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Hyperdimensional Computing for Efficient Distributed Classification with
  Randomized Neural Networks

Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks

2 June 2021
A. Rosato
Massimo Panella
Denis Kleyko
ArXivPDFHTML

Papers citing "Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks"

6 / 6 papers shown
Title
A Survey on Hyperdimensional Computing aka Vector Symbolic
  Architectures, Part II: Applications, Cognitive Models, and Challenges
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
26
128
0
12 Nov 2021
Hyperseed: Unsupervised Learning with Vector Symbolic Architectures
Hyperseed: Unsupervised Learning with Vector Symbolic Architectures
Evgeny Osipov
Sachin Kahawala
D. Haputhanthri
Thimal Kempitiya
Daswin De Silva
D. Alahakoon
Denis Kleyko
44
26
0
15 Oct 2021
Generalized Learning Vector Quantization for Classification in
  Randomized Neural Networks and Hyperdimensional Computing
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing
Cameron Diao
Denis Kleyko
J. Rabaey
Bruno A. Olshausen
26
26
0
17 Jun 2021
Vector Symbolic Architectures as a Computing Framework for Emerging
  Hardware
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware
Denis Kleyko
Mike Davies
E. P. Frady
P. Kanerva
Spencer J. Kent
...
Evgeny Osipov
J. Rabaey
D. Rachkovskij
Abbas Rahimi
Friedrich T. Sommer
40
57
0
09 Jun 2021
Cellular Automata Can Reduce Memory Requirements of Collective-State
  Computing
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing
Denis Kleyko
E. P. Frady
Friedrich T. Sommer
19
16
0
07 Oct 2020
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
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