A label embedding kernel method for multi-view canonical correlation analysis.
Shuzhi SuHongwei GeYunhao YuanPublished in: Multim. Tools Appl. (2017)
Keyphrases
- multi view
- canonical correlation analysis
- kernel methods
- learning problems
- kernel function
- least squares
- machine learning
- three dimensional
- support vector
- partial least squares
- support vector machine
- feature space
- d objects
- learning tasks
- reproducing kernel hilbert space
- multi label
- vector space
- semi supervised
- class labels
- dimensionality reduction methods
- image processing
- mutual information
- random projections
- dimensionality reduction