scattered data
Scattered data fitting on surfaces using projected Powell-Sabin splines
... Remark 6. To simulate scattered data for our numerical experiments in Sec- tion 4, we generated pseudo-random points uniformly distributed on the test surfaces. For the surface of the sphere we use the ...
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Regularized Minimum Length Method in Scattered Data Interpolation
... interpolating scattered data using the minimum length method, this study chooses new kernel functions from the machine learning technique to implementing this minimum length ...useful scattered ...
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A New Approach for Reconstructed B spline Surface Approximating to Scattered Data Points
... scatted data points of artificial tooth is presented. Firstly, the scattered data points from the laser scanning equipment are regarded as input and the triangle mesh of artificial tooth are created ...
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Scattered data fitting using least squares with interpolation method
... Scattered data fitting is a big issue in numerical ...the scattered data are contaminated by noise, we can use least squares method ...the scattered data are not contaminated, we ...
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A framework for interpolating scattered data using space filling curves
... interpolation. Scattered data-sites are generated by selecting uniformly at random a location on a 2000 × 2000 grid without replacement, this is to ensure that all the data-site locations are ...of ...
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Interpolation and scattered data fitting on manifolds using projected Powell–Sabin splines
... in our methods we only interpolate projected gradients corresponding to the vertices of the underlying triangulation T , compare Steps 3 and 4 of Al- gorithm 4.1. Therefore, our interpolation operator only requires ...
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Towards Outlier Detection For Scattered Data and Mixed Attribute Data
... As we discussed in Chapter 1, existing outlier detection methods are ineffective on scattered real world datasets due to implicit data patterns and parameter setting issues. In this Chapter, we define a ...
133
Adaptive Least Square Approximation For Fitting Scattered Data
... This paper consists in the comparison of two adaptive least square approximation algorithms for fitting scattered data. The first part will present the Knot Insertion and Knot Removal algorithms. The second ...
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Local RBF approximation for scattered data fitting with bivariate splines
... In this paper we continue our earlier research [4] aimed at developing efficient meth- ods of local approximation suitable for the first stage of a spline based two-stage scattered data fitting algorithm. ...
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Scattered data fitting by direct extension of local polynomials to bivariate splines
... }ÿ -ùoúDÿ ?ûüõcÚ}ãÆÇØãÆ... õö éPÆ¥áPÜÚcÚ}ÛÙ Ú}ÛÇéPÆáPÜ7ÚoáÆ.[r] ...
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From scattered data to ideological education: economics, statistics and the state in Ghana, 1948 1966
... raw data, that will eventually become numbers in national income accounts, population censuses and development plans, is usually the outcome of a politically loaded interaction between an observer and an observed ...
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A Solution to the Binding Problem
... Visual data scattered over the cerebral cortex is said in this paper to be read by consciousness as a laser reads a barcode, and consciousness directly converts that read- ing into a visual ...sensory ...
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Association Rule Mining by Block Scattered Transposition
... We have described an algorithm which is not only efficient but also fast for discovering association rules in large databases. An important, contribution of our approach is that it drastically reduces the I/O overhead ...
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Tracking Objects with Networked Scattered Directional Sensors
... We study the problem of object tracking using highly directional sensors—sensors whose field of vision is a line or a line segment. A network of such sensors monitors a certain region of the plane. Sporadically, objects ...
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The Level Set Shape Reconstruction Algorithm Applied to 2D PEC Targets Hidden Behind a Wall
... Most of the above works provided only the contrast of the hidden object with respect to the background medium but did not provide the shape of these targets. Although the current work assumes a priori knowledge of the ...
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A 10 BIT 50 MS/S LOW POWER PIPELINE ADC FOR WIMAX/LTE
... distributed data semantic integration technology within cloud computing platform, mainly focus on how to use the machine automatically analyzing, understanding and handling of user needs and heterogeneous ...
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Tagging High Energy Photons in the H1 Detector at HERA
... Here y is the Bjorken scaling variable defined by y = p · q/p · k and p and k are the four- vectors of the initial proton and electron, respectively. Measuring the energy of the outgoing electron enables the deduction of ...
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On spaces whose nowhere dense subsets are scattered
... a nonempty collection of sets of a space X, 7- closed under heredity and finite additivity, is r-local if 2" contains all subsets of X which are locally in 2", where a subset A is said t[r] ...
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Vol 8, No 10 (2017)
... The problem is two dimensional and plane of propagation is the zx-plane. The x-axis lies along the free surface and z-axis has been taken vertically downward. A solid layer of thickness H ( − H ≤ z ≤ 0 , − ∞ < x < ...
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The economics of the scattered green restoration in cultural landscape
... the scattered greenery, its attaching to the geographical informational systems and its exploitation for the following projects and manage- ment of the ...and data information, levels 5059 botanical ...
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