This paper studies the capacity of an n-dimensional vector Gaussian noise channel subject
to the constraint that an input must lie in the ball of radius R centered at the origin. It is known …

With a rapidly increasing number of devices connected to the internet, big data has been
applied to various domains of human life. Nevertheless, it has also opened new venues for …

The rapid rise of IoT and Big Data can facilitate the use of data to enhance our quality of life.
However, the omnipresent and sensitive nature of data can simultaneously generate privacy …

In machine learning, feature engineering has been a pivotal stage in building a high-quality
predictor. Particularly, this work explores the multiple Kernel Discriminant Component …

… op het recentste nationale hemelwaterbeleid en de zojuist in werking getreden Omgevingswet;
over de verantwoordelijkheidsverdeling voor de omgang met hemelwater is immers al …

Pattern recognition on big data can be challenging for kernel machines as the complexity
grows with the squared number of training samples. In this work, we overcome this hurdle via …

Kernel approximation methods create explicit, low-dimensional kernel feature maps to deal
with the high computational and memory complexity of standard techniques. This work …

The use of expanded metal in ferrocement boat construction and the test results obtained are
described. Tests were made in bending, tension, impact and fatigue. The results indicated …

The rapid rise of IoT and Big Data has facilitated copious data-driven applications to enhance
our quality of life. However, the omnipresent and all-encompassing nature of the data …

The rapid rise of IoT and Big Data has facilitated copious data driven applications to
enhance our quality of life. However, the omnipresent and all-encompassing nature of data …