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Is Haar Cascade Classification can be considered as Neural Network?

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

Felicity gravatar image

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

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.

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Asked: 2015-10-01 22:08:39 -0600

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Last updated: Oct 01 '15