The rapid evolution of technology has led to the generation of high dimensional data
streams in a wide range of fields, such as genomics, signal processing, and finance. The …

Adoption of digital twins in smart factories, that model real statuses of manufacturing systems
through simulation with real time actualization, are manifested in the form of increased …

We consider the problem of detecting abrupt changes in the distribution of a multi-
dimensional time series, with limited computing power and memory. In this paper, we …

Kernel based methods have become popular in a wide variety of machine learning tasks.
They rely on the computation of kernel functions, which implicitly transform the data in its …

The adoption of a digital twin for a smart factory offers several advantages, such as improved
production and reduced costs, and energy consumption. Due to the growing demands of the …

In recent years social media became an important part of everyday life for many people. A
big challenge of social media is, to find posts, that are interesting for the user. Many social …

The internet of things generates huge amounts of multidimensional sensor readings. The
analysis of these high dimensional data is chal-lenging and not sufficiently addressed. In …

Abstract Approximate Matrix Multiplication (AMM) has emerged as a useful and
computationally inexpensive substitute for actual multiplication of large matrices …

Kernel functions are powerful techniques that have been used successfully in many
machine learning algorithms. Explicit kernel maps have emerged as an alternative to …