the goal of [17] is to perform a clustering operation such that each region is the minimum spanning tree of the involved pixels. Since it starts with a merging process directly from single
To prevent moving target problems, CCN trains the feature detectors one by one to obtain the best possible detection from them. Although the initial hidden-neuron weights are static, once they have been trained, the neurons are not touched again, so the features they identify are permanently pro...