This is Part II of the two-part comprehensive survey devoted to a computing framework most
commonly known under the names Hyperdimensional Computing and Vector Symbolic …

The traditional means of monitoring the health of industrial systems involves the use of
vibration and performance monitoring techniques amongst others. In these approaches …

Abstract Vector Symbolic Architectures combine a high-dimensional vector space with a set
of carefully designed operators in order to perform symbolic computations with large …

We outline a model of computing with high-dimensional (HD) vectors-where the
dimensionality is in the thousands. It is built on ideas from traditional (symbolic) computing …

Hyperdimensional computing combines very high-dimensional vector spaces (eg 10,000
dimensional) with a set of carefully designed operators to perform symbolic computations …

Hyperdimensional (HD) computing is a promising paradigm for future intelligent electronic
appliances operating at low power. This paper discusses tradeoffs of selecting parameters …

Image and video descriptors are an omnipresent tool in computer vision and its application
fields like mobile robotics. Many hand-crafted and in particular learned image descriptors …

Place recognition is the task of recognizing the current scene from a database of known
places. The currently dominant algorithmic paradigm is to use (deep learning based) holistic …

Food profiling is an essential step in any food monitoring system needed to prevent health
risks and potential frauds in the food industry. Significant improvements in sequencing …

In this paper, we propose a new approach to implementing hierarchical graph neuron
(HGN), an architecture for memorizing patterns of generic sensor stimuli, through the use of …