The architecture of the new plant is of interest because of the sparsity of plants allied to euphyllophytes in this region and its resemblance to aneurophytaleans.
In this situation, even if they have a Gaussian distribution, the calculated axis direction can be incorrect because of the sparsity of the data, hardening the calculation.
Obtaining the full spatial coverage of daily surface ozone fields is challenging because of the sparsity of the surface monitoring network and the difficulty in direct satellite retrievals of surface ozone.
Because of the sparsity of STES, a hardware prototype that is composed of a PIR sensor array and a visibility mask is designed for measuring STES compressively, and a nearest neighbor classifier is then used for classification in the compressive measurement domain.
An undetermined system can be solved by SSP from Equation 2, i.e., M measurements in y can be enough for N outputs in x, M < N, because of the sparsity, i.e., only K nonzeros in x, K < M, and incoherence of A, i.e., a low inner product between its different columns.
Hence, in the MUME algorithm, we have one matrix-vector product per iteration (Step 6) whose count is (ll 2 N^{2}) flops, because of the sparsity of the matrix ; and one addition of 2N-vectors (Step 7) whose count is 2N flops.
It is important to note that, because of the extreme sparsity in the contextual feature space, the decision tree (DT) used to cluster the model parameters is the critical component in the statistical modeling.
It is impossible to directly compare the network structures because of the noise, sparsity, and indirect paths issues.
Although this is difficult to assess because of the relative sparsity of monitors in rural areas, it has been demonstrated that CMAQ does contain information that is useful for predicting O3 concentrations at unmonitored sites (Berrocal et al. 2012).
The behaviour of the consistency is independent of the sparsity of the underlying signal, e.g. the sparsity index β (Fig. 1f).
