The ‘Map potential’ convection fitting algorithm
A genetic algorithm for face fitting
... A number of techniques make use of shape-from- shading, solving a partial differential equation linking the image intensity to the reflectance map based on the assumption that the surface is Lambertian. Patel and ...
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Algorithm for multi-curve-fitting with shared parameters and a possible application in evoked compound action potential measurements
... The introduced method can be used as a tool to help sep- arate the ECAP signal from these undesired components. One way to do so is to fit just the artefact (without the ECAP) along with the system effects and subtract ...
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An assessment of the “map-potential” and “beam-swinging” techniques for measuring the ionospheric convection pattern using data from the SuperDARN radars
... the map- potential ...the map-potential technique, as described in Shepherd and Ruohoniemi ...the map-potential and merging tech- ...the map-potential technique ...
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Parallelization of a finite element surface fitting algorithm for data mining
... Therefore, they can benefit significantly from a fast surface fitting algorithm. Two digital elevation data sets are obtained by digitizing the map of the Murrumbidgee region in Australia. They have ...
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Map/Reduce Affinity Propagation Clustering Algorithm
... With the rapid speed of internet development, people get more focus on the Big Data issue. Big Data is a collection of data set so large that it becomes difficult to analyze. One of the common methods that help analyzing ...
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Non reproducible alignment and fitting algorithm effects on Laser Radar measurement
... Fig. 7: Comparison of standard deviations for fitting patterns IV. C ONCLUSION The alignment procedure could determine the coordinate system locations relative to the workpiece. Any variability in the coordinate ...
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Lossless Data Compression Using Rice Algorithm Based On Curve Fitting Technique
... © 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 1537 Fig: 2.1 Rice Algorithm 2.1 The Preprocessor The preprocessing is done by using a unit delay followed by a prediction error ...
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VERDICT-AMICO: Ultrafast fitting algorithm for non-invasive prostate microstructure characterization.
... One possible explanation for the enhanced conspicuity could be a decreased inter ‐cell space and increased tortuosity, which is consistent with a higher partial volume of epithelial cells and loss of lumen space. 11 ...
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Evaluations of small area composite estimators based on the iterative proportional fitting algorithm
... IPF algorithm delivers a set of reweighted survey cases where the number of weighted individuals in total and in the specified categories of the constraint fits to the profile of each target small area, with each ...
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Evaluations of small area composite estimators based on the iterative proportional fitting algorithm
... IPF algorithm delivers a set of reweighted survey cases where the number of weighted individuals in total and in the specified categories of the constraint fits to the profile of each target small area, with each ...
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Apriori-Map/Reduce Algorithm
... –Map/Reduce algorithm has received highlights as cloud computing services with Hadoop frameworks were ...corresponding Map/Reduce algorithms. The paper presents Map/Reduce algorithm of ...
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A Minimax Fitting Algorithm for Ultra-Precision Aspheric Surfaces
... In this paper the form errors of aspheric surfaces are evaluated in the sense of minimum zone, i.e. to directly minimize the peak-to-valley deviation from the data points to the nominal surface. A powerful heuristic ...
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A Minimax Fitting Algorithm for Ultra Precision Aspheric Surfaces
... In this paper the form errors of aspheric surfaces are evaluated in the sense of minimum zone, i.e. to directly minimize the peak-to-valley deviation from the data points to the nominal surface. A powerful heuristic ...
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Travelling convection vortices in the ionosphere map to the central plasma sheet
... 2.3 Event 3 A very detailed study of a TCV event on 6 January 1992 is presented by Lu¨hr et al. (1996). The map of stations used for this study is shown in Fig. 3a. The locations of the TCV centres, which are ...
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An off-line map-matching algorithm for incomplete map databases
... the algorithm will pick only the best N candidates of the new set, it passes to the following trace point and does everything all over ...This algorithm has some additional mechanisms that permits breaking ...
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Inferential Optimization for Simultaneous Fitting of Multiple Components into a CryoEM Map of Their Assembly
... for fitting multiple compo- nents into an assembly map has been ...by fitting of the largest compo- nent into the map, followed by iterative fitting of the largest remaining component ...
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Keywords: Subgradient extragradient algorithm, monotone map, relatively nonexpansive map, Lipschitz map.
... tive algorithm for finding a common element of the set of solutions of variational inequalities for monotone and Lipschitz continuous mappings and the set of fixed points of a relatively nonexpansive mapping in a ...
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Security Algorithm for Cryptosystems chaotic map
... chaotic algorithm uses, XOR or XNOR is the basic technique for ...the algorithm we propose a higher dimensional chaotic map ...cat map is a good candidate for permutation, thus it is extended ...
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Map Matching Algorithm: Trajectory and Sequential Map Analysis on Road Network
... scenario. Map matching finding a path between available points on the active road segment, enhance road data accuracy through minimize frechet distance for future ...fast map matching ...sequential ...
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A Linear Fitting Density Peaks Clustering Algorithm for Image Segmentation
... peaks algorithm (DPC) is a recently developed method and can obtain promising ...novel algorithm, namely LDPC (Linear fitting Density Peaks Clustering ...linear fitting method to choose ...
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