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These complex models would further our understanding of tissue compatibility and performance of the pattern in clinically relevant environments, before conducting clinical trials that would evaluate patient driven outcomes.
Because of this overlapping, a supervised classifier may refuse to identify a clear discrimination among the groups and as a result may degrade the performance of the pattern recognition.
We have evaluated the temporal encoding algorithms on the benchmark Starplus fMRI dataset, and the results demonstrate the temporal encoding algorithm's ability to achieve significant data compression without sacrificing the performance of the pattern recognition in the compressed space.
As already explained, the performance of the pattern extraction and matrix construction (DBSCAN based clustering and collaborative filtering) can be computationally expensive, but can be done offline and only the matrix-based access (as demonstrated in the performance figure above) impacts on the runtime overhead for the configuration.
Figure 2B also shows the performance of the pattern matching decoder.
Performance of the pattern recognition algorithm was then tested in 20 randomly selected tissue cores (validation set).
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That is, evaluate the performance analysis of the pattern recognition algorithms for online outlier detection in the context of limited computational resources (i.e., with a smartphone).
Therefore, these data were discarded and we will thus only report the data of the performances of the patterns.
Among them, the map-reduce solution was used for the studies [117 119] to enhance the performance of the frequent pattern mining algorithm.
Compared with silver nanoparticle ink, SNW ink provides low sintering temperature and low resistivity, guaranteeing good performance of the conductive pattern, because the continuous conductive track was fabricated by the contact of silver nanowires, not the melt of silver nanoparticles.
Also, the hydraulic performance of the flow patterns was studied by evaluating the pressure drop and pumping power.
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performance of the sequence
performance of the model
performance of the plan
performance of the profile
performance of the scheme
performance of the behavior
performance of the mode
performance of the planned
outputs of the pattern
performance of the schemes
performance of the apparatus
performance of the day
performance of the radio
performance of the device
performance of the project
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