Yaming Wang
Zhejiang Sci-Tech University
26 Papers
68 Citations
Yaming Wang is an academic researcher from Zhejiang Sci-Tech University. The author has contributed to research in topics: Support vector machine & Basis (linear algebra). The author has an hindex of 6, co-authored 24 publications.
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Papers
Sparsity-constrained SENSE reconstruction: an efficient implementation using a fast composite splitting algorithm
TL;DR: The results indicate that, for sparsity-regularized SENSE reconstruction, the FCSA-based method is capable of achieving significant improvements in reconstruction accuracy when compared with the state-of-the-art reconstruction method.
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Resveratrol Targets AKT1 to Inhibit Inflammasome Activation in Cardiomyocytes Under Acute Sympathetic Stress
Rui Wang,Yaming Wang,Jimin Wu,Yanli Guo,Han Xiao,Youyi Zhang,Ketao Ma +6 more
TL;DR: Targets of resveratrol activity involved in the inhibition of early inflammasome activation in cardiomyocytes following acute sympathetic stress are explored and AKT1 is an important target of res veratrol, which should be considered as a treatment option for cardiovascular patients, especially those at risk of acute sympathetic Stress.
Application of kernel principal component analysis and support vector regression for reconstruction of cardiac transmembrane potentials.
TL;DR: The experimental results show that the SVR method with feature extraction can perform better than that without the extract feature extraction (single SVR) in terms of the reconstruction of the TMPs on epi- and endocardial surfaces and that the KPCA-SVR features good approximation and generalization ability when reconstructing the T MPs.
16
Feature point correspondence between consecutive frames based on genetic algorithm
Yaming Wang
- 01 Jan 2006
TL;DR: Experimental results from a real image sequence demonstrate the effectiveness of the proposed approach for removing outliers and recovering occluded points.
6
Cloth Simulation Based on Simplified Mass-Spring Model
TL;DR: The simulation system is established with a simplified mass-spring model and the approach of AABB (Axis-Aligned Bounding Boxes) is adopted for the detection of cloth collision.
5