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by twa927 2620 days ago
Ok, so this depends on what algorithms are used for the feature detection ("edges in an image, and an eye detector, and a texture analyser for fur"). I'm guessing hand-coding an algorithm for detecting edges in an image can be done successfully, but it looks much harder for "an eye detector", so it needs "machine learning"

What I meant when asking for a name of an algorithm class are algorithms where the feature extraction is done using hand-coded algorithms.

1 comments

You can call them “handcrafted decision trees” then.