuklearkatastrophe von Fukushima wurden im Kernkraftwerk Fukushima Daiichi verschiedene Daten und Messwerte zum Zustand der Kraftwerkssysteme erfasst. Sie zeigen, wie die üblichen Werte des Normalbetriebs im Zeitverlauf überschritten… …
95Mathematical model — Not to be confused with the same term that is used in model theory, a branch of mathematical logic. An artifact that is used to illustrate a mathematical idea may also be called a mathematical model, the usage of which is the reverse of the sense …
96Polarization — ( Brit. polarisation) is a property of waves that describes the orientation of their oscillations. For transverse waves, it describes the orientation of the oscillations in the plane perpendicular to the wave s direction of travel. Longitudinal… …
97Least 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… …
98Technicolor (physics) — Beyond the Standard Model Standard Model …
99Hough transform — The Hough transform (pronEng|ˈhʌf, rhymes with tough ) is a feature extraction technique used in image analysis, computer vision, and digital image processing. [Shapiro, Linda and Stockman, George. “Computer Vision,” Prentice Hall, Inc. 2001] The …
100RANSAC — is an abbreviation for RANdom SAmple Consensus . It is an iterative method to estimate parameters of a mathematical model from a set of observed data which contains outliers. It is a non deterministic algorithm in the sense that it produces a… …
