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robust algorithm

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  • Algorithm engineering — is a combination of theoretical algorithm design with real world data. By taking an algorithm and combining it with a hardware device connected to the real world, you are able to more accurately verify and validate the algorithm results and… …   Wikipedia

  • Robust real-time object detection — The Viola and Jones Object Detection Framework is the first object detection framework to provide competitive object detection rates in real time. [ [http://research.microsoft.com/ viola/Pubs/Detect/violaJones IJCV.pdf Viola, Jones: Robust Real… …   Wikipedia

  • Root-finding algorithm — A root finding algorithm is a numerical method, or algorithm, for finding a value x such that f(x) = 0, for a given function f. Such an x is called a root of the function f. This article is concerned with finding scalar, real or complex roots,… …   Wikipedia

  • Genetic algorithm — A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of… …   Wikipedia

  • Levenberg–Marquardt algorithm — In mathematics and computing, the Levenberg–Marquardt algorithm (LMA)[1] provides a numerical solution to the problem of minimizing a function, generally nonlinear, over a space of parameters of the function. These minimization problems arise… …   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

  • QR algorithm — In numerical linear algebra, the QR algorithm is an eigenvalue algorithm; that is, a procedure to calculate the eigenvalues and eigenvectors of a matrix. The QR transformation was developed in 1961 by John G.F. Francis (England) and by Vera N.… …   Wikipedia

  • Kahan summation algorithm — In numerical analysis, the Kahan summation algorithm (also known as compensated summation) significantly reduces the numerical error in the total obtained by adding a sequence of finite precision floating point numbers, compared to the obvious… …   Wikipedia

  • CURE data clustering algorithm — CURE (Clustering Using REpresentatives) is an efficient data clustering algorithm for large databases that is more robust to outliers and identifies clusters having non spherical shapes and wide variances in size. Contents 1 Drawbacks of… …   Wikipedia

  • Evolutionary algorithm — In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population based metaheuristic optimization algorithm. An EA uses some mechanisms inspired by biological evolution: reproduction,… …   Wikipedia

  • Nested sampling algorithm — The nested sampling algorithm is a computational approach to the problem of comparing models in Bayesian statistics, developed in 2004 by physicist John Skilling.[1] Contents 1 Background 2 Applications 3 …   Wikipedia

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