Sentence examples for sparse correlation from inspiring English sources
The proposed visual signal fidelity metric, which is called sparse correlation coefficient (SCC), is motivated by the need to capture the correlation between two sets of outputs from a sparse model of simple cell receptive fields.
To test the ability of the proposed sparse correlation matching-based spectrum sensing techniques to properly label a desired user, we first consider a scenario with one desired user in the presence of noise.
Our results have demonstrated that hyperactivity within the affective network (the automatic emotion regulation system), in particular the orbitofrontal cortex, in conjunction with sparse correlation among the central executive network, attentional network, and the salience network, is the core dysfunction of older depression patients during resting state.
Figure 6 Performance of the sparse correlation-matching based spectrum sensing with interference.
Figure 4 Performance of the sparse correlation-matching based spectrum sensing.
While all three methods successfully detect the two candidates, γ G is not able to provide two power level estimates because of the non-dependency on the frequency of the parameter γ G. Figure 5 Performance of the sparse correlation-matching based spectrum sensing.
Therefore, MvSPP can avoid incorrect sparse correlations which are caused by the global property of sparse representation from one single view.
These proteins were inversely correlated with cell death in cortical areas from KF and F, with only sparse correlations in C and K.
The procedure itself may also be modified in a variety of ways, including the use of sparse canonical correlation and multigene interaction analysis with generalized canonical correlation, and further exploring the resampling procedures used in the SE estimation.
We compared the performance of MultiDA with the related methods, Sparse Canonical Correlation Analysis (SCCA) [ 24] and Sparse Generalized Canonical Correlation Analysis (SGCCA) [ 17].
Sigg et al. in a pioneering work [17] have proposed a single microphone AVSS method by developing a non-negative sparse canonical correlation analysis (NS-CCA) algorithm.
