Robust bilinear factor analysis based on the matrix-variate $t$ distribution

Authors: Ma, Xuan, Zhao, Jianhua, Shang, Changchun, Jiang, Fen, Yu, Philip L. H.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2401.02203

Choosing the number of factors in factor analysis with incomplete data via a hierarchical Bayesian information criterion

Authors: Zhao, Jianhua, Shang, Changchun, Li, Shulan, Xin, Ling, Yu, Philip L. H.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning, 62H25, G.3, I.2.6

Access URL: http://arxiv.org/abs/2204.09086

Robust factored principal component analysis for matrix-valued outlier accommodation and detection

Authors: Ma, Xuan, Zhao, Jianhua, Wang, Yue, Shang, Changchun, Jiang, Fen

Source: In Computational Statistics and Data Analysis March 2023 179

Image preprocessing method for underground variable lighting conditions

Authors: SHANG Changchun, MA Hongwei, CHEN Yanbing

Source: Gong-kuang zidonghua, Vol 40, Iss 3, Pp 79-82 (2014)

Subject Terms: underground coal mine, image preprocessing, histogram specification, gamma correction, illumination components, Mining engineering. Metallurgy, TN1-997

File Description: electronic resource

Relation: https://doaj.org/toc/1671-251X

Access URL: https://doaj.org/article/9d5b709be03a4939b45e137e86bb783f