research
∙
09/15/2023
Deep Nonnegative Matrix Factorization with Beta Divergences
Deep Nonnegative Matrix Factorization (deep NMF) has recently emerged as...
share
research
∙
09/29/2022
NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers
Classical machine learning models such as deep neural networks are usual...
research
∙
10/27/2021
Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of audio signals
Nonnegative Tucker Decomposition (NTD), a tensor decomposition model, ha...
research
∙
10/30/2020
Multiplicative Updates for NMF with β-Divergences under Disjoint Equality Constraints
Nonnegative matrix factorization (NMF) is the problem of approximating a...
research
∙
07/08/2020
Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing
Blind spectral unmixing is the problem of decomposing the spectrum of a ...
research
∙
07/04/2019
Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF
Considering a mixed signal composed of various audio sources and recorde...
research
∙
01/30/2019