Exploring canonical correlation analysis with subspace and structured sparsity for web image annotation.
Liang TaoHorace H. S. IpAijun ZhangXin ShuPublished in: Image Vis. Comput. (2016)
Keyphrases
- canonical correlation analysis
- least squares
- principal component analysis
- low dimensional
- subspace learning
- linear subspace
- feature space
- high dimensional
- high dimensional data
- data sets
- feature extraction
- group lasso
- missing data
- image representation
- object recognition
- pattern recognition
- similarity measure
- face recognition
- machine learning