The Effectiveness of a Probabilistic Principal Component Analysis Model and Expectation Maximisation Algorithm in Treating Missing Daily Rainfall Data
Sign Up to like & getrecommendations! Published in 2019 at "Asia-Pacific Journal of Atmospheric Sciences"
DOI: 10.1007/s13143-019-00135-8
Abstract: The reliability and accuracy of a risk assessment of extreme hydro-meteorological events are highly dependent on the quality of the historical rainfall time series data. However, missing data in a time series such as this… read more here.
Keywords: imputation; time series; analysis; probabilistic principal ... See more keywords
Probabilistic Principal Geodesic Deep Metric Learning
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DOI: 10.1109/access.2022.3143129
Abstract: Similarity learning which is useful for the purpose of comparing various characteristics of images in the computer vision field has been often applied for deep metric learning (DML). Also, a lot of combinations of pairwise… read more here.
Keywords: metric learning; similarity; principal geodesic; probabilistic principal ... See more keywords
Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2021.1004090
Abstract: In practical process industries, a variety of online and offline sensors and measuring instruments have been used for process control and monitoring purposes, which indicates that the measurements coming from different sources are collected at… read more here.
Keywords: multi rate; process; probabilistic principal; rate probabilistic ... See more keywords