Titlebook: Computational Pulse Signal Analysis; David Zhang,Wangmeng Zuo,Peng Wang Book 2018 Springer Nature Singapore Pte Ltd. 2018 Computational Pu

擁護(hù)者

scotoma

Advanced Statistical Analysis of SVMs (*),omplex network and detect the artifact by measuring the connectivity of the network. The experimental results show that the saturation and artifact detection method can both achieve better detection accuracy and better time resolution.

CAB

Aboveboard

Two-Class Support Vector Machines, method, SimpleMKL, to combine heterogeneous features for more effective classification. Experimental results show that the proposed method is promising in integrating multiple types of pulse features to further enhance the classification performance.

驚呼

我悲傷

CYT

Characterization of Inter-Cycle Variations for Wrist Pulse Diagnosis-cycle variations using the statistical properties on complex network. Experimental results show that the presented features are effective in characterizing both inter- and intra-cycle variations and can obtain better performance in pulse diagnosis.

JAMB

Carcinoma

緯度