Is Haar Cascade Classification can be considered as Neural Network?

asked 2015-10-01 22:15:47 -0600

Felicity
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The cascade classifier consists of stages, where each stage is an ensemble of weak learners. The weak learners are simple classifiers called decision stumps. Each stage is trained using a technique called boosting.

Here's the link: Cascade Classification

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answered 2015-10-02 03:56:11 -0600

StevenPuttemans

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Hmm there is a big difference between AdaBoost and Neural Networks... so I would not say that they are the same. Also the stumps is a default value, but you can take whatever structure of a tree as weak classifier, so the limitation and buildup is different. Besides, a cascade enables to use the early rejection principle, while a neural net needs to process each input completely and thus makes in computationally heavy for a sliding window approach.