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For further reduced computing complexity and feature dimension, this paper introduces a supervised mechanism for image retrieval when a training image set is available.
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Typical RF approaches rely on the use of supervised mechanisms for learning from training sets composed of images labeled by users along iterations.
Introduction of the supervised learning mechanism for SNNs is a hot topic.
This is in contrast to a supervised learning mechanism for synfire chains, in which an external source repeats the same sequence of activity in order to entrain neurons to spike in a particular order [4], [15].
However, supervised, unsupervised, and semi-supervised learning methods need more attention for future research [80].
Since the classification technique is based on a supervised learning mechanism, it needs to be trained for possible normal and faulty states of SG.
What's the possible mechanism for this?
"It's a defense mechanism for them.
We have an automatic mechanism for it.
One became a defense mechanism for two.
But what is the mechanism for that?
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