Search results for "Linear reconstruction"

showing 2 items of 2 documents

Multiresolution based on weighted averages of the hat function I: Linear reconstruction techniques

1998

In this paper we analyze a particular example of the general framework developed in [A. Harten, {\it SIAM J. Numer. Anal}., 33 (1996) pp. 1205--1256], the case in which the discretization operator is obtained by taking local averages with respect to the hat function. We consider a class of reconstruction procedures which are appropriate for this multiresolution setting and describe the associated prediction operators that allow us to climb up the ladder from coarse to finer levels of resolution. In Part I we use data-independent (linear) reconstruction techniques as our approximation tool. We show how to obtain multiresolution transforms in bounded domains and analyze their stability with r…

Numerical AnalysisMathematical optimizationDiscretizationApplied Mathematicscomputer.software_genreComputational MathematicsMultiscale decompositionOperator (computer programming)Bounded functionApplied mathematicsClimbComputer Aided DesignDecomposition method (constraint satisfaction)Linear reconstructioncomputerMathematics
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On using prototype reduction schemes to optimize locally linear reconstruction methods

2012

Authors version of an article published in the journal: Pattern Recognition. Also available from the publisher at: http://dx.doi.org/10.1016/j.patcog.2011.06.021 This paper concerns the use of prototype reduction schemes (PRS) to optimize the computations involved in typical k-nearest neighbor (k-NN) rules. These rules have been successfully used for decades in statistical pattern recognition (PR) [1,15] applications and are particularly effective for density estimation, classification, and regression because of the known error bounds that they possess. For a given data point of unknown identity, the k-NN possesses the phenomenon that it combines the information about the samples from a pri…

VDP::Mathematics and natural science: 400::Information and communication science: 420::Knowledge based systems: 425prototype reduction schemes (PRS)VDP::Technology: 500::Information and communication technology: 550k-nearest neighbor (k−NN) learninglocally linear reconstruction (LLR)
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