In real industrial processes, fault diagnosis methods are required to le...
In this paper, a novel multimode dynamic process monitoring approach is
...
In this paper, sparsification techniques aided online prediction algorit...
This paper proposes a novel sparse principal component analysis algorith...
Kernelized maximum-likelihood (ML) expectation maximization (EM) methods...
This paper considers the problem of nonstationary process monitoring und...
For multimode processes, one has to establish local monitoring models
co...
By integrating two powerful methods of density reduction and intrinsic
d...
An improved mixture of probabilistic principal component analysis (PPCA)...
Graph inference plays an essential role in machine learning, pattern
rec...
This letter presents a novel Block Bayesian Hypothesis Testing Algorithm...
This paper presents a novel Block Iterative Bayesian Algorithm (Block-IB...
The incoherence between measurement and sparsifying transform matrices a...