Articles with "hyper dimensional" as a keyword



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A Programmable Hyper-Dimensional Processor Architecture for Human-Centric IoT

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Published in 2019 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"

DOI: 10.1109/jetcas.2019.2935464

Abstract: Hyper-dimensional Computing (HDC), a bio-inspired paradigm defined on random high-dimensional vectors, has emerged as a promising IoT paradigm. It is known to provide competitive accuracy on sequential prediction tasks with much smaller model size and… read more here.

Keywords: centric iot; programmable hyper; architecture; hyper dimensional ... See more keywords
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Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing

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Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2021.3069139

Abstract: Brain-inspired hyper-dimensional (HD) computing is a new computing paradigm emulating the neuron’s activity in high-dimensional space. The first step in HD computing is to map each data point into high-dimensional space (e.g., 10 000), which… read more here.

Keywords: dimensional computing; model; model quantization; hyper dimensional ... See more keywords
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Hyper-Dimensional Modulation for Robust Short Packets in Massive Machine-Type Communications

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Published in 2023 at "IEEE Transactions on Communications"

DOI: 10.1109/tcomm.2023.3239512

Abstract: In this paper, we introduce Hyper-Dimensional Modulation (HDM) for massive machine-type communications (mMTC). HDM enables robust communication of short packets by spreading information bits across many elements in a hyper-dimensional vector and superimposing a set… read more here.

Keywords: short packets; machine type; massive machine; type communications ... See more keywords

Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline

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Published in 2022 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2022.867192

Abstract: Brain-inspired Hyper-dimensional(HD) computing is a novel and efficient computing paradigm. However, highly parallel architectures such as Processing-in-Memory(PIM) are bottle-necked by reduction operations required such as accumulation. To reduce this bottle-neck of HD computing in PIM,… read more here.

Keywords: dimensional computing; stochastic leveraging; stochastic computing; hyper dimensional ... See more keywords
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Towards Hyper-Dimensional Variography Using the Product-Sum Covariance Model

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Published in 2019 at "Atmosphere"

DOI: 10.3390/atmos10030148

Abstract: Modeling hyper-dimensional spatial variability is a complex task from both practical and theoretical standpoints. In this paper we develop a method for modeling hyper-dimensional covariance (variogram) structures using the product-sum covariance model initially developed to… read more here.

Keywords: model; product sum; hyper dimensional; covariance ... See more keywords