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4.1, the 'distributions of spatial scales' are specified by pattern elements.
Three experiments examined the processes mediating rat serial pattern learning for rule-consistent versus rule-violating pattern elements ("violation elements").
The composition of design patterns consists of assigning multiple pattern elements into overlapping sets of classes in a software system.
Before that, a training dataset is established, which contains a mass of pattern elements with various blurring and distortions.
Here the technique used for quantitative tilt measurement highlights two different groupings of pattern elements at different scales of the edge map.
Another issue is the random aspect of texture, because size, shape, and orientation of pattern elements can vary over a region.
Indeed, they do not manage efficiently the patterns variability and they do not specify the pattern elements when they are instantiated.
Second, pattern element identification is modelled as a supervised classification problem and the deep neural network technique is applied for the accurate classification of pattern elements.
The PPAL allows microfluidic chips that are designed with complex components having large and small (∼1 μm – ∼500 μm) pattern elements to be fabricated rapidly.
The further the pattern elements are from the geometric location of the symmetry axis, the less salient that axis is considered to be.
Additional pattern elements, such as patches and single-color spots, were not used in these analyses.
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