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Similar to the results in humans, classification accuracy in a circumscribed region of the monkey AC was greater than that in other regions (the red highlight in Fig. 2 B– E shows significantly above-chance classification accuracy).
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Here is one of my favorite Steinberg cartoons, linking the concepts of identity, human classification, and incarceration.
And a range of constructionist research, especially research on human classifications like "race" and "gender," documents shifts in human classification in response to shifts of interests or power.
The selected features are given to the classifiers for human classification and action recognition.
The proposed algorithm is validated in two major steps: (a) human classification and (b) action recognition.
In the first step, human classification is done as shown in Figs. 2 and 11.
The results section consists of two subsections: (a) human classification results and (b) action recognition results.
Moreover, the performance of the combined system compares very well with the human classification performance.
For human classification, multiple humans and background moving objects are detected and classified using the extracted features.
A clear view of how insight will be generated, with tightly coupled software that intelligently extracts meaning from the data or evaluates which data requires human classification.
Human classification of diagnoses is a labor intensive process that consumes significant resources.
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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