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Each different pattern class corresponds to the hand in a different pose, or set of poses.
A pattern class is a collection of patterns that share some common features and characteristics.
Both the architectures use a set of neural networks—in OVON there is one network for each variable, while in OCON, one network is used for each pattern class to be identified.
This article describes the complex dental treatment of a 43-year-old man with skeletal Class II, mandibular asymmetry, severe brachyfacial pattern, Class II Division 2, canting of the occlusal plane, and an increased curve of Spee.
The training error for a single pattern (class 0) can be seen in Figure 12.
The potentials can be used to measure the density of different regions in the pattern class.
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Human experts constitute pattern classes of natural objects based on their observed appearance.
This highlights deficiencies in the reviewed patterns and provides a basis for identifying new or "missing" patterns and pattern classes.
Typically, Two pass approach coarsely classifies an unknown sample pattern in a group of pattern classes in first-pass.
In addition, OVON is robust to sensor failures and OCON is well suited for addition of new pattern classes.
Statistical analysis of the resulting pattern classes yields a library of signal building blocks, which are useful for detailed characterization of transients inherent to the signals being analyzed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com