Su-Yun Huang

According to our database, Su-Yun Huang authored at least 21 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Generalized Mean Approach for Distributed-PCA.

Zhi-Yu Jou, Su-Yun Huang, Hung Hung, Shinto Eguchi

CoRR, 2024

2022

Robust Self-Tuning Semiparametric PCA for Contaminated Elliptical Distribution.

Hung Hung, Su-Yun Huang, Shinto Eguchi

IEEE Trans. Signal Process., 2022

Perturbation theory for cross data matrix-based PCA.

Shao-Hsuan Wang, Su-Yun Huang

J. Multivar. Anal., 2022

Robust Aggregation for Federated Learning by Minimum γ-Divergence Estimation.

Cen-Jhih Li, Pin-Han Huang, Yi-Ting Ma, Hung Hung, Su-Yun Huang

Entropy, 2022

2021

On the asymptotic normality and efficiency of Kronecker envelope principal component analysis.

Shih-Hao Huang, Su-Yun Huang

J. Multivar. Anal., 2021

2020

On asymptotic normality of cross data matrix-based PCA in high dimension low sample size.

Shao-Hsuan Wang, Su-Yun Huang, Ting-Li Chen

J. Multivar. Anal., 2020

TensorProjection Layer: A Tensor-Based Dimensionality Reduction Method in CNN.

Toshinari Morimoto, Su-Yun Huang

CoRR, 2020

Altered Functional Complexity Associated with Structural Features in Schizophrenic Brain: A Resting-state fMRI Study.

Yi-Ju Lee, Su-Yun Huang, Shih-Jen Tsai, Albert C. Yang

Proceedings of the 5th International Conference on Complexity, 2020

2019

The generalized degrees of freedom of multilinear principal component analysis.

I-Ping Tu, Su-Yun Huang, Dai-Ni Hsieh

J. Multivar. Anal., 2019

2SDR: Applying Kronecker Envelope PCA to denoise Cryo-EM Images.

Szu-Chi Chung, Po-Yao Niu, Su-Yun Huang, Wei-Hau Chang, I-Ping Tu

CoRR, 2019

2016

On the weak convergence and Central Limit Theorem of blurring and nonblurring processes with application to robust location estimation.

Ting-Li Chen, Hironori Fujisawa, Su-Yun Huang, Chii-Ruey Hwang

J. Multivar. Anal., 2016

2013

Asymptotic error bounds for kernel-based Nyström low-rank approximation matrices.

Lo-Bin Chang, Zhidong Bai, Su-Yun Huang, Chii-Ruey Hwang

J. Multivar. Anal., 2013

Robust Independent Component Analysis via Minimum Gamma -Divergence Estimation.

Pengwen Chen, Hung Hung, Osamu Komori, Su-Yun Huang, Shinto Eguchi

IEEE J. Sel. Top. Signal Process., 2013

Statistical Analysis of Biomarkers for Personalized Medicine.

Shinto Eguchi, Shigeyuki Matsui, Su-Yun Huang, Chuhsing Kate Hsiao

Comput. Math. Methods Medicine, 2013

2010

Multiclass support vector classification via coding and regression.

Pei-Chun Chen, Kuang-Yao Lee, Tsung-Ju Lee, Yuh-Jye Lee, Su-Yun Huang

Neurocomputing, 2010

2009

Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression.

Yi-Ren Yeh, Su-Yun Huang, Yuh-Jye Lee

IEEE Trans. Knowl. Data Eng., 2009

Robust Kernel Principal Component Analysis.

Su-Yun Huang, Yi-Ren Yeh, Shinto Eguchi

Neural Comput., 2009

A new regularized least squares support vector regression for gene selection.

Pei-Chun Chen, Su-Yun Huang, Wei J. Chen, Chuhsing Kate Hsiao

BMC Bioinform., 2009

2007

Reduced Support Vector Machines: A Statistical Theory.

Yuh-Jye Lee, Su-Yun Huang

IEEE Trans. Neural Networks, 2007

Model selection for support vector machines via uniform design.

Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, Su-Yun Huang

Comput. Stat. Data Anal., 2007

2004

Bayesian marginal inference via candidate's formula.

Chuhsing Kate Hsiao, Su-Yun Huang, Ching-Wei Chang

Stat. Comput., 2004