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The methods described in this paper provide a straightforward and reliable means for imaging a class of samples that, until now, have been very difficult to image.
Further we briefly present our ongoing work on the preparation and characterization of a new class of samples for this instrumentation.
A class of samples from different acquisition times and different illumination levels is shown in Figure 5. Figure 5 Samples from different acquisition times and six illumination levels.
There is only one group (or class) of samples under consideration, and in this situation the question is whether an unknown or new sample fits well into the pre-existing group rather than which of a set of pre-existing groups a sample belongs to.
SU lists the ranked 256 features with the maximum relevance to the class of samples.
The underlying idea is to assign sets of neurons (regions in the map) to a distinct class of samples.
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Precisely, we define and study a new class of sampling designs: determinantal sampling designs.
In this paper, a fundamental stabilization problem is investigated for a class of sampled-data systems under noisy sampling interval.
Conditional Poisson sampling (CPS) and Pareto πps sampling (PPS) design belong to a class of sampling schemes which have inclusion probabilities proportional to given size measures (πps).
In either class of sample, spontaneous hole-filling occurs at significantly greater rates than for 'normal' two level system hole-burning processes in chlorophyll-protein antenna complexes.
The following theorem, which is known in some literature as the Paley-Wiener theorem [2], gives a sampling theorem with a more general class of sampling points.
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