In variation with the previous version (described in part 2). the model is not intended to process groups of features from "contaminated area" but to process feature individually.
The simultaneous analysis of process feature changes by intensification and their control properties achieved the intensified systems with both cost savings and competitive control properties.
The ALPIDE design takes full advantage of a particular process feature, the deep p-well, which allows for full CMOS circuitry within the pixel matrix, while at the same time retaining the full charge collection efficiency.
In the feature-based registration process, feature points are detected from the apparent diffusion coefficient map, and then a novel feature descriptor is designed to characterize feature points directly from a tensor neighborhood.
We have been experimenting with product feature tags and process feature tags to exhaustively capture the ways that a given feature involves complexity or dependencies on external factors or actors.
No automated method exists for the first process (registering), and most automated methods for the second process (feature counting) operate reliably only in a high signal-to-noise regime.
