baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Features/Feature detection
Feature detection is the process of identifying significant patterns, structures, or attributes in raw data to aid analysis and decision-making.
In images, this includes methods like SIFT, SURF, and Haar cascades for detecting edges, corners, or keypoints.
In audio, algorithms like MFCCs extract time-frequency characteristics, while text relies on tokenization and n-grams.
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