The phrase "a set of sparse" is not complete and lacks context, making it difficult to determine its correctness in written English.
It could be used in contexts discussing collections or groups that are characterized by sparsity, such as data sets or resources.
Example: "In our analysis, we examined a set of sparse data points to identify trends."
Alternatives: "a collection of sparse" or "a group of sparse".
An adaptive feedback canceller, which is trained using a set of sparse adaptive algorithms is designed in this paper to take advantage of the sparseness.
Key in this context is the ability to derive truthful models of gas distribution from a set of sparse measurements.
With the reconstructed cages as well as a set of sparse coordinates (or reduction weights), we can efficiently recover the animated sequence.
One reason is that the statistical soft tissue thickness at a set of sparse landmarks is far less than enough to reflect the whole distribution of tissue depth.
These verification test cases demonstrate that the RCA-RANS k ω model can successfully adapt the closure coefficients to improve agreement between the simulated flow field and a set of sparse flow-field measurements.
Using a set of sparse pairwise atomic distance constraints (such as those obtained from chemical cross-linking, FRET, or dipolar EPR experiments), the algorithm performs an exhaustive search of secondary structure element packing conformations distributed throughout the entire conformational space.
In this paper, we study a sparse multiple measurement vector problem in which we need to recover a set of jointly sparse vectors from incomplete measurements.
For the far field, the deformation gradient threshold was set to 0.5 to obtain a set of relatively sparse points.
It aims to recover a set of jointly sparse vectors, i.e., those that have nonzero entries concentrated at a common location.
To simulate networks most closely resembling real world network data, we set out to develop a set of relatively sparse networks with few strong connections.
Alternatively, one could conceivably constrain the search to a set of candidate (sparse) models by adding a BIC penalty for example.
