no code implementations • 4 Mar 2024 • Zhiji Yang, Wanyi Chen, huan zhang, Yitian Xu, Lei Shi, Jianhua Zhao
Support vector machine (SVM) has achieved many successes in machine learning, especially for a small sample problem.
no code implementations • 4 Jan 2024 • Xuan Ma, Jianhua Zhao, Changchun Shang, Fen Jiang, Philip L. H. Yu
This introduces two challenges for $t$fa: (i) the inherent matrix structure of the data is broken, and (ii) robustness may be lost, as vectorized matrix data typically results in a high data dimension, which could easily lead to the breakdown of $t$fa.
no code implementations • 19 Apr 2022 • Jianhua Zhao, Changchun Shang, Shulan Li, Ling Xin, Philip L. H. Yu
The Bayesian information criterion (BIC), defined as the observed data log likelihood minus a penalty term based on the sample size $N$, is a popular model selection criterion for factor analysis with complete data.
no code implementations • 26 Feb 2022 • Jianhua Zhao, Haiye Liang, Shulan Li, Zhiji Yang, Zhen Wang
To address the two problems, we propose RBLDA for MTS data classification, where each of the two within-class matrices is regularized via one parameter.
no code implementations • 13 Dec 2021 • Xuan Ma, Jianhua Zhao, Yue Wang
To solve the robustness problem suffered by FPCA and make it applicable to matrix data, in this paper we propose a robust extension of FPCA (RFPCA), which is built upon a $t$-type distribution called matrix-variate $t$ distribution.
no code implementations • 27 Jan 2021 • Jingwei Mu, Shaoyun Huang, Zhi-Hai Liu, Weijie Li, Ji-Yin Wang, Dong Pan, Guang-Yao Huang, Yuanjie Chen, Jianhua Zhao, H. Q. Xu
It is shown that these current lines can be individually assigned as arising from resonant electron transport through the energy levels of different QDs.
Mesoscale and Nanoscale Physics
no code implementations • 31 Dec 2019 • Tianhan Liu, Xiaolei Wang, Hailong Wang, Gang Shi, Fan Gao, Honglei Feng, Haoyun Deng, Longqian Hu, Eric Lochner, Pedro Schlottmann, Stephan von Molnár, Yongqing Li, Jianhua Zhao, Peng Xiong
Electrical generation of polarized spins in nonmagnetic materials is of great interest for the underlying physics and device potential.
Applied Physics Strongly Correlated Electrons