IEEE

Improved Collaborative Non-Negative Matrix Factorization and Total Variation for Hyperspectral Unmixing

Abstract: Hyperspectral unmixing (HSU) is an important technique of remote sensing, which estimates the fractional abundances and the mixing matrix of endmembers in each mixed pixel from the ...
IEEE

Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources

Abstract: Most previous studies on matrix factorization (MF)-based collaborative filtering (CF) have focused solely on user rating information for predicting recommendations. However, to further ...

Matrix Organizations: How Leaders Can Be More Effective

Matrix structures don’t work on their own. The work is less about control and more about integration, often without formal ...
GitHub

tkarim45/recsys-two-stage

A production-shaped recommender: stage 1 retrieves candidates with matrix-factorization embeddings, stage 2 re-ranks them with a LightGBM model on richer features. Evaluated offline with Recall@k / ...
AZoQuantum

Quantum Elements and USC Advance Noisy Quantum Circuit Simulation with New Quantum Monte Carlo Algorithm

Quantum Elements and USC today announced the publication of a new Quantum Monte Carlo algorithm in Physical Review Letters, ...
The Earth Institute Columbia University

Sims Lab

Welcome to the Sims Lab at Columbia University. Our group resides in the Department of Systems Biology and the Department of Biochemistry & Molecular Biophysics. We develop new tools for genomic ...
GitHub

dishasonawat15/collaborative-filtering-engine

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...