Samuel W. K. Wong

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 10

Top Topics

Dimension Reduction

Gaussian Process

Svm Classification

Bayesian Analysis

Top Venues

J. Stat. Softw.

IEEE Trans. Reliab.

Publications

Samuel W. K. Wong, Shihao Yang, S. C. Kou
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes. J. Stat. Softw. 109 (4) (2024)
Saptarshi Chakraborty, Samuel W. K. Wong
BAMBI: An R Package for Fitting Bivariate Angular Mixture Models. J. Stat. Softw. 99 (11) (2021)
Shenyi Pan, Shuxian Fan, Samuel W. K. Wong, James V. Zidek, Helge Rhodin
Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images. WACV (2021)
Katherine C. Kempfert, Yishi Wang, Cuixian Chen, Samuel W. K. Wong
A comparison study on nonlinear dimension reduction methods with kernel variations: Visualization, optimization and classification. Intell. Data Anal. 24 (2) (2020)
Shenyi Pan, Shuxian Fan, Samuel W. K. Wong, James V. Zidek, Helge Rhodin
Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images. CoRR (2020)
Katherine C. Kempfert, Yishi Wang, Cuixian Chen, Samuel W. K. Wong
A Comparison Study on Nonlinear Dimension Reduction Methods with Kernel Variations: Visualization, Optimization and Classification. CoRR (2019)
Samuel W. K. Wong, James V. Zidek
The Duration of Load Effect in Lumber as Stochastic Degradation. IEEE Trans. Reliab. 68 (2) (2019)
Chun-Hao Yang, James V. Zidek, Samuel W. K. Wong
Bayesian Analysis of Accumulated Damage Models in Lumber Reliability. Technometrics 61 (2) (2019)
Seong-Hwan Jun, Samuel W. K. Wong, James V. Zidek, Alexandre Bouchard-Côté
Sequential Graph Matching with Sequential Monte Carlo. AISTATS (2017)
Samuel W. K. Wong, Conroy Lum, Lang Wu, James V. Zidek
Quantifying Uncertainty in Lumber Grading and Strength Prediction: A Bayesian Approach. Technometrics 58 (2) (2016)
Ke Tang, Samuel W. K. Wong, Jun S. Liu, Jinfeng Zhang, Jie Liang
-barrel membrane proteins using multi-loop distance-guided chain-growth Monte Carlo method. Bioinform. 31 (16) (2015)