Hidden within this collection of orchestral songs by Grieg and Sibelius, delivered by Karita Mattila with sumptuous tone and accompanied by Sakari Oramo and the CBSO, is a tumultuous performance of a singular masterpiece.
In order to investigate group differences in factors involved in sustained task-set maintenance, ANOVAs contrasted group performance on repetition trials in task blocks in which task switches unpredictably occur (i.e. MBs) with that in task blocks requiring the repeated performance of a singular task (i.e. PRBs).
Calculations of a performance index, a singular number incorporating the major input and output and processing time of a pathway that was defined, also supported this order.
"Opening Night," from 1977, is a backstage drama starring Gena Rowlands as an actress under the influence of a role and a playwright, and shows how she turns a script and a situation into performance, into the public creation of a singular, extravagantly personal moment.
With the orchestra supplemented by a synthesised harpsichord, amplified through a raised central speaker system, problems of balance and coordination abounded, yielding a performance of singular lifelessness.
Hailee Steinfeld gives a funny but very particular performance that could be the sign of a singular talent or a one-off stunt.
"Each of these performances is such a singular experience," said Jeremy Cohen, associate artistic director of Hartford Stage.
The performance of singular value decomposition (SVD -based multiple-input multiple-output (MIMO) with adaptive modulation (AM) iSVD -basedt on the accuracy of the channel state information (CSI) at the transmitter and the receiver.
The objective of this paper is to analyze the performance of singular value decomposition, expectation maximization, and Elman Neural Networks in optimization of code converter outputs in the classification of epilepsy risk levels from EEG (electroencephalogram) signals.
Motivated by the excellent denoising performance of singular spectrum analysis (SSA) (Sacchi 2009; Oropeza and Sacchi 2010, 2011; Huang et al. 2014), we propose to incorporate a regularization term using SSA into least-squares reverse time migration (LSRTM) that eliminates migration artifacts caused by simultaneous-source data, incomplete data and noisy data.
The objective of this paper is to compare the performance of singular value decomposition (SVD), expectation maximization (EM), and modified expectation maximization (MEM) as the postclassifiers for classifications of the epilepsy risk levels obtained from extracted features through wavelet transforms and morphological filters from electroencephalogram (EEG) signals.
