Block Majorization Minimization with Extrapolation and Application to \({\beta }\)-NMF

Authors

Institutions

Publication Details

Journal
SIAM Journal on Mathematics of Data Science
Published
2025-08-13
DOI
https://doi.org/10.1137/24m1660188
Citations
2
Primary Topic
Sparse and Compressive Sensing Techniques
Type
article
Field-Weighted Citation Impact
2.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Block Majorization Minimization with Extrapolation and Application to \({\beta }\)-NMF

Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat
2 citations
SIAM Journal on Mathematics of Data Science
Sparse and Compressive Sensing Techniques
2.67
article

Block Majorization Minimization with Extrapolation and Application to \({\beta }\)-NMF

Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat
article en
2 citations

Abstract

No abstract available for this paper.
SIAM Journal on Mathematics of Data ScienceVol. 7(3)
University of Mons (BE), Innopolis University (RU)
European Commission, European Research Council
Openalex Percentile: Top 10%
Sparse and Compressive Sensing Techniques
2.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Block Majorization Minimization with Extrapolation and Application to \({\beta }\)-NMF — Nicolas Gillis, Le Thi Khanh Hien, et al. · SIAM Journal on Mathematics of Data Science (2025) | TGRS Research Map | TGRS