Multi-view unsupervised feature selection with tensor low-rank minimization.
Haoliang YuanJunyu LiYong LiangYuan Yan TangPublished in: Neurocomputing (2022)
Keyphrases
- multi view
- low rank
- unsupervised feature selection
- data matrix
- high order
- norm minimization
- semi supervised
- matrix completion
- dimensionality reduction
- convex optimization
- high dimensional data
- singular value decomposition
- matrix factorization
- multiple views
- linear combination
- feature selection
- missing data
- d objects
- higher order
- three dimensional
- data clustering
- bundle adjustment
- semi supervised learning
- pairwise
- unsupervised learning
- labeled data
- high dimensional
- unlabeled data
- collaborative filtering
- principal component analysis
- model selection
- negative matrix factorization
- feature space
- image sequences
- data mining