Feature net model is for word recognition, recognition by components model is object recognition. Face recognition - its holistic, not component based.
At the start proposed by using Selfridge (1959) (as the “pandemonium version”), feature nets are a idea of popularity and image constancy in Human perception. function nets endorse that recognition relies upon on a community of “detectors,” prepared in layers of growing granularity.
What is the feature nets speculation?
Feature nets speculation. One opportunity for expertise how the visual device acknowledges phrases is through a device called a feature nets. The initial layer, at the bottom, contains detectors for features. Subsequent layers hit upon greater complicated patterns like letters, and then phrases.
Which of the subsequent is a bonus of a feature nets?
Feature nets are able to explaining accurate performance, however not errors. The interactive nature of feature nets normally lets in us to pick out stimuli, but can also result in errors.
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The last few decades have seen significant changes in the percentage of women's workforce, especially mothers with underage children, most of whom are working full-time. For example, from March 1975 to March through March 2000, the percentage of mothers with children under the age of 18 rose from 47% to 73%. Thus, According to the data of the U.S. Bureau of Labor Statistics in 2007, this percentage is 71%.
Answer:selection
Explanation:
Selection occurs when subjects who may be unrelated but have similar variables or factors and because of those similar features each oneauve be mistake for the other one.
A person may recognise someone as familiar only because the person their are familiar with Also has the same hair cut and shape of the head or even their height is the same as a result of these similar features the one may be mistaken for the other.
Answer:
The answer is c. bringing wage reductions
Explanation:
