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Pooling is a biologically inspired operation to reduce the resolution of feature maps and achieve spatial invariance in convolutional neural networks.
The resolved addresses are temporarily kept in the ARP cache to reduce the resolution time and avoid additional ARP traffic overhead for recently resolved IP addresses [3].
We aimed in a previous work to reduce the resolution complexity of this theory by synthesizing minimal cuts that represent minimal zone in the reachability graph.
However de Montjoye points out that TfL could have used daily keys, instead of apparently keeping the same salt keys for a month, to reduce the resolution of the information being gathered — and shrink the re-identification risk to individuals.
The methodology adopted in this work involves using the cochlear response resolution to first identify salient features and, only when the features have been detected and tracked, to reduce the resolution to a level that is representative of human perception.
At Eurocrypt 2012, following similar approaches by Gaudry [9] and Diem [2,3], FPPR method provided V with the structure of a vector space, to reduce the resolution of Semaev's polynomial to a system of multivariate polynomial equations.
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For extension fields (K=mathbb {F}_{q^{n}}), Gaudry and Diem [2,9] independently proposed to define V as the subfield (mathbb {F}_{q}) and to apply a Weil descent to further reduce the resolution of Semaev's polynomials to the resolution of a polynomial system of equations over (mathbb {F}_{q}).
To further reduce the resolution to the nanometer scale, methods of near-field laser irradiation with the combination of advanced processing tools such as SPM, NSOM, transparent, and metallic particles are applied for the sizes as small as 20 nm.
Height smoothing for altitudes between 10 and 20 km is applied to reduce the vertical resolution to 0.5 km, although the original height resolution of 0.1 0.3 km is kept below 10 km (Sokolovskiy et al. 2014).
In such cases, the prolonged analysis may slow down the research process or tempt the researcher to reduce the grid resolution to get a faster but less detailed result.
This approach can be enhanced by allowing to reduce the temporal resolution of the signal.
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