Weighting Function
Estimation of Opacity and Weighting Function in the Range of 58 Degree North Through 45 Degree South
... Keeping all these in mind, the present authors attempted to find out the opacity and water vapor weighting function at 22.234 GHz and 23.834 GHz over the globe in the range of 58 degree North through 45 ...
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Bayer patterned high dynamic range image reconstruction using adaptive weighting function
... new weighting function is proposed to combine the Bayer patterned LDR (BP-LDR) ...proposed weighting function is designed so that each of the BP-LDR images independently covers each corre- ...
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Improved Non Local Means Algorithm for Image Denoising
... The non-local means algorithm has attracted much attention and more and more researchers pay attention to the weighting function. The original non-local means algorithm uses the exponential decaying ...
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Retrieval of water vapor vertical distributions in the upper troposphere and the lower stratosphere from SCIAMACHY limb measurements
... source function at each point along the instrument line of ...(2001). Weighting functions for trace gas number densities are calculated solving the lin- earized radiative transfer equation (Rozanov and ...
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Functional derivatives applied to error propagation of uncertainties in topography to large-aperture scintillometer-derived heat fluxes
... Figure 5. Graphical visualization of the fixed-point solution of Eq. (24). The recursively defined series [ ˘ F (ζ guess ), F ( ˘ F (ζ ˘ guess )), F ( ˘ F ( ˘ F (ζ ˘ guess ))), . . . ] converges mono- tonically for any ζ ...
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“Luce problem” and discontinuity of Prelec’s function at p = 1
... Nevertheless, the “Luce problem” and “question” are still underestimated. For example, we see in Diecidue, Schmidt, and Zank (2009), page 1105: “the weighting function w: [0, 1]→[0, 1] is strictly ...
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On the application of extreme interaction torque with an underactuated UAV
... cost function and returns an optimal homogeneous transforma- tion matrix and input ...a weighting function, which allows to assign priority to certain force or torque elements in the application ...
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Tackling Temporal Effects in Automatic Document Classification
... Instance selection approaches may be considered too rigid since they may miss valuable information laying outside of the window. This motivates the use of instance weighting approaches. Following this direction, ...
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Problems of utility and prospect theories Certainty effect near certainty
... Prelec’s weighting function W(p) is equal to 1 at p = 1, by the purely mathematical restrictions and the “certain–uncertain” inconsistency of the random– lottery incentive ...
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An integrated flask sample collection system for greenhouse gas measurements
... Fig. 4. Test of weighting function. Cylinder air at room pressure was flowed through the integrating system at the indicated flow rates (blue). Note that the flow rates in this experiment were slightly dif- ...
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An improved dissipative particle dynamics scheme
... dissipative weighting function (or a new kernel) into the DPD (or the sDPD) equations which allows both the viscosity and the Schmidt number of the model fluids to be controlled, and compare the numerical ...
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On the cost of misperceived travel time variability
... Prelec weighting function are the true ones associated with its certainty equivalent, we can decompose the mixture of type i and type ii error into two term: (i) the difference between reliability ratios ...
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Enhancing the Performance of Fixed-Structure Robust Loop Shaping Control using Genetic Algorithm Approach
... loop shaping controller and weighting function at the same time. In this paper, GA is employed to find the parameters of the weighting functions which can to defined performance of the proposed ...
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Scattering error corrections for in situ absorption and attenuation measurements
... phase function is an area requiring further study ...scattering weighting function that was derived for water where multiple scattering is not ...
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Title: Analysis of MRI Image De-noising Technique
... noise weighting function and ...kernel function in NL-means algorithm to denoise the medical image, and furthermore propose a GPU-based parallel non-local means denoising ...
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A kinetic theory description for external spherical flows with arbitrary Knudsen number by a moment method
... Lees suggested that the distribution function in the Maxwell integral equation of transfer b e represented by a weighting function expressed in terms of a number of parametric functions [r] ...
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Problems of utility and prospect theories A ”certain uncertain” inconsistency of the random lottery incentive system
... probability weighting function of certain and uncertain ...probability weighting function W(p) are specified: W Certain for the certain outcome and W(1), as the limit of the probability ...
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A knowledge light approach to regression using case based reasoning
... Designing a good similarity metric involves answering the following question: What does it mean to say that two cases are similar? For our purposes, the answer is that a stored case is similar to the query if its ...
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Continuous multi task Bayesian optimisation with correlation
... expensive function, or contextual multi-armed bandit problems or time dependent problems, we consider the problem of directly optimising multiple tasks simultaneously, where there is a distribution of ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... Previous research on image similarity retrieval based on the extraction of features, i.e. shapes, colors and textures, was done by ignoring the values of those features and clustering with the similarity accuracy results ...
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