Solving weakly supervised regression problem using low-rank manifold regularization.
Vladimir B. BerikovAlexander LitvinenkoPublished in: CoRR (2021)
Keyphrases
- low rank
- weakly supervised
- semi supervised
- matrix completion
- semi supervised learning
- convex optimization
- labeled data
- matrix factorization
- linear combination
- unlabeled data
- missing data
- unsupervised learning
- supervised learning
- singular value decomposition
- labeled and unlabeled data
- superpixels
- active learning
- pairwise
- model selection
- singular values
- high order
- pairwise constraints
- generative model
- support vector
- high dimensional data
- dimensionality reduction
- machine learning