CRAN/E | DNMF

DNMF

Discriminant Non-Negative Matrix Factorization

Installation

About

Discriminant Non-Negative Matrix Factorization aims to extend the Non-negative Matrix Factorization algorithm in order to extract features that enforce not only the spatial locality, but also the separability between classes in a discriminant manner. It refers to three article, Zafeiriou, Stefanos, et al. "Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification." Neural Networks, IEEE Transactions on 17.3 (2006): 683-695. Kim, Bo-Kyeong, and Soo-Young Lee. "Spectral Feature Extraction Using dNMF for Emotion Recognition in Vowel Sounds." Neural Information Processing. Springer Berlin Heidelberg, 2013. and Lee, Soo-Young, Hyun-Ah Song, and Shun-ichi Amari. "A new discriminant NMF algorithm and its application to the extraction of subtle emotional differences in speech." Cognitive neurodynamics 6.6 (2012): 525-535.

Citation DNMF citation info
github.com/zhilongjia/DNMF
Bug report File report

Key Metrics

Version 1.4.2
Published 2022-05-10 708 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks DNMF results

Downloads

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Maintainer

Maintainer

Zhilong Jia

zhilongjia@gmail.com

Authors

Zhilong Jia

aut / cre

Xiang Zhang

aut

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DNMF archive

Depends

foreach

Imports

Matrix
gplots
parallel
doParallel