Su-Yun Huang - researchr alias

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Viewing Publication 1 - 18 from 18

2022

Robust Self-Tuning Semiparametric PCA for Contaminated Elliptical DistributionHung Hung, Su-Yun Huang, Shinto Eguchi. tsp, 70:5885-5897, 2022. [doi]

Robust Aggregation for Federated Learning by Minimum γ-Divergence EstimationCen-Jhih Li, Pin-Han Huang, Yi-Ting Ma, Hung Hung, Su-Yun Huang. entropy, 24(5):686, 2022. [doi]

Perturbation theory for cross data matrix-based PCAShao-Hsuan Wang, Su-Yun Huang. ma, 190:104960, 2022. [doi]

2021

On the asymptotic normality and efficiency of Kronecker envelope principal component analysisShih Hao Huang, Su-Yun Huang. ma, 184:104761, 2021. [doi]

2020

Altered Functional Complexity Associated with Structural Features in Schizophrenic Brain: A Resting-state fMRI StudyYi-Ju Lee, Su-Yun Huang, Shih-Jen Tsai, Albert C. Yang. complexis 2020: 120-128 [doi]

On asymptotic normality of cross data matrix-based PCA in high dimension low sample sizeShao-Hsuan Wang, Su-Yun Huang, Ting-Li Chen. ma, 175, 2020. [doi]

2019

The generalized degrees of freedom of multilinear principal component analysisI-Ping Tu, Su-Yun Huang, Dai-Ni Hsieh. ma, 173:26-37, 2019. [doi]

2016

On the weak convergence and Central Limit Theorem of blurring and nonblurring processes with application to robust location estimationTing-Li Chen, Hironori Fujisawa, Su-Yun Huang, Chii-Ruey Hwang. ma, 143:165-184, 2016. [doi]

2013

2010

Multiclass support vector classification via coding and regressionPei-Chun Chen, Kuang-Yao Lee, Tsung-Ju Lee, Yuh-Jye Lee, Su-Yun Huang. ijon, 73(7-9):1501-1512, 2010. [doi]

2009

A new regularized least squares support vector regression for gene selectionPei-Chun Chen, Su-Yun Huang, Wei J. Chen, Chuhsing Kate Hsiao. bmcbi, 10, 2009. [doi]

Robust Kernel Principal Component AnalysisSu-Yun Huang, Yi-Ren Yeh, Shinto Eguchi. neco, 21(11):3179-3213, 2009. [doi]

Nonlinear Dimension Reduction with Kernel Sliced Inverse RegressionYi-Ren Yeh, Su-Yun Huang, Yuh-Jye Lee. tkde, 21(11):1590-1603, 2009. [doi]

2007

Model selection for support vector machines via uniform designChien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, Su-Yun Huang. csda, 52(1):335-346, 2007. [doi]

Reduced Support Vector Machines: A Statistical TheoryYuh-Jye Lee, Su-Yun Huang. tnn, 18(1):1-13, 2007. [doi]

2004

Bayesian marginal inference via candidate s formulaChuhsing Kate Hsiao, Su-Yun Huang, Ching-Wei Chang. sac, 14(1):59-66, 2004. [doi]

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