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A survey on hyperdimensional computing aka vector symbolic architectures, part i: Models and data transformations
This two-part comprehensive survey is devoted to a computing framework most commonly
known under the names Hyperdimensional Computing and Vector Symbolic Architectures …
known under the names Hyperdimensional Computing and Vector Symbolic Architectures …
A survey on hyperdimensional computing aka vector symbolic architectures, part ii: Applications, cognitive models, and challenges
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 …
commonly known under the names Hyperdimensional Computing and Vector Symbolic …
Classification using hyperdimensional computing: A review
Hyperdimensional (HD) computing is built upon its unique data type referred to as
hypervectors. The dimension of these hypervectors is typically in the range of tens of …
hypervectors. The dimension of these hypervectors is typically in the range of tens of …
Vector symbolic architectures as a computing framework for emerging hardware
This article reviews recent progress in the development of the computing framework vector
symbolic architectures (VSA)(also known as hyperdimensional computing). This framework …
symbolic architectures (VSA)(also known as hyperdimensional computing). This framework …
A comparison of vector symbolic architectures
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 …
of carefully designed operators in order to perform symbolic computations with large …
Efficient biosignal processing using hyperdimensional computing: Network templates for combined learning and classification of ExG signals
Recognizing the very size of the brain's circuits, hyperdimensional (HD) computing can
model neural activity patterns with points in a HD space, that is, with HD vectors. Key …
model neural activity patterns with points in a HD space, that is, with HD vectors. Key …
A theoretical perspective on hyperdimensional computing
Hyperdimensional (HD) computing is a set of neurally inspired methods for obtaining
highdimensional, low-precision, distributed representations of data. These representations …
highdimensional, low-precision, distributed representations of data. These representations …
Computing on functions using randomized vector representations (in brief)
Vector space models for symbolic processing that encode symbols by random vectors have
been proposed in cognitive science and connectionist communities under the names Vector …
been proposed in cognitive science and connectionist communities under the names Vector …
High-dimensional computing as a nanoscalable paradigm
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 …
dimensionality is in the thousands. It is built on ideas from traditional (symbolic) computing …
Classification and recall with binary hyperdimensional computing: Tradeoffs in choice of density and map** characteristics
Hyperdimensional (HD) computing is a promising paradigm for future intelligent electronic
appliances operating at low power. This paper discusses tradeoffs of selecting parameters …
appliances operating at low power. This paper discusses tradeoffs of selecting parameters …