Quadratic Matrix Factorization with Applications to Manifold Learning.
Zheng ZhaiHengchao ChenQiang SunPublished in: CoRR (2023)
Keyphrases
- manifold learning
- matrix factorization
- collaborative filtering
- low rank
- dimensionality reduction
- high dimensional
- low dimensional
- recommender systems
- semi supervised
- missing data
- nonnegative matrix factorization
- negative matrix factorization
- high dimensional data
- factorization methods
- dimension reduction
- feature extraction
- factor analysis
- pairwise
- sparse representation
- data sets
- active learning
- principal component analysis
- discriminant analysis
- supervised learning
- feature vectors
- machine learning
- latent space