By using multiple copies of the Asa H 2.0 code in each layer of the hierarchy and by transferring copies of learned cases between these (code copies) it is then possible to construct a convolutional network out of Asa H. Convolutional networks have proven to be useful in object recognition, for instance. (see the work of Y. LeCun)
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