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Discover Ludwig"Mean shift" is a term used in mathematics and statistics, so it is correct to use in written English.
You can use it when referring to the algorithm of the same name. For example, "We used mean shift to accurately identify clusters in the data set."
Exact(37)
Method 2 outperforms Method 1 when the correlation and mean shift are both high.
The design is based on an interdependence and adaptive scale mean shift (IASMS) algorithm.
The model is estimated using a sparse penalized regression approach that simultaneously enforces sparsity in mean shift and covariate parameters.
Mean shift is a bound optimization.
The time interval between mean shift and the latest sample point before mean shift.
This can be achieved using the mean shift algorithm.
Similar(23)
It is a modified and optimized version of Backprojection-based mean-shift segmentation (BackMS) method.
a Mean-shift.
Continuously Adaptive Mean-Shift.
Figure 10 Mean-shift scenarios.
b Extended mean-shift [55].
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