However, traditional EEG-based emotion recognition methods rely excessively on linear features (static analysis ... recognition method based on a linear-nonlinear feature reconstruction network using ...

Abstract: The issue of extended dissipativity analysis (EDA) for delayed Markovian jump neural ... the LKF derivative becomes a higher-order term of the time-varying delay. To solve this nonlinear ...

In the context of quantum physics, the term "duality" refers to transformations that link apparently distinct physical ...

Disproven alternative therapies for treating cognitive symptoms in Alzheimer's disease include omega-3 fatty acids, huperzine ...

As more and more organisations have moved to cross-functional and cross-regional ... For example, say you are undertaking situational analysis – perhaps you are doing a deep-dive into particular ...

This book is an introduction to partial differential equations (PDEs) and the relevant functional analysis tools which they require. It is based on a course which has been taught at Michigan State ...

Mobility is something you should strive for, while flexibility in and of itself isn’t functional ... or any of life’s nonlinear movements, such as reaching up and twisting.

The course is a continuation of MAT4410 – Advanced Linear Analysis and presents functional analysis from a more advanced perspective. Topics covered are: an introduction to locally convex spaces ...

This paper addresses a valuable research question on the heritability of the brain's response to movie watching, given various parameters such as regional spatial hyperalignment and BOLD frequency ...

smh.ca We present three considerations in analysing the association between weight and mortality, as well as other relations that might be non-linear in nature. First, authors must graphically plot ...

Check out our comprehsensive tutorial paper Foundations and Recent Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions. Tutorials on Multimodal Machine Learning at CVPR ...