Answer:
Wishing she were dead and pushing her off the cliff
Explanation:
Two types of dream content were given by Sigmund Freud
<u>Latent content:</u>
It is the hidden psychological meaning of the dream content. the hidden meaning plays an important role in Sigmund Freud's dream analysis. He also believed that if we bring our hidden content in conscious then we can relieve from psychological distress.
<u>Manifest content:
</u>
It is an actual literature subject matter of the dream while latent content is underlying the meaning of these symbols.
Freud believed that people could better understand their problem and can resolve the distressful issues that create a problem in one's life. Dream center on wish fulfillment.
I believe the answer is: <span> preservation of evidence.
</span><span> preservation of evidence is critically important because the genetic Trace or fingerprints that left on the evidence could be easily erased.
When such evidence is erased, the justice department wouldn't have sufficient proof when they are prosecuting the suspects.
</span>
The answer is they in live forest near lake or steam
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.
Learn more about feature nets here:- brainly.com/question/3733655
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