Search Results for author: Giovanni Barbarino

Found 2 papers, 1 papers with code

Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization

1 code implementation29 Mar 2024 Maryam Abdolali, Giovanni Barbarino, Nicolas Gillis

Simplex-structured matrix factorization (SSMF) is a generalization of nonnegative matrix factorization, a fundamental interpretable data analysis model, and has applications in hyperspectral unmixing and topic modeling.

Hyperspectral Unmixing

Permutation NMF

no code implementations3 Aug 2016 Giovanni Barbarino

In particular, it is popular in image processing since it can decompose several pictures and recognize common parts if they're located in the same position over the photos.

BIG-bench Machine Learning Clustering +2

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