Results 1-32 of 32 (Search time: 0.004 seconds).
| Issue Date | Title | Author(s) | Relation | scopus | WOS | Fulltext/Archive link | |
|---|---|---|---|---|---|---|---|
| 1 | 2023 | A geometric algorithm for contrastive principal component analysis in high dimension | Rung-Sheng Lu; Shao-Hsuan Wang; Su-Yun Huang | JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS 33(3), 909-916 | |||
| 2 | 2022 | Machine learning-based monosaccharide profiling for tissue-specific classification of Wolfiporia extensa samples | SY Hsiung; SX Deng; J Li; SY Huang; CK Liaw; SY Huang ; CC Wang; Y Hsieh | CARBOHYDRATE POLYMERS 322, 121338 | |||
| 3 | 2022 | A generalized information criterion for high-dimensional PCA rank selection | Hung Hung; Su-Yun Huang ; Ching-Kang Ing | STATISTICAL PAPERS 63, 1295-1321 | |||
| 4 | 2022 | Perturbation theory for cross data matrix-based PCA | Shao-Hsuan Wang; Su-Yun Huang | JOURNAL OF MULTIVARIATE ANALYSIS 190, 104960 | |||
| 5 | 2022 | Robust self-tuning semiparametric PCA for contaminated elliptical distribution | Hung Hung; Su-Yun Huang ; Shinto Eguchi | IEEE TRANSACTIONS ON SIGNAL PROCESSING 70, 5885-5897 | |||
| 6 | 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 24(5), 686 | |||
| 7 | 2021 | On the asymptotic normality and efficiency of Kronecker envelope principal component analysis | Shih-Hao Huang; Su-Yun Huang | JOURNAL OF MULTIVARIATE ANALYSIS 184, 104761 | |||
| 8 | 2021 | Alteration of power law scaling of spontaneous brain activity in schizophrenia | Yi-Ju Lee; Su-Yun Huang ; Ching-Po Lin; Shih-Jen Tsai; Albert C Yang | Schizophrenia Research 238, 10-19 | |||
| 9 | 2021 | Radiomic Features at CT Can Distinguish Pancreatic Cancer from Noncancerous Pancreas | Po-Ting Chen; Dawei Chang; Huihsuan Yen; Kao-Lang Liu; Su-Yun Huang ; Holger Roth; Ming-Shiang Wu; Wei-Chih Liao; Weichung Wang | Radiology: Imaging Cancer 3(4), e210010 | |||
| 10 | 2020 | A consistency theorem for randomized singular value decomposition | Ting-Li Chen ; Su-Yun Huang ; Weichung Wang | STATISTICS & PROBABILITY LETTERS 161, 108743 | |||
| 11 | 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 | JOURNAL OF MULTIVARIATE ANALYSIS 175, 104556 | |||
| 12 | 2020 | Two-stage dimension reduction for noisy high-dimensional images and application to Cryogenic Electron Microscopy | Szu-Chi Chung; Shao-Hsuan Wang; Po-Yao Niu; Su-Yun Huang ; Wei-Hau Chang; I-Ping Tu | Annals of Mathematical Sciences and Applications 5(2), 283-316 | |||
| 13 | 2019 | The generalized degrees of freedom of multilinear principal component analysis | I-Ping Tu; Su-Yun Huang ; Dai-Ni Hsieh | JOURNAL OF MULTIVARIATE ANALYSIS 173, 26-37 | |||
| 14 | 2019 | Tensor decomposition for dimension reduction | Yu-Hsiang Cheng; Tzeeming Huang; Su-Yun Huang | COMPUTATIONAL STATISTICS 12(2), e1482 | |||
| 15 | 2019 | Sufficient dimension reduction via random-partitions for the large-p-small-n problem | Hung Hung; Su-Yun Huang | BIOMETRICS 75(1), 245-255 | |||
| 16 | 2018 | Robust mislabel logistic regression without modeling mislabel probabilities. | Hung, H; Jou, ZY; Huang, SY | Biometrics 74(1), 145-154 | |||
| 17 | 2012 | On multilinear principal component analysis of order-two tensors | Hung, Hung; Wu, Pei-Hsien; Tu, I-Ping ; Huang, Su-Yun | BIOMETRIKA 99(3), 569-583 | |||
| 18 | 2011 | Combining an evolution-guided clustering algorithm and haplotype-based LRT in family association studies. | Lee, M. H.; Tzeng, J. Y.; Huang, S. Y. ; Hsiao, C. K. | BMC Genetics 12:48 | |||
| 19 | 2010 | Nonlinear Regression Analysis | Huang, H. H.; Hsiao, C. K.; Huang, S. Y. | The International Encyclopedia of Education (Oxford : Elsevier) | |||
| 20 | 2010 | Multiclass support vector classification via coding and regression | Chen, P. C.; Lee, K. Y.; Lee, T. J.; Lee, Y. J.; Huang, S. Y. | NEUROCOMPUTING 73, 1501-1512 | |||
| 21 | 2009 | A new regularized least squares support vector regression for gene selection. | Chen, Pei-Chun; Huang, Su-Yun ; Chen, Wei J; Hsiao, Chuhsing Kate | BMC Bioinformatics 10(44) | |||
| 22 | 2009 | Robust kernel principal component analysis | Huang, S. Y. ; Yeh, Y. R.; Eguchi, S. | NEURAL COMPUTATION 21 | |||
| 23 | 2009 | Nonlinear dimension reduction with kernel sliced inverse regression | Yeh, Y. R.; Huang, S. Y. ; Lee, Y. J. | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 21, 1590-1603 | |||
| 24 | 2009 | Nonlinear measures of association with kernel canonical correlation analysis and applications | Huang, S. Y. ; Lee, M. H.; Hsiao, C. K. | Journal of Statistical Planning and Inference 139, 2162-2174 | |||
| 25 | 2008 | Data Visualization via Kernel Machines | Chang, Yuan-Chin Ivan; Lee, Yuh-Jye; Pao, Hsing-Kuo; Lee, Mei-Hsien; Huang, Su Yun | Handbook of Data Visualization (Heidelberg : Springer) | |||
| 26 | 2007 | Model selection for support vector machines via uniform design | Huang, Chien-Ming; Lee, Yuh-Jye; Lin, Dennis K. J.; Huang, Su-Yun | Computational Statistics & Data Analysis 52(1), 335-346 | |||
| 27 | 2007 | Maximum number of live births per donor in artificial insemination | Wang, Charlotte; Tsai, Miao-Yu; Lee, Mei-Hsien; Huang, Su-Yun ; Kao, Chen-Hung ; Ho, Hong-Nerng; Hsiao, Chuhsing Kate | Human Reproduction 22(5), 1363-1372 | |||
| 28 | 2007 | Reduced support vector machines: A statistical theory | Lee, Yuh-Jye; Huang, Su-Yun | Ieee Transactions on Neural Networks 18(1), 1-13 | |||
| 29 | 2004 | Kernel-based discriminant techniques for educational placement. | Lin, M. H.; Huang, S. Y. ; Chang, Y. -C. I. | Journal of educational and behavioral statistics 29(2), 219-240 | |||
| 30 | 2004 | Bayesian marginal inference via candidate's formula. | Hsiao, C. K.; Huang, S. Y. ; Chang, C. W. | Statistics and Computing 14, 59-66 | |||
| 31 | 2003 | Generalized cross-validation for wavelet shrinkage in nonparametric mixed-effects models | Lu, H. S.; Huang, S. Y. ; Lin, F. J. | J. Computational and Graphical Statistics 12, 714-730 | |||
| 32 | 2003 | Optimal volume-corrected Laplace-Metropolis method. | Huang, S. Y. ; Hsiao, C. K.; Chang, C. W. | Ann. Inst. Statist. Math. 55, 655-670 |
