Efficient nonlinear classification via low-rank regularised least squares.
Zhouyu FuGuojun LuKai Ming TingDengsheng ZhangPublished in: Neural Comput. Appl. (2013)
Keyphrases
- low rank
- sparse linear
- least squares
- singular value decomposition
- matrix factorization
- convex optimization
- high order
- linear combination
- pattern recognition
- kernel matrix
- high dimensional data
- machine learning
- support vector
- image classification
- rank minimization
- matrix completion
- feature vectors
- feature extraction
- trace norm
- decision trees
- computer vision
- semi supervised
- support vector machine
- recommender systems
- high dimensional
- pairwise
- feature space
- matrix decomposition