A Spectral Deferred Correction Method for Solving Cardiac Models

This study investigates the acoustic correlates of the distinction between primary and secondary stress in English in accented and unaccented morphologically complex words that are either left-prominent or right-prominent (e.g. "violate vs. vio"lation). In both accented and unaccented words, the position of primary and secondary stress significantly influences F0, intensity, and spectral bala...

Spectral clustering methods have various real-world applications, such as face recognition, community detection, protein sequences clustering etc. Although spectral clustering methods can detect arbitrary shaped clusters, resulting thus in high clustering accuracy, the heavy computational cost limits their scalability. In this paper, we propose an accelerated spectral clustering method based on...

Cardiac fibre architecture plays a key role in heart function. Recently, the estimation of fibre structure has been simplified with diffusion tensor MRI (DT-MRI). In order to assess the heart architecture and its underlying function, with the goal of dealing with pathological tissues and easing inter-patient comparisons, we propose a methodology for finding cardiac myofibrille trace corresponde...

Spectral clustering enjoys its success in both data clustering and semisupervised learning. But, most spectral clustering algorithms cannot handle multi-class clustering problems directly. Additional strategies are needed to extend spectral clustering algorithms to multi-class clustering problems. Furthermore, most spectral clustering algorithms employ hard cluster membership, which is likely t...