X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp.6287-6304, 2017.

SegNext Implementation in PyTorch

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

Making movies recommendation using a Collaborative Filtering Algorithm on the famous MovieLens dataset.

distributed nonnegative matrix factorization methods

Echo aware source separation

A blind source separation package using non-negative matrix factorization and non-negative ICA

Transform Learning for NMF

PyTorch implementations of the beta divergence loss.

Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)

CSBB - Computational Suite For Bioinformaticians and Biologists

New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB

Audio-based perception for autonomous cars is very important for discerning and comprehending the environment, as it can complement existing vision-based perception and pave the way for multimodal operation. However, these sensors have not yet been fully established in modern autonomous vehicles, robbing the system of context when needing to mak…

A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering

😊 Extract News of main streams of China.信息源主题提取

Computational Intelligence Lab project at ETH Zurich.

The code for prototype selection and instance ranking using matrix decomposition and subspace learning

Automatic classification of tickets / complaints in the financial / banking sector.

Investigating the impact of Twitter Bots on the 2020 U.S. Presidential Election's Twitter Discourse

Bachelor Thesis: Classsification of Advertisements by means of Supervised Learning Methods