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.

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

distributed nonnegative matrix factorization methods

Echo aware source separation

Transform Learning for NMF

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

Blind source separation using non-negative matrix factorization and non-negative ICA

CSBB - Computational Suite For Bioinformaticians and Biologists

Computational Intelligence Lab project at ETH Zurich.

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

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

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 make important driving decisions. Our project seeks to take steps towards tackling this by applying machine learning techniques to help separate, classify and localise sounds of objects in a car’s vicinity. With these two capabilities, a car is more well-informed of its surroundings and can act accordingly (such as responding and making way for police cars, ambulances and fire trucks).

hierarchical NMF

NMF Decomposition of two iconic rock songs introductions.

Multimedia and Web Databases Fall 2019 project

Extracted regions of interest that correspond to individual neurons from time-varying images using image features extraction techniques like Non-Negative Matrix Factorization and deep learning segmentation model Unet. Using PySpark, Thunder, Keras.

A comparison of LDA and NMF on ABC new headlines dataset

Segregating Quora Questions to 8 Categories

Summarizing amazon fine food reviews and finding relevant topics through NLP based models