Combining neighborhood separable subspaces for classification via sparsity regularized optimization.
Pengfei ZhuQinghua HuYahong HanChangqing ZhangYong DuPublished in: Inf. Sci. (2016)
Keyphrases
- feature space
- high dimensional
- feature vectors
- pattern recognition
- training samples
- optimization algorithm
- classification accuracy
- classification scheme
- support vector
- risk minimization
- support vector machine
- least squares
- pattern classification
- optimization problems
- classification method
- linearly separable
- classification models
- sparse reconstruction
- decision trees
- training data
- machine learning
- support vector machine svm
- low dimensional
- image classification
- principal component analysis
- supervised learning
- training set
- objective function
- sparsity constraints
- grassmann manifold