Question

Explain any 3 features of static's called visition program

Answer 1

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In machine learning, pattern recognition and in image processing, feature extraction starts from an initial set of measured data and builds derived values intended to be informative and non-redundant, facilitating the subsequent learning and generalization steps, and in some cases leading to better human.

Feature extraction is an attribute reduction process. Unlike feature selection, which ranks the existing attributes according to their predictive significance, feature extraction actually transforms the attributes. Feature extraction can also be used to enhance the speed and effectiveness of supervised learning.

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