Hence, novel prediction methods with faster training will be developed in future work.
Thus, it is unlikely that CS would find widespread application in data compression, as there are methods with faster reconstruction, e.g., vector quantization (VQ) [3] and floating-point array compression [4].
In this paper, we present an efficient method with fast global convergence rate to solve the regularized basis pursuit problem.
Therefore, considering the above factors, a method with fast separation and high resolution was expected in the quality control of TCM.
Cui [30] investigated exterior and interior sound radiation from the vibrations of box structures and established a noise prediction theory using the FEM and the virtual boundary element least squares method with fast multipole expansion.
PCR is an efficient method with fast speed but sometimes with relatively low specificity and sensitivity.
Here, we compared the discriminative power of the recently developed in our laboratory fast ligation amplification polymorphism (FLAP) method with fast ligation-mediated PCR (FLiP).
The overall strategy is to screen the structure database with many different methods, starting with fast but unreliable ones and ending with the most sensitive but slow methods.
Thus, finding credible and affirmative solution methods along with fast application techniques is beneficial and enables examination of the field.
Extensive experiments demonstrate that our approach achieves better performance than the state-of-the-art methods with a fast processing speed, making it suitable for real-world clinical applications.
