Robust Self-Tuning Semiparametric PCA for Contaminated Elliptical Distribution von Hung, Hung, Huang, Su-Yun, Eguchi, Shinto

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Robust Mislabel Logistic Regression without Modeling Mislabel Probabilities von Hung, Hung, Jou, Zhi-Yu, Huang, Su-Yun

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Sufficient Dimension Reduction via Random-Partitions for the Large-p-Small-n Problem von Hung, Hung, Huang, Su-Yun

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Reduced Support Vector Machines: A Statistical Theory von LEE, Yuh-Jye, HUANG, Su-Yun

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Robust Aggregation for Federated Learning by Minimum γ -Divergence Estimation von Li, Cen-Jhih, Huang, Pin-Han, Ma, Yi-Ting, Hung, Hung, Huang, Su-Yun

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Tensor decomposition for dimension reduction von Cheng, Yu‐Hsiang, Huang, Tzee‐Ming, Huang, Su‐Yun

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Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression von YEH, Yi-Ren, HUANG, Su-Yun, LEE, Yuh-Jye

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Detection of gene-gene interactions using multistage sparse and low-rank regression von Hung, Hung, Lin, Yu-Ting, Chen, Penweng, Wang, Chen-Chien, Huang, Su-Yun, Tzeng, Jung-Ying

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Robust Kernel Principal Component Analysis von Huang, Su-Yun, Yeh, Yi-Ren, Eguchi, Shinto

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Perturbation theory for cross data matrix-based PCA von Wang, Shao-Hsuan, Huang, Su-Yun

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Robust Independent Component Analysis via Minimum \gamma -Divergence Estimation von Pengwen Chen, Hung Hung, Komori, Osamu, Su-Yun Huang, Eguchi, Shinto

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On the asymptotic normality and efficiency of Kronecker envelope principal component analysis von Huang, Shih-Hao, Huang, Su-Yun

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Machine learning-based monosaccharide profiling for tissue-specific classification of Wolfiporia extensa samples von Hsiung, Shih-Yi, Deng, Shun-Xin, Li, Jing, Huang, Sheng-Yao, Liaw, Chen-Kun, Huang, Su-Yun, Wang, Ching-Chiung, Hsieh, Yves S.Y.

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A generalized information criterion for high-dimensional PCA rank selection von Hung, Hung, Huang, Su-Yun, Ing, Ching-Kang

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Alteration of power law scaling of spontaneous brain activity in schizophrenia von Lee, Yi-Ju, Huang, Su-Yun, Lin, Ching-Po, Tsai, Shih-Jen, Yang, Albert C.

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γ-SUP: A CLUSTERING ALGORITHM FOR CRYO-ELECTRON MICROSCOPY IMAGES OF ASYMMETRIC PARTICLES von Chen, Ting-Li, Hsieh, Dai-Ni, Hung, Hung, Tu, I-Ping, Wu, Pei-Shien, Wu, Yi-Ming, Chang, Wei-Hau, Huang, Su-Yun

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A consistency theorem for randomized singular value decomposition von Chen, Ting-Li, Huang, Su-Yun, Wang, Weichung

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The generalized degrees of freedom of multilinear principal component analysis von Tu, I-Ping, Huang, Su-Yun, Hsieh, Dai-Ni

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A new regularized least squares support vector regression for gene selection von Chen, Pei-Chun, Huang, Su-Yun, Chen, Wei J, Hsiao, Chuhsing K

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On asymptotic normality of cross data matrix-based PCA in high dimension low sample size von Wang, Shao-Hsuan, Huang, Su-Yun, Chen, Ting-Li

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