Sentence examples for using the histogram bin from inspiring English sources

The bin size of 10 was chosen using the histogram bin size optimization method by Shimazaki and Shinomoto (2007).

This paper proposes to use multiple instances of rotational Local Binary Patterns (LBP) of pixels as features instead of using the histogram bins of the LBP of pixels.

Hence, only the model's specific values are extracted rather than extracting all the LBP values for all examined window pixels, which is required in LBP extensions that use the histogram bins as features.

The probability density function p(x i ) was estimated by using the histogram method in which the amplitude range of the signal was linearly divided into bins (from -200 μV to 200 μV, with a bin width of 1 μV).

A logarithmic scale is used for the histogram bins because the time intervals vary over orders of magnitude.

To avoid the ambiguity commonly associated with histogram representations (i.e. the bin size), we choose the bin size using the formula proposed by Scott and given by W = 3.49⋅σ⋅N−1/3 [49], with W the width of the histogram bin, σ the standard deviation of the distribution and N the number of available samples.

An advantage of using dissimilarity rather than spectral energy distribution for entropy estimation was in the known scaling of, which allowed predefinition of the histogram bin limits.

where n is the histogram bin number.

Specifically, for a given connected component divided into N × N non-overlapping blocks, the appearance probability of writing pixels in the block number i corresponds to the histogram bin number i in the produced corresponding histogram of N × N bins.

The histogram bins are produced for every classifier by using four shifts of the decision boundary in Fig. 2.

For computing these functions, histogram-driven estimators were used, and the sums on Equations (6) and (7) were carried out along the histogram bins.