15 citations · 35 across the 3 of their papers we have counts for
3 papers
quant-ph2025★ 11 cited
Quantum autoencoders for image classification
Hinako Asaoka, Kazue Kudo
Classical machine learning often struggles with complex, high-dimensional data. Quantum machine learning offers a potential solution, promising more efficient processing. The quant…
quant-ph2023★ 15 cited
Nonnegative/Binary Matrix Factorization for Image Classification using Quantum Annealing
Hinako Asaoka, Kazue Kudo
Classical computing has borne witness to the development of machine learning. The integration of quantum technology into this mix will lead to unimaginable benefits and be regarded…
cs.CV2020★ 9 cited
Image Analysis Based on Nonnegative/Binary Matrix Factorization
Hinako Asaoka, Kazue Kudo
Using nonnegative/binary matrix factorization (NBMF), a matrix can be decomposed into a nonnegative matrix and a binary matrix. Our analysis of facial images, based on NBMF and usi…