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ORCIDSamuel W. K. Wong
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2020 – today
- 2024
[j7]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)- 2021
- [j6]Saptarshi Chakraborty
, Samuel W. K. Wong:
BAMBI: An R Package for Fitting Bivariate Angular Mixture Models. J. Stat. Softw. 99(11) (2021) - [c2]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: 3891-3900 - 2020
- [j5]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): 267-290 (2020) - [i2]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 abs/2011.04844 (2020)
2010 – 2019
- 2019
- [j4]Chun-Hao Yang, James V. Zidek, Samuel W. K. Wong:
Bayesian Analysis of Accumulated Damage Models in Lumber Reliability. Technometrics 61(2): 233-245 (2019) - [j3]Samuel W. K. Wong, James V. Zidek:
The Duration of Load Effect in Lumber as Stochastic Degradation. IEEE Trans. Reliab. 68(2): 410-419 (2019) - [i1]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 abs/1910.02114 (2019) - 2017
- [c1]Seong-Hwan Jun, Samuel W. K. Wong, James V. Zidek, Alexandre Bouchard-Côté:
Sequential Graph Matching with Sequential Monte Carlo. AISTATS 2017: 1075-1084 - 2016
- [j2]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): 236-243 (2016) - 2015
- [j1]Ke Tang, Samuel W. K. Wong, Jun S. Liu, Jinfeng Zhang, Jie Liang:
Conformational sampling and structure prediction of multiple interacting loops in soluble and β-barrel membrane proteins using multi-loop distance-guided chain-growth Monte Carlo method. Bioinform. 31(16): 2646-2652 (2015)
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