Search Results for author:
Found 2 papers, 0 papers with code
Laplace-HDC: Understanding the geometry of binary hyperdimensional computing
This paper studies the geometry of binary hyperdimensional computing (HDC), a computational scheme in which data are encoded using high-dimensional binary vectors.
Manually Selecting The Data Function for Supervised Learning of small datasets
Firstly, we implemented a semi-supervised assumption by using the same Fredholm operator kernel and data function kernel and incorporating unlabeled information.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
