Structured sparse multi-view feature selection based on weighted hinge loss.
Nan WangYiming XueQiang LinPing ZhongPublished in: Multim. Tools Appl. (2019)
Keyphrases
- multi view
- feature selection
- single view
- multiple views
- d objects
- loss function
- depth map
- text categorization
- multi class
- support vector
- text classification
- feature set
- learning algorithm
- feature space
- co training
- feature subset
- three dimensional
- semi supervised
- classification accuracy
- high dimensional
- feature extraction
- sparse representation
- reproducing kernel hilbert space
- dimensionality reduction
- support vector machine
- knn
- pairwise
- multi task
- viewpoint
- decision boundary
- computer vision