Synthetic shapes from the statistical model
SHAPES OF MOLECULES (VSEPR MODEL)
... occurs from the overlap of atomic orbitals, one would naïvely think that the carbon would form only two bonds coming from the overlap of the two 2p electrons with orbitals from other ...
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Precision of continuous GPS velocities from statistical analysis of synthetic time series
... This empirical calibration is not possible on real data, but considering that our synthetic data are representative of real data with the previous cautions, we can use this parameter- ization. In using 1d = 20 ...
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Phase Statistical Model and Correction in Imagery of Ground Based Synthetic Aperture Radar (GBSAR) for Land Deformation Monitoring
... ground-based synthetic aperture radar (GBSAR) as a tool to monitor the high-risk area, which is prone to landslide ...empirical model for interferometric phase ...
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Geometric, Statistical, and Topological Modeling of Intrinsic Data Manifolds: Application to 3D Shapes.
... Chapter 5 Squigraphs for Geometric Modeling We propose to superpose global topological and local geometric 3D shape descrip- tors in order to define one compact and discriminative representation for a 3D object. While a ...
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Extracting statistical parameters of extreme precipitation from a NWP model
... If Fig. 1 is compared to a topographic map of Iceland it reveals that the computational net is rather coarse compared to many landscape features that may be expected to have an effect on the atmospheric flow. This can ...
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Statistical analysis of Synthetic Aperture Radar (SAR) image speckle
... Abstract Synthetic aperture radar (SAR) is an active imaging system that can achieve high resolutions both in range and ...waves from the imaged surface at different ...waves from illuminated area of ...
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Reconstruction and Analysis of Shapes from 3D Scans
... incomplete model is PCA normalized by using its center of mass as the coor- dinate system’s origin and its principal axes of variation as the coordinate system’s ...incomplete model with most vertices is ...
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A statistical algorithm for comparing mode shapes of vibration testing before and after damage in timbers
... Over the past 30 years, damage detection in structures has received considerable attention from the civil, aero- space, mechanical engineering, and wood engineering com- munities. Commonly used damage detection ...
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Analysis of statistical model properties from discrete nuclear structure data
... compiled from ex- perimental data in the Evaluated Nuclear Structure Data File (ENSDF) and the Evaluated Gamma-ray Activation File ...recovered from the ENSDF and EGAF ...1000 from 0 to 16 ...derived ...
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Personal Identification from Lip Print Features using a Statistical Model
... This paper presents a novel approach towards identification of human beings from the statistical analysis of their lip prints. Lip features are extracted by studying the spatial orientations of the grooves ...
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Nuclear Phase Transition from Spherical to Axially Symmetric Deformed Shapes Using Interacting Boson Model
... boson model (sd-IBM1) with intrinsic coherent state is used to study the shape phase transitions from spherical U(5) to prolate deformed SU(3) shapes in Nd- Sm isotopic ...best model ...
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Learning from Synthetic Humans
... our model on more challenging ...Our model generalizes rea- sonably well, except when there are multiple people close to each other and extreme viewpoints, which have not ap- peared during ...cloth ...
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Decolorisation of synthetic dye by Guava (Psidiumguajava) leaf powder – A statistical approach
... Guava (Psidiumguajava) leaf powder was used as an adsorbent to remove a synthetic dye Coomassie Brilliant Blue. A two level full-factorial design of three factors namely, pH, adsorbent dosage and temperature were ...
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Simulation model comparing the hydroperiod of temporary ponds with different shapes
... Simulation model comparing the hydroperiod of temporary ponds with different shapes A model of the water dynamics for shallow, small and temporary Mediterranean ponds has been developed taking into ...
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The Sensitivity of Econometric Model Fit under Different Distributional Shapes
... Selection model, with income being the excluded ...GLM. From Table 4.52, the simulated distribution from CDE is much closer to the observed distribution in all aspects of the summary ...distribution ...
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Cell proliferation in the attainment of constant sizes and shapes: the Entelechia model
... results from preferential allocation of postmitotic cells in the proximo- distal axis, perhaps because differences in positional values are smaller along that axis than along the antero-posterior axis in vein ...
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A Markov random field model for extracting near-circular shapes.
... MRF model fails to separate trees from background vegetation because they have similar inten- sity ...our model, controlling the approximate radius of the detected trees, must be set correctly in ...
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A Recursive Statistical Translation Model
... obtained from the alignments, the first weight was the probability assigned to it by MAR, the second weight was the count for the template, ...plates from the ...obtained from the stochastic ...
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Statistical Model For Risk Estimation
... generalized model for risk evaluation or odds ratio for death due to cardiovascular disease and other cancer due to ionizing ...obtained from the Radiation Effects Research Foundation (RERF), Hiroshima and ...
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Resonances and fluctuations in the statistical model
... gauge, from experimental observables, whether hadronization is where particle abundances are fixed once and for all, or whether further dynamical evolution also impacts such ...
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