Exact(2)
Now let us assume that instead of samples of x, we take m linear combinations of the samples (called generalized samples).
To solve this problem, we introduce probabilistic measures; i.e., instead of exact recovery of signals, we focus on the probability that a random sparse signal (according to a given probability density function) fails to be reconstructed using its generalized samples.
Similar(58)
We have observed that classifiers trained within a sample set culled using SMVs generalize to samples outside the set, however performance degradation is sometimes observed as the sample quality degrades.
First, further study is required to investigate if the results of the current study, which was based on a Dutch population sample, generalize to population samples outside the Netherlands.
To avoid the challenge of selecting thresholds to segment the image (which may not generalize across samples owing to differences in intensity and enhancement), we adopt the contrast-limiting adaptive histogram equalization algorithm (Zuiderveld, 1994).
Therefore, it is possible the effects were influenced by the nature of the sample and it is not known whether these findings can be generalized to larger samples in community-based physical activity settings.
Sampling weights assigned to each participant were applied in the analyses to generalize the sampled data.
First, the number of participating physicians was very small and, therefore, the results can not be generalized to larger samples and different health conditions.
The neighbourhood has been generalized to N samples on a radius R from the centre pixel in [8], here denoted LBP N,R.
Therefore, respective findings cannot be generalized to all samples under study.
There are also limitations to external validity as our results may not readily be generalized to other samples or populations.
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