Sentence examples for the performance of sparse methods from inspiring English sources

We also investigated the performance of sparse methods under a highly biased lighting distribution.

Compared with the state-of-the-art sparse library and the latest GPU SpMV method, our adaptive scheme improves the performance of sparse matrix multiplications by 2.1× for single-precision and 1.6× for double-precision formats, on average.

We compare the performance of sparse feature representation with existing approaches such as MFCCs and the PCA/LDA method.

In this study, a new method is presented based on ECOC which improves the performance of sparse ECOC by considering the neighborhood of samples.

Extensive studies have been done on improving the performance of sparse matrices processing on different platforms.

The performance of sparse coding for direct classification is first investigated with respect to accuracy and running time.

We tested the performance of the sparse methods under various degrees of light calibration error on the Caesar dataset.

It can be seen that even if the SNR is low, the performances of sparse reconstruction schemes are more robust than conventional PFA method.

We rendered five datasets of the same object Sphere with various sizes of highlight area (Fig. 14, top row) and tested how the size of the specular region affects the performance of our sparse regression methods.

The performance of the methods in the sparse sampling scenarios showed similar performance for all methods regarding bias and imprecision in parameter estimation, with good to moderate estimation for CL, but a much higher bias/imprecision for the covariate effect magnitude.

These bounds provide a way to observe how the performance of the sparse channel estimation methods scales with the perturbation due to frequency offset.