ML p(r)ior | Efficient Robust Mean Value Calculation of 1D Features

Efficient Robust Mean Value Calculation of 1D Features

2016-01-29
1601.08003 | cs.CV
A robust mean value is often a good alternative to the standard mean value when dealing with data containing many outliers. An efficient method for samples of one-dimensional features and the truncated quadratic error norm is presented and compared to the method of channel averaging (soft histograms).
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