Su-Yun Huang

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 10

Top Topics

Principal Component Analysis

Top Venues

J. Multivar. Anal.

IEEE J. Sel. Top. Signal Process.

Publications

Hung Hung, Su-Yun Huang, Shinto Eguchi
Robust Self-Tuning Semiparametric PCA for Contaminated Elliptical Distribution. IEEE Trans. Signal Process. 70 (2022)
Shao-Hsuan Wang, Su-Yun Huang
Perturbation theory for cross data matrix-based PCA. J. Multivar. Anal. 190 (2022)
Cen-Jhih Li, Pin-Han Huang, Yi-Ting Ma, Hung Hung, Su-Yun Huang
Robust Aggregation for Federated Learning by Minimum γ-Divergence Estimation. Entropy 24 (5) (2022)
Shih-Hao Huang, Su-Yun Huang
On the asymptotic normality and efficiency of Kronecker envelope principal component analysis. J. Multivar. Anal. 184 (2021)
Yi-Ju Lee, Su-Yun Huang, Shih-Jen Tsai, Albert C. Yang
Altered Functional Complexity Associated with Structural Features in Schizophrenic Brain: A Resting-state fMRI Study. COMPLEXIS (2020)
Shao-Hsuan Wang, Su-Yun Huang, Ting-Li Chen
On asymptotic normality of cross data matrix-based PCA in high dimension low sample size. J. Multivar. Anal. 175 (2020)
Toshinari Morimoto, Su-Yun Huang
TensorProjection Layer: A Tensor-Based Dimensionality Reduction Method in CNN. CoRR (2020)
I-Ping Tu, Su-Yun Huang, Dai-Ni Hsieh
The generalized degrees of freedom of multilinear principal component analysis. J. Multivar. Anal. 173 (2019)
Szu-Chi Chung, Po-Yao Niu, Su-Yun Huang, Wei-Hau Chang, I-Ping Tu
2SDR: Applying Kronecker Envelope PCA to denoise Cryo-EM Images. CoRR (2019)
Ting-Li Chen, Hironori Fujisawa, Su-Yun Huang, Chii-Ruey Hwang
On the weak convergence and Central Limit Theorem of blurring and nonblurring processes with application to robust location estimation. J. Multivar. Anal. 143 (2016)
Shinto Eguchi, Shigeyuki Matsui, Su-Yun Huang, Chuhsing Kate Hsiao
Statistical Analysis of Biomarkers for Personalized Medicine. Comput. Math. Methods Medicine 2013 (2013)
Lo-Bin Chang, Zhidong Bai, Su-Yun Huang, Chii-Ruey Hwang
Asymptotic error bounds for kernel-based Nyström low-rank approximation matrices. J. Multivar. Anal. 120 (2013)
Pengwen Chen, Hung Hung, Osamu Komori, Su-Yun Huang, Shinto Eguchi
Robust Independent Component Analysis via Minimum Gamma -Divergence Estimation. IEEE J. Sel. Top. Signal Process. 7 (4) (2013)
Pei-Chun Chen, Kuang-Yao Lee, Tsung-Ju Lee, Yuh-Jye Lee, Su-Yun Huang
Multiclass support vector classification via coding and regression. Neurocomputing 73 (7-9) (2010)
Pei-Chun Chen, Su-Yun Huang, Wei J. Chen, Chuhsing Kate Hsiao
A new regularized least squares support vector regression for gene selection. BMC Bioinform. 10 (2009)
Yi-Ren Yeh, Su-Yun Huang, Yuh-Jye Lee
Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression. IEEE Trans. Knowl. Data Eng. 21 (11) (2009)
Su-Yun Huang, Yi-Ren Yeh, Shinto Eguchi
Robust Kernel Principal Component Analysis. Neural Comput. 21 (11) (2009)
Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, Su-Yun Huang
Model selection for support vector machines via uniform design. Comput. Stat. Data Anal. 52 (1) (2007)
Yuh-Jye Lee, Su-Yun Huang
Reduced Support Vector Machines: A Statistical Theory. IEEE Trans. Neural Networks 18 (1) (2007)
Chuhsing Kate Hsiao, Su-Yun Huang, Ching-Wei Chang
Bayesian marginal inference via candidate's formula. Stat. Comput. 14 (1) (2004)