ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.12691
  4. Cited By
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs

Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs

27 April 2020
E. P. Frady
Garrick Orchard
David Florey
N. Imam
Ruokun Liu
Joyesh Mishra
Jonathan Tse
Andreas Wild
Friedrich T. Sommer
Mike Davies
ArXivPDFHTML

Papers citing "Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs"

9 / 9 papers shown
Title
Applications of Spiking Neural Networks in Visual Place Recognition
Applications of Spiking Neural Networks in Visual Place Recognition
S. Hussaini
Michael Milford
Tobias Fischer
66
6
0
22 Nov 2023
Security-Aware Approximate Spiking Neural Networks
Security-Aware Approximate Spiking Neural Networks
Syed Tihaam Ahmad
Ayesha Siddique
K. A. Hoque
AAML
23
2
0
12 Jan 2023
Ensembles of Compact, Region-specific & Regularized Spiking Neural
  Networks for Scalable Place Recognition
Ensembles of Compact, Region-specific & Regularized Spiking Neural Networks for Scalable Place Recognition
S. Hussaini
Michael Milford
Tobias Fischer
6
9
0
19 Sep 2022
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
21
126
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
42
26
0
15 Oct 2021
Beyond Classification: Directly Training Spiking Neural Networks for
  Semantic Segmentation
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation
Youngeun Kim
Joshua Chough
Priyadarshini Panda
40
79
0
14 Oct 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
32
56
0
09 Jun 2021
Variable Binding for Sparse Distributed Representations: Theory and
  Applications
Variable Binding for Sparse Distributed Representations: Theory and Applications
E. P. Frady
Denis Kleyko
Friedrich T. Sommer
15
55
0
14 Sep 2020
Neuromorphic Computing for Content-based Image Retrieval
Neuromorphic Computing for Content-based Image Retrieval
Te-Yuan Liu
A. Mahjoubfar
Daniel Prusinski
Luis Stevens
VLM
24
11
0
04 Aug 2020
1