Nyström Subspace Learning for Large-scale SVMs.
Weida LiMingxia LiuDaoqiang ZhangPublished in: CoRR (2020)
Keyphrases
- subspace learning
- manifold learning
- low rank approximation
- dimensionality reduction
- support vector
- low dimensional
- data representation
- sparse coding
- principal component analysis
- high dimensional
- support vector machine svm
- feature space
- sparse representation
- feature selection
- spectral clustering
- semi supervised
- pattern recognition
- training data
- face recognition
- training set
- machine learning
- subspace learning algorithm
- knn
- kernel function
- feature extraction
- support vectors
- image segmentation