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09/02/2023
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction
Multi-modal regression is important in forecasting nonstationary process...
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02/23/2022
Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring
In this paper, a novel multimode dynamic process monitoring approach is ...
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12/13/2020
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation
By integrating two powerful methods of density reduction and intrinsic d...
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12/12/2020
An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring
An improved mixture of probabilistic principal component analysis (PPCA)...
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11/15/2019
Coupling Matrix Manifolds and Their Applications in Optimal Transport
Optimal transport (OT) is a powerful tool for measuring the distance bet...
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01/29/2019
Sparse Least Squares Low Rank Kernel Machines
A general framework of least squares support vector machine with low ran...
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09/04/2015
l1-norm Penalized Orthogonal Forward Regression
A l1-norm penalized orthogonal forward regression (l1-POFR) algorithm is...
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04/07/2015