On Low-Rank Regularized Least Squares for Scalable Nonlinear Classification.
Zhouyu FuGuojun LuKai Ming TingDengsheng ZhangPublished in: ICONIP (2) (2011)
Keyphrases
- low rank
- regularized least squares
- matrix factorization
- missing data
- linear combination
- high order
- machine learning
- singular value decomposition
- convex optimization
- pattern recognition
- high dimensional data
- image classification
- support vector machine
- support vector
- class labels
- feature extraction
- learning algorithm
- feature set
- text classification
- feature vectors
- machine learning algorithms
- sparse representation
- feature selection