Multiview clustering has received great attention and numerous subspace clustering
algorithms for multiview data have been presented. However, most of these algorithms do …

Generalized Canonical Correlation Analysis (GCCA) is an important tool that finds
numerous applications in data mining, machine learning, and artificial intelligence. It aims at …

Canonical correlation analysis (CCA) is a powerful technique for discovering whether or not
hidden sources are commonly present in two (or more) datasets. Its well-appreciated merits …

While frequency-domain algorithms have been demonstrated to be powerful for
conventional nonlinear signal processing, there is still not much progress in literature …

Aortic blood pressure is a vital signal that provides valuable medical information about
cardiovascular health condition. Noninvasive measurement of this signal is very …

This article studies the problem for parameter identification of nonlinear dynamical systems
(ie, the Hammerstein–Wiener systems) with additive coloured noises. Based on the gradient …

Aortic pressure (P a) is important for diagnosis of cardiovascular diseases, but it cannot be
directly measured by noninvasive means. We present a method for its estimation by …

Process monitoring (PM) is important for improving product quality and ensuring plant safety
in industrial systems. Recently, canonical correlation analysis (CCA)-based PM has shown …

The identification of affinely parameterized state–space system models is quite popular to
model practical physical systems or networked systems, and the traditional identification …

The accurate non‐invasive detection and estimation of central aortic pressure waveforms
(CAPW) are crucial for reliable treatments of cardiovascular system diseases. But the …