Low-rank feature selection for multi-view regression.
Rongyao HuDebo ChengWei HeGuoqiu WenYonghua ZhuJilian ZhangShichao ZhangPublished in: Multim. Tools Appl. (2017)
Keyphrases
- multi view
- low rank
- feature selection
- semi supervised
- model selection
- single view
- linear combination
- missing data
- convex optimization
- multiple views
- matrix factorization
- support vector
- singular value decomposition
- semi supervised learning
- text categorization
- depth map
- three dimensional
- d objects
- high order
- labeled data
- high dimensional data
- dimensionality reduction
- unsupervised learning
- text classification
- bundle adjustment
- image processing
- feature set
- motion capture
- machine learning
- feature subset
- gaussian processes
- multi class
- higher order
- active learning
- pairwise
- multi task
- feature space
- object recognition
- view synthesis
- feature extraction
- data sets
- light field