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Our work is based on two observations: (i) normed gradients, which are designed for generic objectness estimation, effectively generate high-quality detection proposals for the person category; (ii) fusing the normed gradients with color attributes improves the performance of proposal generation for human detection.
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In other words, above normalization permits selection of a framework in which the minimal value of A i Norm is equal to zero and a maximal value equal to a unit.
where I is the original gray level of the pixel (I∈[0,1]) and I norm is the adjusted gray level.
The WISC-III norms include females and non-Caucasian groups.
The term I ij represents the input image while I norm ij is the normalized intensity image.
Composite Verbal, Performance, Processing speed, and Full-Scale IQ (FSIQ) scores were derived using age-standardized WPPSI-III norms.
Figure 8 depicts typical evolutions of the convergence process for four random channel realizations (ChRe), where the curves show Norm P i and Norm λ i at the i th iteration, respectively.
Social norms have two particular expressions: subjective norms (i.e. norms reflecting participants' immediate social environment) and norms about others and society in general.
So, when I do, I revisit Norms.
(i) The norm ?
where ||·|| is the Euclidean norm, i.e., ℓ2 norm.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com