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The local mean-based k-nearest neighbor classifier (LMKNN) was firstly introduced to achieve robustness against outliers by computing the local mean vector of k nearest neighbors for each class.
We approximate the calculation of high local contrast content by computing the local standard deviation.
The solution can be built by computing the local solution along a set of characteristic curves, and thereafter interpolating the travel time between the curves.
The algorithm reduces recursively the output region size by computing the local summation of each 2×2 group of elements in one shader and writing it to the corresponding output location.
First, to estimate the camera noise model parameters (see Section "Camera noise modeling"), we analyze signal-dependent noise in a similar way as in [42], i.e., by computing the local noise standard deviation as a function of the local intensity.
Later, the method was improved by Price [71] by computing the local statistics of the images and by Park et al.[36] in the so-called spatially adaptive algorithm.
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Note that most of the previous work conduct encoding of local measurements by simply computing the local Euclidean distance between sensor readings and codewords.
Sub-diffraction localization of molecules is accomplished by computing the centroid of local neighborhoods, by a radial symmetry approach (Parthasarathy, 2012), or by fitting a suitable PSF model using standard or weighted non-linear least-squares methods, or using maximum-likelihood estimation (Mortensen et al., 2010).
They proposed a clustering-based feature, called fuzzy colour histogram (FCH) to construct the background model by computing the similarity between local FCH features with an online update procedure.
The role of regional mass (oceanic bottom pressure and atmospheric surface pressure) and motion (currents and winds) signals in contributing to global polar motion excitation is also examined by computing the fractional covariance between local and global time series.
Then we iteratively refine an initial saliency map derived from background estimation by computing the feature contrast only within local surrounding area whose range and shape are changed adaptively.
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by computing the average
by computing the Euclidean
by computing the isotypic
by computing the ionic
by computing the absolute
by computing the finite
by computing the th
by thanking the local
by computing the critical
by computing the mean
by computing the relative
by computing the Normalized
by computing the elastic
by computing the levodopa-equivalent
by computing the intra-class
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