Sentence examples for target sparse from inspiring English sources

The moving target (sparse signal), clutter (low-rank signal) and noise (noise signal) can be separated directly.

This method is based on an iterative decrease of the distance between the distribution of the signal and a target sparse distribution, under a perceptual constraint.

This is particularly pertinent when targeting sparse police resources in time and space.

Small RNAs from hotspots of seedling and grain libraries were categorized into repetitive elements, miRNAs, miRNA targets, sparse hotspots, phased hotspots such as ta-siRNAs, and disperse hotspots (Figure 3a).

The Lévy walks pattern has been shown to be better when the targets are sparse, that is the target site has a low target density.

Despite intense research on ovarian cancer with new targets being constantly investigated, treatment targets remain sparse.

Then, according to the nearest neighbor set of the similarity of the multiple targets, finally, sparse processing is performed on the nearest neighbor target data so as to search for a multi-objective optimization with high reliability.

Furthermore, Experiment 1b confirms that the search path followed in Experiment 1a was not a result of the relatively densely packed targets but holds over much more sparse target densities.

The first appears due to the convolution of the transmitted waveform with the sparse target scene, spreading the energy of each target in the scene.

This feature leads to a question of: "what is the most efficient statistical strategy to optimize a random search?" It is shown that for sparse targets (i.e low target density), the efficiency, defined as number of targets (e.g. preys, foods) found divided by the traveled distance, is maximized when the flight lengths follows an inverse power law distribution with a heavy tail: a Lévy walk [2].

Xu et al. (2010) use these ideas in their transfer learning setting, where the source network is a relatively dense interaction network of proteins and the objective is to infer PPI edges in a relatively sparse target network.