Dynamic Probabilistic Latent Variable Model for Process Data Modeling and Regression Application
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2017.2767022
Abstract: Dynamic and uncertainty are two main features of the industrial process data which should be paid attention when carrying out process data modeling and analytics. In this paper, the dynamical and uncertain data characteristics are… read more here.
Keywords: variable model; latent variable; process data; probabilistic latent ... See more keywords
Hyperspectral Unmixing Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2018.2837150
Abstract: This paper presents a novel approach for spectral unmixing of remotely sensed hyperspectral data. It exploits probabilistic latent topics in order to take advantage of the semantics pervading the latent topic space when identifying spectral… read more here.
Keywords: probabilistic latent; sparse probabilistic; hyperspectral unmixing; dual depth ... See more keywords
Removal of Cochannel Interference Using Probabilistic Latent Component Analysis in Passive Bistatic Radar
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Problems in Engineering"
DOI: 10.1155/2021/6669851
Abstract: This paper examines the problem of cancellation of cochannel interference (CCI) present in the same frequency channel as the signal of interest, which may bring a reduction in the performance of target detection, in passive… read more here.
Keywords: component analysis; probabilistic latent; cochannel interference; bistatic radar ... See more keywords