Search Results for author: Kazuo Aoyama

Found 3 papers, 0 papers with code

Acceleration Method for Learning Fine-Layered Optical Neural Networks

no code implementations1 Sep 2021 Kazuo Aoyama, Hiroshi Sawada

Among them, a circuit with a multiple-layered structure of programmable Mach-Zehnder interferometers (MZIs) can realize a specific class of unitary matrices with a limited number of MZIs as its weight matrix.

Structured Inverted-File k-Means Clustering for High-Dimensional Sparse Data

no code implementations30 Mar 2021 Kazuo Aoyama, Kazumi Saito

This paper presents an architecture-friendly k-means clustering algorithm called SIVF for a large-scale and high-dimensional sparse data set.

Clustering Vocal Bursts Intensity Prediction

Inverted-File k-Means Clustering: Performance Analysis

no code implementations21 Feb 2020 Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda

This paper presents an inverted-file k-means clustering algorithm (IVF) suitable for a large-scale sparse data set with potentially numerous classes.

Clustering

Cannot find the paper you are looking for? You can Submit a new open access paper.