Low-rank nonnegative matrix factorization on Stiefel manifold.
Ping HeXiaohua XuJie DingBaichuan FanPublished in: Inf. Sci. (2020)
Keyphrases
- nonnegative matrix factorization
- low rank
- matrix factorization
- matrix decomposition
- euclidean space
- negative matrix factorization
- missing data
- collaborative filtering
- low dimensional
- low rank matrix
- matrix completion
- data representation
- recommender systems
- data matrix
- linear combination
- high dimensional
- sparsity constraints
- factorization methods
- least squares
- principal component analysis
- kernel matrix
- data points
- low rank approximation
- convex optimization
- singular value decomposition
- semi supervised
- singular values
- euclidean distance
- high order
- computer vision
- latent structure
- data sets
- binary matrix
- unsupervised feature selection
- original data
- high dimensional data
- image classification
- higher order
- data analysis
- objective function