research
∙
05/27/2023
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication
Metrics for set similarity are a core aspect of several data mining task...
share
research
∙
04/24/2023
HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing
Hyperdimensional Computing (HDC) is a bio-inspired computing framework t...
research
∙
05/18/2022
Torchhd: An Open-Source Python Library to Support Hyperdimensional Computing Research
Hyperdimensional Computing (HDC) is a neuro-inspired computing framework...
research
∙
05/16/2022
An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing
Hyperdimensional Computing (HDC) is a computation framework based on pro...
research
∙
05/16/2022
Hyperdimensional Hashing: A Robust and Efficient Dynamic Hash Table
Most cloud services and distributed applications rely on hashing algorit...
research
∙
05/16/2022
GraphHD: Efficient graph classification using hyperdimensional computing
Hyperdimensional Computing (HDC) developed by Kanerva is a computational...
research
∙
07/04/2017
OPEB: Open Physical Environment Benchmark for Artificial Intelligence
Artificial Intelligence methods to solve continuous- control tasks have ...
research
∙
05/30/2017
